US20130012408A1
2013-01-10
13/546,674
2012-07-11
A method of determining the presence or the absence of a glaucoma risk by detecting in vitro an allele and/or a genotype of a single nucleotide polymorphism, comparing the allele and/or the genotype detected with at least one of an allele and/or a genotype with a high-risk allele, wherein the presence of a glaucoma risk is determined in a case where the allele detected is the high-risk allele, or the presence of a glaucoma risk is determined in a case where the genotype detected is a homozygote of the genotype comprising the high-risk allele or a heterozygote when the high-risk allele complies with a dominant genetic model, or the presence of a glaucoma risk is determined in a case where the genotype detected is a homozygote of the genotype comprising the high-risk allele when the high-risk allele complies with a recessive genetic model.
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C12Q1/6886 » CPC main
Measuring or testing processes involving enzymes, nucleic acids or microorganisms ; Compositions therefor; Processes of preparing such compositions involving nucleic acids; Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
C12Q1/6883 » CPC further
Measuring or testing processes involving enzymes, nucleic acids or microorganisms ; Compositions therefor; Processes of preparing such compositions involving nucleic acids; Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
C12Q2600/156 » CPC further
Oligonucleotides characterized by their use Polymorphic or mutational markers
C40B30/04 IPC
Methods of screening libraries by measuring the ability to specifically bind a target molecule, e.g. antibody-antigen binding, receptor-ligand binding
C12Q1/68 IPC
Measuring or testing processes involving enzymes, nucleic acids or microorganisms ; Compositions therefor; Processes of preparing such compositions involving nucleic acids
The present invention relates to a method of detecting the presence of a single nucleotide polymorphism associated with the onset of glaucoma, or a single nucleotide polymorphism with a high onset risk of glaucoma, and a kit used in the detection method.
Glaucoma is a disease which causes a characteristic optic nerve cupping and an impairment in a visual field by retinal ganglion cell death. An elevation in an intraocular pressure is considered to be a major cause for the nerve cupping and the impairment in the visual field in glaucoma. On the other hand, there is also glaucoma in which an intraocular pressure is held within a normal range in statistical calculation, and even in this case, it is considered that glaucoma develops because the intraocular pressure is at a sufficiently high level for causing the impairment in a visual field for an individual.
The basic treatment for glaucoma is to maintain an intraocular pressure at a low level, and it is necessary to consider the causes for a high intraocular pressure in order to maintain a low intraocular pressure. Therefore, in the diagnosis of glaucoma, it is important to classify the types of glaucoma in accordance with the levels of intraocular pressures and causes therefor. As the causes for an elevation in an intraocular pressure, the presence or absence of closure of angle which is a major drainage pathway for an aqueous humor filling an eye is important. From these viewpoints, the primary glaucoma is roughly classified into the two groups of closed-angle glaucoma accompanying angle closure and open-angle glaucoma without accompanying angle closure. Among them, the open-angle glaucoma is classified into open-angle glaucoma, in a narrow sense, accompanying an elevation in an intraocular pressure, i.e. primary open-angle glaucoma, and normal tension glaucoma in which an intraocular pressure is held within a normal range.
It is known from old times that glaucoma is associated with inheritance. It is reported that 5 to 50% of individuals with open-angle glaucoma have a family history, and it is generally understood that 20 to 25% of individuals have hereditary causes. Based on these reports, studies on a search for a gene responsible for glaucoma are performed. As a result, it is reported that a mutation in myocilin (MYOC) gene is associated with open-angle glaucoma (See Patent Publication: 1), and that a mutation in optineurin gene (OPTN) is associated with normal tension glaucoma (See Non-Patent Publication: 1). However, all the genetic causes of glaucoma cannot be explained only by these genes, and the presence of unknown glaucoma-related genes is expected.
On the other hand, a single nucleotide polymorphism means that a substitution mutation in which a single base is changed into another base is found in base sequences of the genome of an individual, and the mutation exists in a certain frequency, generally a frequency of about 1% or more, in the population of an organism species. A single nucleotide polymorphism exists at intron or exon on genes, or any of the regions of the genome other than these.
Generally, an intraocular pressure or an ocular fundus photograph is used as a simple examination for glaucoma; however, these examinations do not necessarily lead to a definite diagnosis for glaucoma. Usually, in addition to these, visual field examinations are performed; however, there are some disadvantages that the examination is carried out for a long period of time, causing burdens on patients, and that one must be accustomed to the examination, so that initial examination results have low reliability.
On the other hand, as mentioned above, the involvement of hereditary causes is strongly suspected in the onset of glaucoma, but critical responsible genes are not identified. On the other hand, even if the involvement of a single gene to the disease cannot be explained by a mutation or polymorphism, it is considered that there are numerous mutations or polymorphisms of a gene of which involvement to glaucoma is relatively moderate, and the involvement of hereditary causes to the onset of glaucoma can be explained by a combined action of each of these mutations or polymorphisms.
The inventors have remarked on a polymorphism on the genome, especially a single nucleotide polymorphism, in order to find a gene associated with glaucoma.
By finding polymorphisms involved in the onset of glaucoma, a person having the polymorphisms which are found in a high frequency in glaucoma patients is predicted to have a high onset risk of glaucoma in future even before the onset thereof. Also, the polymorphisms can be applied to screening of whether or not a visual field examination is required, in an early stage of glaucoma which is difficult to be detected by the simple determination of glaucoma, i.e. a method such as a measurement of intraocular pressure or an ocular fundus photograph, which is available to be diagnosed only by carrying out the visual field examination. In other words, a sample donor can take a preventive measure for the onset of glaucoma by knowing the onset risk of glaucoma, and in addition, a necessary measure for preventing visual constriction such as a definite diagnosis and an initiation of treatment at an early stage according to a precision examination can be taken; therefore, it is important to find a polymorphism involved in the onset of glaucoma.
An object of the present invention is to provide a method of detecting a single nucleotide polymorphism involved in the onset of glaucoma, thereby predicting an onset risk of glaucoma, and a kit used in the detection method.
The present inventors have found a single nucleotide polymorphism associated with the onset of glaucoma by a comprehensive analysis of known polymorphic sites existing on the genome (autosome) in glaucoma patients and non-patients without a family history of glaucoma, and further found an allele identified in a high frequency in glaucoma patients and an opposite allele thereof, and a genotype identified in a high frequency in glaucoma patients, which is a combination of each of the alleles, in the single nucleotide polymorphism. Furthermore, the present inventors have found that a determination on whether or not a sample donor is a person who is more likely to suffer from the onset of glaucoma can be made at an even higher precision by performing the determination in a combination of these plural single nucleotide polymorphisms associated with the onset of glaucoma. Thus, the present invention has been perfected thereby.
Concretely, the present invention relates to:
[1] a method of determining the presence or the absence of a glaucoma risk, including the steps of:
detecting in vitro an allele and/or a genotype of a single nucleotide polymorphism which is located on a 31st base of a base sequence, in a sample from a subject, wherein the base sequence is at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto (step A), and
comparing the allele and/or the genotype detected in the step A with at least one of an allele and/or a genotype, containing a high-risk allele, in the base sequences shown in SEQ ID NOs: 203 to 514 (step B),
wherein the presence of a glaucoma risk is determined in a case where the allele detected in the step A is the high-risk allele, or
wherein the presence of a glaucoma risk is determined in a case where the genotype detected in the step A is a homozygote of the genotype containing the high-risk allele or a heterozygote when the high-risk allele complies with a dominant genetic model, or
wherein the presence of a glaucoma risk is determined in a case where the genotype detected in the step A is a homozygote of the genotype containing the high-risk allele when the high-risk allele complies with a recessive genetic model;
[2] a method of determining the presence or the absence of a glaucoma risk, including the steps of:
detecting in vitro, in a sample from a subject, an allele and/or a genotype of a single nucleotide polymorphism which is located on a 31st base of a base sequence in a nucleic acid molecule, wherein the nucleic acid molecule comprises at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto (step C1), or
detecting in vitro, in a sample from a subject, an allele and/or a genotype of a single nucleotide polymorphism, using a nucleic acid molecule comprising a base sequence containing at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 515 to 694 or a complementary sequence thereto (step C2), and
comparing the allele and/or the genotype detected in the step C1 or C2 with at least one nucleic acid molecule comprising an allele and/or a genotype, containing a high-risk allele, in the base sequences shown in the SEQ ID NOs: 203 to 514 (step D),
wherein the presence of a glaucoma risk is determined in a case where the allele detected in the step C1 or C2 is the high-risk allele, or
wherein the presence of a glaucoma risk is determined in a case where the genotype detected in the step C1 or C2 is a homozygote of the genotype containing the high-risk allele or a heterozygote when the high-risk allele complies with a dominant genetic model, or
wherein the presence of a glaucoma risk is determined in a case where the genotype detected in the step C1 or C2 is a homozygote of the genotype containing the high-risk allele when the high-risk allele complies with a recessive genetic model;
[3] a kit of determining the presence or the absence of a glaucoma risk, containing
a nucleic acid molecule comprising at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto, or a partial sequence thereof, wherein the nucleic acid molecule comprises a single nucleotide polymorphism which is located on a 31st base of a base sequence, and/or
a nucleic acid molecule comprising a base sequence containing at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 515 to 694 or a complementary sequence thereto,
wherein the kit is for use in detecting in vitro an allele and/or a genotype of a single nucleotide polymorphism in a sample from a subject;
[4] a method of determining the presence or the absence of a glaucoma risk, including the following steps of:
step (i): extracting a nucleic acid molecule from a sample from a subject,
step (ii): detecting an allele of a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto, for the nucleic acid molecule extracted in the step (i), and
step (iii): determining the presence or the absence of a glaucoma risk, based on the allele detected in the step (ii);
[5] use of a nucleic acid molecule for determining a glaucoma risk, wherein the nucleic acid molecule comprises at least one base sequence, the base sequence being a base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto, or a partial sequence thereof, wherein the nucleic acid molecule comprises an allele and/or a genotype of a single nucleotide polymorphism which is located on a 31st base of a base sequence;
[6] a method of diagnosing glaucoma, including the steps of:
detecting in vitro an allele and/or a genotype of a single nucleotide polymorphism which is located on a 31st base of a base sequence, in a sample from a subject, wherein the base sequence is at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto (step E), and
comparing the allele and/or the genotype detected in the step E with at least one of an allele and/or a genotype, containing a high-risk allele, in the base sequences shown in SEQ ID NOs: 203 to 514 (step F),
wherein the subject is diagnosed as glaucoma in a case where the allele detected in the step E is the high-risk allele, or
wherein the subject is diagnosed as glaucoma in a case where the genotype detected in the step E is a homozygote of the genotype containing the high-risk allele or a heterozygote when the high-risk allele complies with a dominant genetic model, or
wherein the subject is diagnosed as glaucoma in a case where the genotype detected in the step E is a homozygote of the genotype containing the high-risk allele when the high-risk allele complies with a recessive genetic model; and
[7] a method of determining an onset risk of glaucoma, including the following steps of:
step (I): determining the presence or the absence of the onset risk of glaucoma, with the method as defined in claim 3,
step (II): determining that a further risk determination is needed, in a case where the presence of the onset risk is determined in the step (I) for any one of single nucleotide polymorphisms, and
step (III): further determining the presence or the absence of the onset risk of glaucoma, with the method as defined in claim 5, in a case of being determined that a further risk determination is needed in the step (II).
According to the method of the present invention, the presence or the absence of the onset risk of glaucoma in a sample donor can be determined, and further the level of the risk can be predicted, by analyzing an allele or a genotype of a single nucleotide polymorphism in the present invention contained in a nucleic acid molecule derived from the genome existing in a sample. A sample donor can be provided with a preventive measure for glaucoma, or can receive appropriate treatments, on the basis of this risk. In addition, according to the method of the present invention, a sample donor who is suspected of glaucoma, having an allele or a genotype containing a single nucleotide polymorphism in the genome that is identified in a high frequency in glaucoma patients, can be given a detailed examination on whether or not the donor is with early glaucoma, which is difficult to be determined sufficiently by an intraocular pressure or an ocular fundus photograph, and can be started with a treatment at an early stage in a case where the donor is diagnosed as glaucoma.
The present invention is a method of determining the presence or the absence of a glaucoma risk, including the step of detecting in vitro an allele and/or a genotype having at least one single nucleotide polymorphism using at least one single nucleotide polymorphism (hereinafter may be referred to as SNP) contained in a base sequence selected from the group consisting of specified base sequences or a complementary sequence thereto, wherein the method of determining the presence or the absence of a glaucoma risk further includes the step of:
comparing the allele and/or the genotype detected in the step with at least one of an allele and/or a genotype, containing a high-risk allele, in the specified base sequences, in a sample from a subject,
wherein the presence of a glaucoma risk is determined in a case where the detected allele is the high-risk allele, or
wherein the presence of a glaucoma risk is determined in a case where the detected genotype is a homozygote of the genotype containing the high-risk allele or a heterozygote when the high-risk allele complies with a dominant genetic model, or
wherein the presence of a glaucoma risk is determined in a case where the detected genotype is a homozygote of the genotype containing the high-risk allele when the high-risk allele complies with a recessive genetic model. A great feature of the present invention resides in that a single nucleotide polymorphism associated with the onset of glaucoma is found, further that in the single nucleotide polymorphism, an allele identified in a high frequency in glaucoma patients and an opposite allele thereof, and a genotype, which is a combination of each of the alleles identified in a high frequency in glaucoma patients are found, and used. The polymorphism as used herein refers to a matter that a diversity is found in sequences of a specified location on the genome in a certain organism species, and a site at which the polymorphism exists (hereinafter also referred to as polymorphic site) refers to a site on the genome that a single nucleotide polymorphism is found.
In addition, the allele as used herein refers to each of types having a different base from each other that can be taken in a certain polymorphic site. The genotype as used herein refers to a combination of opposite alleles in a certain polymorphic site. Further, in a certain polymorphic site, there are three types for a genotype which is a combination of opposite alleles, wherein a combination of the same alleles is referred to as a homozygote, and a combination of different alleles is referred to as a heterozygote.
The opposite allele as used herein refers to another allele corresponding to a specified allele among the alleles constituting a certain single nucleotide polymorphism.
In the present invention, the single nucleotide polymorphism associated with glaucoma refers to a single nucleotide polymorphism associated with the onset of glaucoma or a single nucleotide polymorphism associated with the progression of glaucoma. In other words, the single nucleotide polymorphism associated with the onset of glaucoma refers to a single nucleotide polymorphism in which each allele or each genotype frequency in the single nucleotide polymorphism significantly differs in a statistical analysis at a given p-value between glaucoma patients and non-patients; and the single nucleotide polymorphism associated with the progression of glaucoma refers to a single nucleotide polymorphism in which each allele or each genotype frequency in the single nucleotide polymorphism significantly differs in a statistical analysis at a given p-value between the progressive glaucoma cases and the nonprogressive glaucoma cases.
In the present invention, the high-risk allele refers to an allele having a higher frequency in a glaucoma patient group than that of a non-patient group among each of the alleles of the single nucleotide polymorphism associated with glaucoma. On the other hand, in the present invention, the low-risk allele refers to an allele opposite to the high-risk allele in a certain polymorphic site.
In addition, the homozygote and the heterozygote of a genotype are defined in the same manner as in the high-risk allele and the low-risk allele. In other words, in certain polymorphic sites, a combination of high-risk alleles or low-risk alleles themselves is referred to a homozygote, and a combination of a high-risk allele and a low-risk allele is referred to as a heterozygote.
An embodiment where allele frequencies of the glaucoma patient group and the non-patient group are statistically compared is referred to as an allele model, and an embodiment where genotype frequencies thereof are compared is referred to as a genotype model. There are a dominant genetic model and a recessive genetic model in the genotype models, wherein the former means an embodiment where both a homozygote of high-risk alleles and a heterozygote are involved with the onset risk, and the latter means an embodiment where a homozygote of a high-risk allele is involved with the onset risk.
In the present invention, the glaucoma risk refers to a risk concerning glaucoma. The onset risk of glaucoma refers to a possibility of the future onset of glaucoma determined by susceptibility to a disease. In the present invention, the prediction of a risk refers to a determination of the presence or the absence of a future risk at the present stage, or determining the level of a future risk at the present stage.
Also, the glaucoma as used herein means preferably open-angle glaucoma (OAG) or normal tension glaucoma (NTG), and the open-angle glaucoma, when used without specifying otherwise, means primary open-angle glaucoma (POAG) in a narrow sense, without embracing normal tension glaucoma.
A method of identifying a single nucleotide polymorphism associated with glaucoma will be explained hereinbelow.
In the present invention, in selecting the single nucleotide polymorphism associated with glaucoma, in particular, a candidate single nucleotide polymorphism is selected by the steps including extracting a total DNA from blood of each of glaucoma patients diagnosed as primary open-angle glaucoma or normal tension glaucoma and non-patients diagnosed as not being with glaucoma and determined to have no family history of glaucoma according to a medical interview (also referred to as control individuals), and comparing allele or genotype frequencies of individual single nucleotide polymorphisms in the glaucoma patients and the non-patients using known single nucleotide polymorphisms of about 500,000 on the human genome as an index. Further, the allele or genotype frequencies of individual single nucleotide polymorphisms for the single nucleotide polymorphisms that are selected as candidates are obtained for glaucoma patients and non-patients that are different from the sample groups mentioned above. By combining these results, a single nucleotide polymorphism of which difference in frequencies is recognized with high statistical significance is found. Here, a group composed of the glaucoma patients is referred to as a glaucoma patient group, and a group composed of the non-patients is referred to as a non-patient group. By using the alleles or genotypes having a single nucleotide polymorphism associated with the onset of glaucoma found according to these analyses, the determination of the presence or the absence of the onset risk of glaucoma, and the prediction of the level of an onset risk can be enabled. Although the details will be explained in the section of Examples, a single nucleotide polymorphism associated with glaucoma disclosed in the present invention can be identified according to a method given below.
(Identification of Single Nucleotide Polymorphism Associated with Glaucoma)
First, a total DNA is extracted from blood of each of patients diagnosed as glaucoma and non-patients determined to have no family history of glaucoma. The total DNA in blood can be extracted by any known methods; for example, a DNA can be extracted by binding a DNA eluted by lysing cells to surfaces of magnetic beads coated with silica, and separating and collecting the DNA utilizing a magnetic force.
The kind of a base in a single nucleotide polymorphism in the extracted DNA sample, i.e. an allele having a single nucleotide polymorphism can be identified by any methods, including, for example, a method using an immobilized probe described later, or the like. Upon the identification, a probe used in the detection can be designed on the basis of the sequence information of a single nucleotide polymorphism of interest and surrounding sequences thereof. When the probe is designed, the sequence information obtained from the database for known single nucleotide polymorphisms such as dbSNP can be used as a reference. As to a probe used in the detection of a single nucleotide polymorphism, the detection can be made with either a probe complementary to a sense strand of the genome, or a probe complementary to an antisense strand. Although the details will be described later, a kit in which probes capable of detecting single nucleotide polymorphisms existing on the human genome are immobilized in large amounts, thereby making it possible to determine alleles of numerous single nucleotide polymorphisms in a single operation is commercially available, and whereby an allele in a sample can be efficiently determined using the kit. Many of the kits also have the constitution that the alleles that are opposite to each other contained in one sample are detected in a single operation, so that a genotype can be determined.
The single nucleotide polymorphism associated with glaucoma can be determined by previously identifying an allele existing on DNA from glaucoma patients and non-patients according to the method as mentioned above, statistically comparing each of the allele frequencies and the genotype frequencies in a glaucoma patient group against a non-patient group, and determining whether or not a difference that a p-value is below the significance level as defined by a given standard is caused in at least one of the allele frequencies and the genotype frequencies. In a case where the difference is caused, the allele frequencies or genotype frequencies for these factors in the glaucoma patient group and the non-patient group are compared to determine whether any of the alleles or genotypes are identified in a high frequency in the glaucoma patient group.
In the statistical analysis, for example, a chi-square test can be used. Type I error caused by multiple comparisons can be corrected by a known correction method, for example, Bonferroni method. In a case where a correction is based on Bonferroni correction, for example, a significance level can be obtained by dividing a p-value of 5Γ10β2 by the number of multiple comparisons, i.e. the number of polymorphisms to be compared in the chi-square test. A single nucleotide polymorphism below the significance level determined in the manner described above can be selected as a more preferred single nucleotide polymorphism, and a method used in other known multiple corrections, for example, an FDR method or a permutation method may also be used in the selection of a preferred single nucleotide polymorphism. However, a known multiple correction method such as Bonferroni correction is a method presupposing that the phenomenon of carrying out multiple analyses is completely independent; on the other hand, there are some cases where the phenomenon is not completely independent because linkage disequilibrium is found in a single nucleotide polymorphism as described later. In other words, in the case as mentioned above, it is considered that overcorrection takes place when correction is carried out according to Bonferroni method. Especially, in the analysis of a single nucleotide polymorphism over the whole genome as in the present invention, factors to be statistically compared are highly enormous in number; therefore, a p-value serving as a standard is drastically lowered when multiple corrections are performed, so that a possibility of an oversight of a single nucleotide polymorphism associated with a disease becomes high (Schymick J C et al., Lancet Neurology. 2007: 6: 322-8; Van Steen K et al., Nature Genetics. 2005: 37: 683-691). An academically preferred multiple correction method is not yet established, and as other correction methods, correction by another known correction method can be carried out, or a significance level can be set at any appropriate levels within the range that would not be below the significance level according to the Bonferroni correction. When any appropriate level is set, for example, the significance level in a case where about 500,000 single nucleotide polymorphisms are analyzed repeatedly of 5Γ10β2 is used, more preferably 1Γ10β2, even more preferably 1Γ10β3, even more preferably 1Γ10β4, even more preferably 3Γ10β5, and even more preferably 1Γ10β5. As described later, the adjustment of the significance level as described above is useful from the fact that it is confirmed that a single nucleotide polymorphism identified to be associated with glaucoma in the present invention exists continuously in a certain region on the genome.
In addition, in general, it is known that type I error and the statistical power are inversely proportional. A method of maintaining the statistical power while lowering type I error includes a method of performing a single nucleotide polymorphism analysis in two divided steps (Skol A. D. et al., Nature Genetics. 2006: 38: 209-213). For example, in a case where a single nucleotide polymorphism analysis is carried out for a fixed number of samples, firstly, analysis of enormous single nucleotide polymorphisms over the whole genome for a part of samples thereof is carried out as primary analysis, and secondly, analysis of single nucleotide polymorphisms narrowed down in the first analysis to some degree is carried out for the remainder samples as secondary analysis. In this case, in both of the analyses, a single nucleotide polymorphism may be selected so as to have a relatively low p-value, for example, 0.05; preferably, a single nucleotide polymorphism serving as a candidate in the first analysis may be selected at a given significance level, and the selected single nucleotide polymorphism may be further analyzed using another sample. On the other hand, it is more preferable that the results of the first analysis and the secondary analysis are not individually statistically analyzed but these results are combined and analyzed. In the case as mentioned above, the two analytical results can be combined by a known method of meta-analysis, for example, Mantel-Haenszel method (Mantel N et al., Journal of the National Cancer Institute 1959: 22: 719-748). When the analytical results are combined according to a meta-analysis method such as Mantel-Haenszel method, the significance level for the selection of a single nucleotide polymorphism in individual analysis is not needed to be at the level of Bonferroni correction, and the significance level may be set by taking narrowing-down efficiency or the like into consideration. On the other hand, upon determination of whether or not a single nucleotide polymorphism is significant by a p-value combined by a meta-analysis method such as Mantel-Haenszel method, it is preferable to use a significance level with considering multiple comparisons. Here, the Mantel-Haenszel method refers to a method of combining analytical results by weighting the results obtained by multiple analyses when a chi-square test or the like is carried out. A statistical parameter combined by Mantel-Haenszel method includes, in addition to the p-value, an odds ratio described later or the like.
A single nucleotide polymorphism for the detection of the allele or genotype associated with glaucoma is preferably a single nucleotide polymorphism having a p-value of 1Γ10β3 or less, more preferably a single nucleotide polymorphism having a p-value of 3Γ10β4 or less, even more preferably a single nucleotide polymorphism having a p-value of 1Γ10β4 or less, and even more preferably a single nucleotide polymorphism having a p-value of 3Γ10β5 or less, when the single nucleotide polymorphism for the detection is based on the results obtained in a single analysis using, for example, a microarray in which about 500,000 single nucleotide polymorphisms are detected in a single operation. When the results are obtained by combining multiple analytical results according to a meta-analysis method such as Mantel-Haenszel method, the single nucleotide polymorphism for the detection is preferably a single nucleotide polymorphism having a p-value of 1Γ10β2 or less, more preferably a single nucleotide polymorphism having a p-value of 3Γ10β3 or less, even more preferably a single nucleotide polymorphism having a p-value of 1Γ10β4 or less, and even more preferably a single nucleotide polymorphism having a p-value of 3Γ10β4 or less.
It is preferable that a sufficient number of single nucleotide polymorphisms are analyzed, in order to obtain highly reliable results upon analysis. For example, a polymorphic site having a low determination rate of each single nucleotide polymorphism to the whole sample, i.e. a low call rate, is likely to have a high rate of typing errors, so that the reliability is not high. Therefore, it is preferable that the analysis is performed using a single nucleotide polymorphism having a sufficiently high call rate. As to the call rate that serves as a standard of accepting or rejecting a single nucleotide polymorphism, for example, it is preferable that a single nucleotide polymorphism showing a call rate of preferably 70%, more preferably 75%, even more preferably 80%, even more preferably 85%, and even more preferably 90% or more is employed.
Besides them, factors that can be considered upon analysis are Hardy-Weinberg's equilibrium and minor allele frequency.
The Hardy-Weinberg's equilibrium means that a distribution frequency of the opposite alleles in a certain gene locus is constant even after generations, in a genetically homogeneous population having a sufficient number of individuals formed by panmixia without a mutation or selection pressure. Whether or not the Hardy-Weinberg's equilibrium is established can be confirmed by some known methods, for example, a chi-square test and a direct probability calculation method of Fischer. In a population of a sufficient number, it is considered that the Hardy-Weinberg's equilibrium is established by a single panmixia, i.e. the Hardy-Weinberg's equilibrium is established as long as inbreeding does not exist. Therefore, generally, under the assumption that the Hardy-Weinberg's equilibrium is established in the general population, analysis of the Hardy-Weinberg's equilibrium is used for the purpose of detecting errors of genotype determination of a sample. However, even if the Hardy-Weinberg's equilibrium is established as a whole, when a certain genotype is unevenly distributed in a disease group or a control group in a certain gene locus, for example, there are some cases where a certain genotype has a predominant influence on a disease, or the like; therefore, said analysis can be omitted, in a case where a search for disease-associated genes is carried out.
The minor allele frequency refers to an allele frequency with a lower frequency of the frequencies of two alleles in a case where single nucleotide polymorphisms are contained in two alleles. It is possible that a threshold thereof is arbitrarily set. As mentioned above, it is preferable that a single nucleotide polymorphism having a minor allele frequency of below 1% is rejected, because the concept of a single nucleotide polymorphism is in that the single nucleotide polymorphism has a minor allele frequency exceeding about 1%. On the other hand, there is a possibility that an allele having a very high or very low allele frequency in a disease group has a predominant influence on a disease. It is considered that polymorphisms of which relative involvement to a disease is relatively low are multiply involved in search of polymorphisms causative of multi-factorial diseases; therefore, for the purpose of searching the polymorphisms as mentioned above, an analysis excluding a frequency of a certain level or lower, for example, a minor allele of less than 5% can be a preferred means. On the other hand, in order to search polymorphisms that have predominant influences on a disease, it is effective not to reject the polymorphisms of the minor allele frequency.
From the allele or genotype associated with glaucoma thus obtained, the information such as a location on the genome at which a single nucleotide polymorphism exists, the sequence information, a gene in which a single nucleotide polymorphism exists or a gene existing in the neighborhood, discrimination of intron or exon or a function thereof in a case where the single nucleotide polymorphism exists on the gene, and a homologous gene in other organism species can be obtained, by referring to the database of known sequences such as GenBank, or the database of known single nucleotide polymorphisms such as dbSNP, whereby a nucleic acid molecule used in the present invention is obtained, on the basis of the information, and a probe or the like used in the present invention can be designed.
As the criteria for determining the presence or the absence of a risk in a single nucleotide polymorphism associated with glaucoma determined as mentioned above, a high-risk allele is defined. As mentioned above, in the present invention, the high-risk allele refers to an allele having a higher frequency in a glaucoma patient group than that of a non-patient group among each of the alleles of single nucleotide polymorphisms associated with glaucoma, and in the present invention, the low-risk allele refers to an allele opposite to a high-risk allele in a certain polymorphic site.
The determination of the presence or the absence of an onset risk can be carried out according to an allele or a genotype.
In a case where the determination is carried out according to an allele, the presence of the onset risk is determined for the single nucleotide polymorphism because of having a high-risk allele.
In a case where the determination is carried out according to a genotype, the onset risk is determined by taking into consideration whether the high-risk allele complies with a dominant genetic model, or with a recessive genetic model. In a certain polymorphic site, when the frequency of a homozygote of the high-risk allele and a heterozygote is significantly high in a glaucoma patient group as compared to that of a non-patient group, it is said that these genotypes comply with a dominant genetic model. The presence of an onset risk is determined for the single nucleotide polymorphism in a case where the genotype is a homozygote of the high-risk allele or a heterozygote, when the high-risk allele complies with a dominant genetic model. On the other hand, when the frequency of a homozygote of the high-risk allele is significantly high in a glaucoma patient group as compared to that of a non-patient group, it is said that these genotypes comply with a recessive genetic model. The presence of an onset risk is determined for the single nucleotide polymorphism in a case where the genotype is a homozygote of the high-risk allele, when the high-risk allele complies with a recessive genetic model.
The determination of the presence or the absence of an onset risk can be also carried out according to a low-risk allele. As mentioned above, the low-risk allele is an allele opposite to a high-risk allele, i.e. an allele identified in a high frequency in a non-patient group. In a case where the determination is carried out according to an allele, the presence of an onset risk is determined for the single nucleotide polymorphism because of not having a low-risk allele.
The same applies to a case of a genotype as well. When the determination is carried out according to a genotype, an onset risk is determined by taking into consideration whether the low-risk allele complies with a dominant genetic model, or with a recessive genetic model. In a certain polymorphic site, when the frequency of a homozygote of the low-risk allele and a heterozygote is significantly high in a non-patient group as compared to that of a glaucoma patient group, it is said that these genotypes comply with a dominant genetic model. The presence of an onset risk is determined for the single nucleotide polymorphism in a case where the genotype is not a homozygote of the low-risk allele or a heterozygote, when the low-risk allele complies with a dominant genetic model. On the other hand, when the frequency of a homozygote of the low-risk allele is significantly high in a non-patient group as compared to that of a glaucoma patient group, it is said that these genotypes comply with a recessive genetic model. The presence of an onset risk is determined for the single nucleotide polymorphism in a case where the genotype is not a homozygote of the low-risk allele, when the low-risk allele complies with a recessive genetic model.
As to whether the determination is carried out using a method for any of an allele, a dominant genetic model, and a recessive genetic model, the same method as in a method where a p-value judged to be significant is obtained can be used. In a case where the methods where a p-value judged to be significant is obtained exist in a plurality for one single nucleotide polymorphism, any of these methods may be used, and preferably, the same method as in a method where the lowest p-value is calculated is used.
Generally, in a single nucleotide polymorphism associated with a disease, a relative risk or an odds ratio is used as an index of an extent of the strength of the association that exists between one allele or genotype and the presence or the absence of a disease.
Generally, the relative risk refers to a ratio of an incidence rate in a group with a risk factor to an incidence rate in a group without a risk factor. On the other hand, the odds ratio generally refers to a ratio obtained by dividing odds, which is a ratio of a proportion of individuals with a risk factor to a proportion of individuals without a risk factor in a patient group, by odds obtained in a non-patient group in the same manner, which is in many cases used in a case-control study as in the present invention. The odds ratio in the present invention is determined on the basis of the allele frequency or the genotype frequency. In other words, the odds ratio of a single nucleotide polymorphism associated with the onset refers to a value obtained by calculating a quotient obtained in a ratio of an allele or genotype frequency to another allele or genotype frequency in a glaucoma patient group, over a ratio of frequencies obtained in the same manner in a non-patient group. In the present invention, an extent to which an onset risk of glaucoma increases can be predicted by comparing a case of having a certain allele or genotype to a case of having an allele or genotype other than the above, using these indices. For example, when an odds ratio of a certain allele in a certain single nucleotide polymorphism is greater than 1, the allele is an allele found in a high frequency in a glaucoma patient group, in which the larger the odds ratio, the higher the onset risk of glaucoma for a sample donor having the allele. On the other hand, when an odds ratio of an allele is less than 1, the allele is an opposite allele of the allele that is identified in a high frequency in a disease, in which the smaller the odds ratio, the lower the onset risk of glaucoma for a sample donor having the allele. The risk of a disease can also be predicted in the same manner for a genotype.
In the present invention, the value of the odds ratio would be always greater than 1 by obtaining an odds ratio based on the high-risk allele. The risk prediction in a combination of plural single nucleotide polymorphisms is facilitated by defining so that the odds ratio is greater than 1 when having the high-risk allele as mentioned above.
Although the details are shown by the numerical formulas in the section of Examples, in a case where an odds ratio is obtained for an allele, the odds ratio may be a value obtained by calculating a quotient obtained in a ratio of the high-risk allele frequency to the low-risk allele frequency in a glaucoma patient group, over a ratio of the high-risk allele frequency to the low-risk allele frequency in a non-patient group. In order to obtain an odds ratio in a genotype, the odds ratio is obtained by taking into consideration whether the high-risk allele complies with a dominant genetic model, or with a recessive genetic model. In other words, a homozygote of the high-risk allele and a heterozygote becomes a risk factor when the high-risk allele complies with a dominant genetic model, and a homozygote of the high-risk allele becomes a risk factor when the high-risk allele complies with a recessive genetic model. Therefore, when the high-risk allele complies with a dominant genetic model, the odds ratio may be obtained by obtaining the sum of the homozygote frequency of the high-risk allele and the heterozygote frequency in a glaucoma patient group, and calculating a quotient obtained in a ratio of the above sum to the homozygote frequency of the low-risk allele, over a ratio of frequencies obtained in the same manner in a non-patient group. When the high-risk allele complies with a recessive genetic model, the odds ratio may be obtained by obtaining the sum of the homozygote frequency of the low-risk allele and the heterozygote frequency in a glaucoma patient group, and calculating a quotient obtained in a ratio of the homozygote frequency of the high-risk allele to the above sum, over a ratio of frequencies obtained in the same manner in a non-patient group.
Further, the reliability of a single nucleotide polymorphism used in the prediction of a risk can be confirmed with an odds ratio. As mentioned above, the meaning for the prediction of a risk reverses in a case where the odds ratio is 1 or more and a case where the odds ratio is 1 or less. Therefore, in a case where a calculated 95% confidence interval of the odds ratio includes 1, it cannot be said that the reliability for the prediction of a risk for the odds ratio as mentioned above would be high.
In addition, in a case where an onset risk of glaucoma is predicted by a combination of single nucleotide polymorphisms of the present invention, the level of the risk can be predicted by using the level of the odds ratio.
In the odds ratio according to an allele, the odds ratio of combined two or more single nucleotide polymorphisms can be calculated according to the following formula:
(RA1combRA2comb)/(RA3combRA4comb)
wherein
RA1comb: an allele frequency in a case where at least one allele is a high-risk allele in a glaucoma patient group;
RA2comb: an allele frequency in a case where all the alleles are low-risk alleles in the glaucoma patient group;
RA3comb: an allele frequency corresponding to RA1comb in a non-patient group; and
RA4comb: an allele frequency in a case where all the alleles are low-risk alleles in the non-patient group.
For example, in a case where two single nucleotide polymorphisms associated with the onset risk of glaucoma are combined, an odds is determined by dividing the frequencies in a glaucoma patient group all having high-risk alleles of a single nucleotide polymorphism, or having any one of high-risk alleles, by the frequency in the glaucoma patient group not having any one of high-risk alleles. The odds ratio in a case of a combination of the single nucleotide polymorphisms can be determined by calculating a ratio of said odds to the odds of that in a non-patient group obtained in the same manner.
In order to obtain an odds ratio according to a combination in cases of genotypes, the odds ratio is obtained by taking into consideration whether the high-risk allele complies with a dominant genetic model, or with a recessive genetic model, in the same manner as that alone.
In the odds ratio according to a dominant genetic model, the odds ratio of combined two or more single nucleotide polymorphisms can be calculated according to the following formula:
(RGd1combRGd2comb)/(RGd3combRGd4comb)
wherein
RGd 1comb: a frequency at which at least one genotype is a homozygote of a high-risk allele or a heterozygote, in a glaucoma patient group;
RGd2comb: a frequency at which all the genotypes are homozygotes of a low-risk allele in the glaucoma patient group;
RGd3comb: a frequency of the genotype corresponding to RGd1comb in a non-patient group; and
RGd4comb: a frequency at which all the genotypes are homozygotes of a low-risk allele in the non-patient group.
For example, in a case where both the high-risk alleles of the two single nucleotide polymorphisms comply with a dominant genetic model, the odds ratio may be obtained by calculating a quotient obtained in a ratio of the frequency at which any of the two single nucleotide polymorphisms are a homozygote of a high-risk allele or a heterozygote in a glaucoma patient group to the frequency at which both the two single nucleotide polymorphisms are a homozygote of a low-risk allele in the glaucoma patient group, over a ratio of frequencies of those obtained in the same manner in a non-patient group.
In the odds ratio according to a recessive genetic model, the odds ratio of combined two or more single nucleotide polymorphisms can be calculated according to the following formula:
(RGr1combRGr2comb)/(RGr3combRGr4comb)
wherein
RGr1comb: a frequency at which at least one genotype is a homozygote of a high-risk allele, in a glaucoma patient group;
RGr2comb: a frequency at which all the genotypes are homozygotes of a low-risk allele in the glaucoma patient group;
RGr3comb: a frequency of the genotype corresponding to RGr1comb in a non-patient group; and
RGr4comb: a frequency at which all the genotypes are homozygotes of a low-risk allele in the non-patient group.
For example, in a case where both the high-risk alleles of the two single nucleotide polymorphisms comply with a recessive genetic model, the odds ratio may be obtained by calculating a quotient obtained in a ratio of the frequency at which any of the two single nucleotide polymorphisms are a homozygote of a high-risk allele in a glaucoma patient group to the frequency at which both the two single nucleotide polymorphisms are a homozygote of a low-risk allele in the glaucoma patient group, over a ratio of frequencies of those obtained in the same manner in a non-patient group. Here, the odds ratio for a combination of single nucleotide polymorphisms can also be calculated by combining single nucleotide polymorphisms having different genetic forms.
Generally, the odds ratio increases by combining two or more single nucleotide polymorphisms, as compared to a case where these single nucleotide polymorphisms are used alone. Therefore, by a combination of two or more single nucleotide polymorphisms, a sample donor with a higher onset risk of glaucoma would be identified, whereby the improvement in the precision of the prediction can be made possible, as compared to the case where a single nucleotide polymorphism is used alone.
In order to confirm the improvement of the precision of the prediction of an onset risk of glaucoma according to a combination of single nucleotide polymorphisms in the present invention, a multivariate analysis can be employed. As the multivariate analysis method, a method well known to one of ordinary skill in the art such as logistic regression analysis method, discriminant analysis method, multiple linear regression analysis method, or proportional hazard analysis method can be employed, among which the logistic regression analysis method is effective in a case where a dichotomous variable such as the presence or the absence of an onset risk of glaucoma is handled.
The logistic regression analysis method refers to a method of analyzing a degree to which multiple independent variables (U) contribute in order to describe a single dependent variable (Ξ¦) (Wakariyasui Igaku Tokeigaku (Easy Medical Statistics), pp. 148-179, Toshio MORIZANE, Medical Tribune). By performing the logistic regression analysis, a regression coefficient (Ξ») for each independent variable can be obtained, and this regression coefficient can be utilized as an index showing a degree to which each independent variable describes a dependent variable. In addition, a dependent variable on each obtained independent variable can be calculated by substituting this regression coefficient into the following formula:
Ξ¦=1/{1+exp[β(Ξ»0+Ξ»1Ξ 1+Ξ»2Ξ 2+Ξ»3Ξ 3+ . . . )]}
Here, when the logistic regression analysis is performed, the independent variables U used in analysis can be previously narrowed down using a stepwise method or the like. The stepwise method refers to a method for selecting independent variables Ξ so as to maximize the regression coefficients by adding an optional independent variable Ξ . In other words, it means that after the regression coefficient is maximized by adding an arbitrary independent variable Ξ , the same outcome is obtained even if another independent variable Ξ is further added.
In the present invention, by combining any two or more single nucleotide polymorphisms determined to be involved in the onset of glaucoma, the extent to which the precision of the prediction of an onset risk is improved can be known, as compared to that where each of the single nucleotide polymorphisms is used alone. Concretely, the above formula is obtained according to logistic regression analysis by using each of any two or more single nucleotide polymorphisms as an independent variable Ξ (homozygote of one allele=0, heterozygote=1, homozygote of an opposite allele=2). In each sample, a dependent variable Ξ¦ is calculated by substituting a variable for each single nucleotide polymorphism into this formula. When a dependent variable Ξ¦ is greater than a given threshold (for example, 0.5), this sample donor is determined to be a glaucoma patient. The determination results are collated with the matter of whether the sample donor having a single nucleotide polymorphism was actually the glaucoma patient. According to the combination of the two or more single nucleotide polymorphisms in the present invention, an improvement in a concordance proportion is confirmed, whereby the precision improvement by the combination can be confirmed.
In addition, the single nucleotide polymorphisms which exist in genetically sufficiently close locations to each other are inherited in linkage, not inherited independently, in some cases. In a certain population, a state in which a linkage as described above is held regardless of occurrence of a recombination by mating is referred to as a linkage disequilibrium, and a unit holding the linkage is referred to a haplotype block or an LD block.
In the experiment results by the present inventors, it is found that a single nucleotide polymorphism associated with glaucoma actually may exist in clusters in a relatively closely on the genome in some cases. It is considered that these regions belong to an LD block associated with glaucoma. In order to determine an LD block associated with glaucoma, the LD block can be determined by analyzing single nucleotide polymorphisms which exist in the region as many as possible by the method mentioned above, and applying an algorithm to determine an LD block, for example, an EM algorithm. In addition, when the single nucleotide polymorphism associated with glaucoma in the present invention belongs to a known LD block, the LD block can be considered as an LD block associated with glaucoma. Genome Browser provided on the interne web sites by California University at Santa Cruz, or the like can be consulted for a known LD block.
Because a single nucleotide polymorphism that belongs to an LD block associated with glaucoma is linked to a single nucleotide polymorphism associated with glaucoma identified according to the experiments of the present inventors, it can be considered that the single nucleotide polymorphism that belongs to an LD block associated with glaucoma also associates with glaucoma in the same manner; therefore, the single nucleotide polymorphism is used in the prediction of an onset risk or progressive risk of glaucoma. In addition, by re-determining a sequence within the LD block associated with glaucoma, or a sequence surrounding the single nucleotide polymorphism associated with glaucoma that is identified according to the experiments by the present inventors, there is a possibility that an unknown single nucleotide polymorphism which is linked with the single nucleotide polymorphism, in other words, which is associated with the onset of glaucoma or the progression thereof, is found. Whether or not the found single nucleotide polymorphism is actually associated with the onset of glaucoma or the progress thereof can be determined by comparing an allele or genotype frequency of a disease group with that of a control group in the same manner as explained above.
In the present invention, an intronic single nucleotide polymorphism (iSNP) refers to one in which a single nucleotide polymorphism is identified in intron. A coding single nucleotide polymorphism (cSNP) refers to one that is accompanied by a change in an amino acid sequence, such as a codon in which the single nucleotide polymorphism is mutated to a codon encoding other amino acids or a termination codon, among those in which single nucleotide polymorphisms exist in regions translated in a protein. A silent single nucleotide polymorphism (sSNP) refers to one without accompanying a change in an amino acid sequence, among those in which a single nucleotide polymorphism is identified in a coding region. A genomic single nucleotide polymorphism (gSNP) refers to one in which a single nucleotide polymorphism exists in a region not encoding the gene on the genome. A regulatory polymorphism (rSNP) refers to a single nucleotide polymorphism existing in a site that is thought to be involved in the transcriptional regulation.
As described above, a single nucleotide polymorphism may exist in any location on the genome, any cases of which can be associated with a disease. In a case where a single nucleotide polymorphism exists in the intron or a non-coding region, there may be some cases where the single nucleotide polymorphism may influence a gene expression control, or splicing that takes place after the gene transcription or stability of mRNA. In a case where a single nucleotide polymorphism exists in the coding region, by substitution of its base, a codon corresponding to a certain amino acid may be changed to a codon corresponding to a different amino acid, or may undergo a change, for example, a change to a termination codon, or the like, which may lead to a change in the structure of a protein encoded thereby. Changes in expression levels or functions of genes by these changes consequently lead to changes in expression levels or functions of proteins encoded by the genes, which can be causes for various diseases. In a case where the genomic single nucleotide polymorphism is associated with a disease, there is a possibility that a region including the polymorphic site is actually translated, and influences in some way to other gene expressions. In a case where a silent single nucleotide polymorphism is associated with a disease, it is considered that a different polymorphism associating with the disease exists in the surrounding of the single nucleotide polymorphism, and the polymorphism and the silent single nucleotide polymorphism are linked, so that the association with the disease is found. Similarly, in a single nucleotide polymorphism other than the silent single nucleotide polymorphism, even when the single nucleotide polymorphism itself is not a direct cause for glaucoma but links to a polymorphism which is the true cause for glaucoma existing in the surrounding, the association of these single nucleotide polymorphisms and glaucoma may be found in some cases. In the case as described above, as described later, a polymorphism which is causative of glaucoma can be found by re-sequencing the surrounding of the single nucleotide polymorphism in the present invention. However, in any case, these single nucleotide polymorphisms can be also used for the purpose of predicting an onset risk of glaucoma, regardless of whether or not these would be the true causes for the disease.
(Nucleic Acid Molecule Comprising Allele Associated with Glaucoma)
In an embodiment of the present invention, there are provided a nucleic acid molecule comprising a single nucleotide polymorphism associated with glaucoma, and a nucleic acid molecule having a sequence complementary to the nucleic acid molecule comprising a single nucleotide polymorphism associated with glaucoma.
The nucleic acid molecule comprising a single nucleotide polymorphism associated with glaucoma or the nucleic acid molecule having a sequence complementary to the nucleic acid molecule can be used as a marker for determining the level of the onset risk of glaucoma. Further, these nucleic acid molecules can be used as a probe for detecting an allele or an opposite allele thereof identified in a high frequency in glaucoma patients, or determining a genotype, in the single nucleotide polymorphism. In addition, in a case where the single nucleotide polymorphism exists on exon or in the neighborhood thereof, these nucleic acid molecules can be used in the detection of transcripts of genes.
The nucleic acid molecule constituting the genome of an eukaryote is constituted by double strands of a sense strand and an antisense strand complementary to the sense strand. In other words, the single nucleotide polymorphism also exists on the sense strand and the antisense strand, and the nucleic acid molecule of the present invention embraces both of these strands because the detection of a single nucleotide polymorphism of both the strands is equally significant.
Nucleic acid molecules comprising any one of single nucleotide polymorphisms listed in Tables 1 and 2, Tables 5 to 25, Tables 26 to 28 and Tables 29 to 51 shown later, nucleic acid molecules comprising any single nucleotide polymorphisms existing in a region or on a gene determined by the linkage disequilibrium data or the like listed in Tables 3 and 4 shown later, and nucleic acid molecules complementary to these nucleic acid molecules are all embraced in the nucleic acid molecule of the present invention.
In an embodiment of the present invention, the nucleic acid molecule of the present invention is preferably nucleic acid molecules comprising a single nucleotide polymorphism listed in Tables 1 and 2, Tables 26 to 28 or Tables 52 to 62 shown later, or nucleic acid molecules complementary thereto, wherein
in a case where the single nucleotide polymorphism is gSNP, the nucleic acid molecule is a nucleic acid molecule comprising a sequence from a next base of a known single nucleotide polymorphism on an upstream side of the sense strand to a base before a known single nucleotide polymorphism on a downstream side, or a nucleic acid molecule comprising a sequence complementary thereto,
in a case where the single nucleotide polymorphism is iSNP, sSNP or cSNP, the nucleic acid molecule is a nucleic acid molecule comprising a full length of the gene on the genome including the single nucleotide polymorphism, a nucleic acid molecule comprising a sequence complementary thereto, and a nucleic acid molecule containing a complementary DNA (cDNA) molecule comprising the single nucleotide polymorphism or a sequence complementary thereto,
in a case where the single nucleotide polymorphism is rSNP, the nucleic acid molecule is a nucleic acid molecule comprising a sequence from a next base of a known single nucleotide polymorphism on an upstream side of the sense strand to a full length of the gene existing downstream of a promoter region in which the single nucleotide polymorphism exists, or a nucleic acid molecule comprising a sequence complementary thereto.
The nucleic acid molecule in the present invention is not limited whether it is a deoxyribonucleic acid, a ribonucleic acid, or a peptide nucleic acid, and a nucleic acid molecule comprising a mixed sequence thereof is also embraced in the present invention. In a case where a ribonucleic acid is used in the nucleic acid molecule in the present invention, in the sequence of the nucleic acid molecule in the present invention (including a sequence complementary thereto), thymine may be read as uracil. In addition, these nucleic acid molecules may be subjected to chemical modifications as occasion demands, within the range that would not impair a function to be used in the present invention. In this case, the function refers to a function of accomplishing the purpose of using the nucleic acid molecule.
The nucleic acid molecule in the present invention can be synthesized by a known method, for example, a phosphoramidite method, on the basis of the sequence information disclosed herein, or the sequence information obtained by searching the information disclosed herein with the database. The nucleic acid molecule can be synthesized using a commercially available DNA synthesizer. In addition, the nucleic acid molecule in the present invention can be obtained from a sample comprising DNA from human according to a known method such as a PCR method, or in some nucleic acid molecules, can be obtained from a sample containing RNA from human according to a known method such as an RT-PCR method. As to primers that are necessary for the obtainment, one of ordinary skill in the art can design the primers on the basis of the sequence information disclosed herein, or the sequence information that can be searched from ID of the database disclosed herein. For example, in a case where a PCR method is used, primers having about 10 to about 30 bases that have sequences homologous to a part of the sequences of the nucleic acid molecule of interest can be used, and in a case where an RT-PCR method is used, the nucleic acid molecule can be obtained by carrying out reverse transcription reaction using an oligo dT primer, or a random hexamer, or the like to prepare cDNA, and amplifying a sequence of interest in the cDNA by the PCR method mentioned above.
The nucleic acid molecule has a length of preferably from 16 to 55 bases, and more preferably from 23 to 27 bases or 47 to 53 bases. It is preferable that the nucleic acid molecule is a nucleic acid molecule containing the polymorphic site mentioned above and a surrounding sequence thereof, or a sequence complementary thereto.
When a nucleic acid molecule comprising a single nucleotide polymorphism associated with the onset of glaucoma is selected, in a case where the nucleic acid molecule is selected based on the results obtained in a single analysis using a microarray in which, for example, 500,000 nucleic acid molecules are detected in a single operation, the nucleic acid molecule in the present invention is preferably a nucleic acid molecule having a p-value of 1Γ10β3 or less, more preferably a nucleic acid molecule having a p-value of 3Γ10β4 or less, even more preferably a nucleic acid molecule having a p-value of 1Γ10β4 or less, and even more preferably a nucleic acid molecule having a p-value of 3Γ10β5 or less. In a case where plural analytic results are combined and obtained according to a method of meta-analysis, such as Mantel-Haenszel method, the nucleic acid molecule is preferably a nucleic acid molecule having a p-value of 1Γ10β2 or less, more preferably a nucleic acid molecule having a p-value of 3Γ10β3 or less, even more preferably a nucleic acid molecule having a p-value of 1Γ10β3 or less, even more preferably a nucleic acid molecule having a p-value of 3Γ104 or less, and even more preferably a nucleic acid molecule having a p-value of 1Γ10β4 or less.
As a different means of selecting a preferred nucleic acid molecule, a significance level is set according to a known multiple correction method, whereby a preferred nucleic acid molecule can be selected. In a case where a correction is based on Bonferroni correction, for example, a significance level can be obtained by dividing a p-value of 5Γ10β2 by the number of multiple comparisons, i.e. the number of polymorphisms to be compared in the chi-square test. A nucleic acid molecule having a single nucleotide polymorphism below the significance level thus obtained may be selected as a more preferred nucleic acid molecule. Upon the selection, Bonferroni correction may be performed using a p-value that is combined according to a method of meta-analysis, such as Mantel-Haenszel method, and the number of single nucleotide polymorphisms to be subject for the meta-analysis. Other known methods used in multiple corrections, for example, an FDR method or a permutation method may be used in the selection of a preferred nucleic acid molecule.
(Method of Detecting Single Nucleotide Polymorphism Associated with Glaucoma and Method of Predicting Onset Risk of Glaucoma)
Another embodiment of the present invention provides a method of detecting the presence or absence of an allele or genotype having a high frequency in glaucoma patients in a sample containing a nucleic acid molecule from the genome. The samples may be any ones so long as the nucleic acid molecules from the genome can be extracted, and for example, blood, white blood cells, hair root, hair, saliva, oral mucosa cells, skin, tissues such as muscles or organs obtained by biopsy, or the like can be used.
As mentioned above, the nucleic acid molecule constituting the genome of an eukaryote is constituted by a sense strand and an antisense strand that are complementary to each other, and the determination of the allele of the single nucleotide polymorphism in the present invention can also be performed by detecting any one of the bases of the sense strand and the antisense strand of the polymorphic site.
As mentioned above, in the method of determining the presence or the absence of the allele or genotype in a sample containing a nucleic acid molecule, any means can be used. For example, hybridization is carried out using a probe specific to each of the alleles, preferably a probe in the present invention described later, which is designed based on the sequence information disclosed in the present invention, and each of the alleles can be detected by detecting signals therefor. In addition, each of the alleles opposite to each other, in other words, an allele having a high association to a disease for a certain single nucleotide polymorphism and an allele having a low association thereto are each provided with different labels, and a probe capable of hybridizing these alleles to a polymorphic site, or an immobilized probe such as a microarray in which each of alleles opposite to each other is immobilized is used, whereby each of the alleles opposite to each other contained in the same sample can be detected. In the constitution as described above, not only the alleles of the sample, but also the genotypes can be determined. In addition, in a case where an immobilized probe such as a microarray in which each of the alleles opposite to each other is immobilized on the same carrier is used, a constitution that the hybridization is carried out in a single operation, and that the detection is carried out in a single operation can be also taken.
As another method of detecting a single nucleotide polymorphism in the present invention, the following method can be utilized. Examples of a method of hybridization using a probe are Taqman method, Invader (registered trademark) method, LightCycler method, cyclin probe method, MPSS method, beads-array method, and the like, and any of these methods can be employed. As to the probe for detecting the same allele, a more preferred probe may differ in some cases depending upon a method used in the detection. The determination of the allele or genotype of the single nucleotide polymorphism in the present invention does not depend upon the detection method, and it is preferable to use a suitable probe depending upon the detection method.
The Taqman method is a method of detecting a genetic polymorphism using an oligoprobe having a given length in which a fluorescent substance is bound to a 5β²-side, and a quencher is bound to a 3β²-side. The presence or absence of the polymorphism is determined by hybridizing a probe to a nucleic acid molecule having a polymorphism of interest, cutting off a part of the probe on the 5β²-side by a PCR reaction, and measuring a fluorescent amount emitted by a fluorescent substance.
The Invader method is a method of detecting a genetic polymorphism using a probe (reporter) which has a sequence common to a 3β²-side of a nucleic acid molecule having a polymorphism, but the sequence on a 5β²-side being completely different therefrom, and a probe (invader) having only a sequence common to a 5β²-side. The nucleic acid molecules of interest and these two probes are hybridized, a product is then treated with a nuclease, a part of the cut-out reporter probe is hybridized with a probe for detection having a fluorescent substance and a quencher, a hybridization product is treated with a nuclease, and the fluorescent substance is released, whereby the presence or absence of the polymorphism is determined by a fluorescent amount thereof.
The LightCycler method is a method of detecting a polymorphism including the step of hybridizing a polymorphic detection probe having a fluorescent substance and an anchor probe having a quencher, to a nucleic acid molecule having a polymorphism previously amplified by PCR. If the hybridized DNA is gradually heated, the polymorphic detection probe is released when a given temperature is reached, and the presence or absence of the polymorphism is determined by measuring this fluorescent amount.
The cyclin probe method is a polymorphic analysis method utilizing a probe having a fluorescent substance or a quencher on each end of a DNA (DRD probe), wherein DNA sequences are bound in a manner that both ends of an RNA sequence having a sequence complementary to a polymorphic site of a nucleic acid molecule of interest are sandwiched. A DRD probe is hybridized to a nucleic acid molecule of interest previously amplified by PCR or the like, RNase is allowed to act on this complex, and a fluorescent dye is released, whereby the presence or absence of the polymorphism is determined by measuring this fluorescent amount.
The MPSS method is a method of performing polymorphic analysis using an encoded adaptor probe and a decoder probe. The encoded adaptor probe is an oligo DNA having a 4-bases long protruding end on a 5β²-side, subsequently a recognition sequence for a restriction enzyme BbvI, and a single-stranded sequence bound to a decoder probe on a 3β²-side. On the other hand, the decoder probe is a single-stranded oligo DNA having a fluorescent substance on a 3β²-side, and the decoder probe containing 4 different sequences, each sequence specifically hybridizing to a single encoded adaptor probe. The nucleic acid molecule having a polymorphism is previously immobilized on beads, and an initiation adaptor containing a recognition sequence for BbvI is bound thereto, to digest with BbvI to form a 4-bases long protruding end. The ligation with the encoded adaptor probe is carried out sequentially from a 3β²-side of the protruding 4 bases, and the sequence of the bound encoded adaptor is detected with a specified decoder probe.
The beads array method is a method of performing the determination of a genotype including the step of combining beads to which a probe for allele detection and an oligonucleotide (address sequence) specifying the location information on the array of signals detected by the probe for allele detection are bound. For example, there are Golden Gate Assay using beads immobilized with only an address sequence (23 bases) of Illumina, and Infinium (registered trademark) Assay using beads in which probes (50 bases) for allele detection are bound to an address sequence (30 bases). In both the methods, which location on an array the probes for allele detection are bound can be known for each of the beads arranged arbitrarily on the array, on the basis of the address sequence.
The method of the Golden Gate Assay will be shown hereinbelow. In the detection of a single nucleotide polymorphism, two kinds of probes (allele-specific probes) specifically hybridizing to each allele, and a probe capable of specifically hybridizing to a sequence located 1 to 20 bases downstream on the 3β²-side of the single nucleotide polymorphism (downstream sequence recognition probe) are used. In the downstream sequence recognition probe, an address sequence for specifying the location on the array is provided. In addition, these three probes contain a sequence to which universal primers described later are bound. The three probes are annealed with a genomic DNA, and a DNA polymerase and a ligase are added thereto. By carrying out an extension reaction and a ligation reaction, an allele-specific product ligating a gap between the allele-specific probe and the downstream sequence recognition probe is formed. A reaction for PCR is carried out with this allele-specific product as a template using two kinds of fluorescent-labeled universal primers, each being specific to each allele, and a universal primer bound to the downstream sequence recognition probe. A labeled PCR product is hybridized to an oligonucleotide immobilized on beads via an address sequence. The fluorescence on the beads is detected with a confocal laser scanner, thereby determining an allele and a genotype.
The method of the Infinium Assay will be shown hereinbelow. An array by Illumina [Illumina, iSelectβ’ Genotyping BeadChip] described later is in accordance with this method. There are two methods in the detection of an allele by this array. In one method, two kinds of probes (probes for allele detection of 50 bases long, Infinium I type) only differing by a base at a 3β²-end, wherein the 3β²-end is a site for detecting a single nucleotide polymorphism, are used. Whole genome amplification for a genomic DNA is previously carried out, and fragmentation with an enzyme is carried out. The probe and the fragmented genomic DNA are hybridized, and thereafter an allele-specific extension reaction takes place, whereby a base on the downstream (3β²-side) by a single base of a polymorphic site labeled with a single kind of a fluorescent dye is incorporated corresponding to the probe. In another method, one kind of probe without having an allele-specific sequence of a single nucleotide polymorphism in the probe is used (probe for allele detection of 50 bases, Infinium II type). A 3β²-end of this probe has a sequence up to a single base upstream (5β²-side) from a polymorphic site. The probe and the fragmented genomic DNA are hybridized, and according to a single base extension reaction, a base labeled with either one of two kinds of fluorescent dyes is incorporated corresponding to a single nucleotide polymorphic site of interest. In both the methods, the fluorescence is detected by a confocal laser scanner, thereby determining an allele and a genotype.
Here, the details of properties for length, modification and the like of probes used in the hybridization method mentioned above will be described later.
In addition, a method without carrying out hybridization with a probe includes PCR-RFLP method, SSCP method, mass spectrometry and direct sequencing method.
The PCR-RFLP method is a method including the steps of forming different DNA fragments according to enzymatic digestion of a nucleic acid molecule having a polymorphism due to the existence of a polymorphism in a cleavage site of the restriction enzyme in the nucleic acid molecule, and determining the presence or absence of a polymorphism from a difference in electrophoretic patterns thereof. A nucleic acid molecule of interest is amplified by PCR, this amplified fragment is cleaved with a restriction enzyme, and a fragment formed electrophoretically is analyzed. The length of the nucleic acid molecule comprising an amplified polymorphism is usually from 50 to 10,000 base pairs, and more preferably from 100 to 1,000 base pairs.
The SSCP method is a method including the steps of amplifying a nucleic acid molecule having a polymorphism by PCR, forming a single-stranded DNA, electrophoresing the product, and determining the presence or absence of a polymorphism from a difference in the electrophoretic patterns thereof. The nucleic acid molecule of interest is amplified by PCR, and a single-stranded DNA is formed by subjecting this amplified fragment to heat or an alkali treatment. This single-stranded DNA forms a base sequence-specific higher-order structure; therefore, if these amplified fragments are electrophoresed, a difference in the electrophoretic mobility is found due to the difference in its structure. The primer used in PCR is labeled with a radioisotope or fluorescent substance. In addition, the length of the nucleic acid molecule comprising an amplified polymorphism is usually from 50 to 10,000 base pairs, and more preferably from 100 to 1,000 base pairs.
The mass spectrometry is a method including the steps of ionizing a polymer with a matrix and a laser or the like, accelerating the ionized polymer in a high electric field to allow a flight to a detector, and identifying mass from a difference in the flight time, or the like. This mass spectrometry is combined with the above primer extension method or the like to detect a polymorphism. Concretely, a single base extension reaction is carried out with a primer complementary to a sequence up to a single base upstream of a polymorphic site of a nucleic acid molecule having a polymorphism, any one of 4 kinds of dideoxyribonucleotides, and deoxyribonucleic acids other than those corresponding the above, and a difference in mass of nucleic acid products having different sequences incorporated in a 3β²-end is determined, whereby a polymorphism can be identified.
The direct sequencing method is a method of directly reading off a base sequence of a nucleic acid molecule having a polymorphism. Representative methods are called Sanger method (dideoxy method). A primer that is unlabeled or labeled with a radioisotope or a fluorescent substance is bound to a nucleic acid molecule of interest, an extension reaction with Klenow enzyme or the like is stopped with four kinds of dideoxyribonucleotides that are unlabeled or labeled with a radioisotope or a fluorescent substance, the product is digested with a restriction enzyme, and a DNA fragment generated is separated by electrophoresis. The base sequence of a 3β²-end is read off in the order of fragments having a lower molecular weight on the basis of an electrophoretic image, thereby a base sequence containing a few bases before and after a polymorphism is determined. As a modified method thereof, there is a method called a primer extension method. This is a method including the steps of carrying out a single base extension reaction using a primer complementary to a sequence up to a single base upstream of a polymorphic site of a nucleic acid molecule having a polymorphism, and reading off any one of the sequences of the 4 kinds of dideoxyribonucleotides incorporated in the 3-end. There are various methods in the identification of this dideoxyribonucleotides; for example, 4 kinds of nucleotides are labeled with different fluorescent substances, and separated and identified electrophoretically. In addition, a method of converting pyrophosphoric acid formed during an extension reaction to ATP, and identifying its ATP from luminescence of luciferase is also employed. The length of the primer used in the extension reaction is usually from 10 to 300 base pairs, and preferably from 15 to 25 base pairs.
In the present invention, the hybridization means that a nucleic acid molecule having a certain sequence is associated with a nucleic acid molecule complementary to at least a part of the nucleic acid molecule via a hydrogen bond on the basis of base sequences that are complementary to each other. The kind of the complementary nucleic acid molecule associated with the original nucleic acid molecule may be identical or different, and a nucleic acid constituting these nucleic acid molecules can be a deoxyribonucleic acid, a ribonucleic acid, or a peptide nucleic acid. In these nucleic acid molecules, when referred to the ribonucleic acid, in the sequence of the nucleic acid molecule (including a complementary sequence), thymine may be read as uracil.
The stringent conditions in the present invention mean conditions in which a nucleic acid molecule having a sequence complementary to a partial sequence of a nucleic acid molecule having a certain sequence is specifically hybridized to the nucleic acid molecule (Fred M. Ausuble et al., Current Protocols in Molecular Biology, 2.10.1-2.10.16, John Wiley and Sons, Inc). Concrete examples of the conditions as described above include conditions such as a temperature lower than a melting temperature (Tm) of a complex formed between a nucleic acid molecule having a certain sequence and a complementary nucleic acid molecule hybridized to the nucleic acid molecule by preferably from about 5Β° to about 30Β° C., and by more preferably about 10Β° to about 25Β° C., a reaction solution for hybridization, such as SSC (mixed solution of sodium chloride and sodium citrate) in a concentration of 0.01 to 6-folds, SSPE (mixed solution of sodium chloride, sodium dihydrogenphosphate, and EDTA) or MES (a mixed solution of 2-(N-morpholino)ethanesulfonic acid and tetramethylammonium chloride) buffer, and hydrogen ion concentrations of a pH of from 6 to 8. For example, the stringent conditions in a case where an immobilized probe is prepared by immobilizing a 25 by DNA probe include conditions of hybridization at 49Β° C. in the MES buffer (hydrogen ion concentrations being from 6.5 to 6.7) in a 1-fold concentration, and sequentially washing with SSC (hydrogen ion concentrations being 8.0) in a 6-fold concentration at 25Β° C., and thereafter SSC (hydrogen ion concentrations being 8.0) in a 0.6-fold concentration at 45Β° C.
In the present invention, the term allele-specific (or specific to allele) means that the allele is contained in a sequence from the genome including the polymorphic site or in a prepared nucleic acid molecule including the polymorphic site, or a certain nucleic acid molecule is capable of specifically hybridizing under stringent conditions to a nucleic acid molecule having a sequence containing the allele in the polymorphic site, in other words, in the manner of being capable of discriminating the allele and the opposite allele.
Base sequences of 61 bases in length including a single nucleotide polymorphism associated with the onset of glaucoma, disclosed in the present invention, are composed of two pairs of base sequences which differ only by a base in the center (i.e. 31st base) (i.e. those pairs are consisting of a sequence having odd number of SEQ ID No. and a sequence having even number of SEQ ID No.), and the 31st base is a polymorphic site. The high-risk alleles in the polymorphic sites are listed in Tables 1 and 2 or Tables 52 to 63 given later. In any of these single nucleotide polymorphisms, in a case where the existence of an allele that exists in a high frequency in glaucoma patients is determined, a high-risk allele in a sample is detected, whereby the existence of the allele that exists in a high frequency in glaucoma patients can be determined.
In addition, as to any single nucleotide polymorphisms associated with the onset of glaucoma identified above, the genotype can be determined by detecting the presence or the absence of each of the alleles opposite to each other contained in one sample. In detail, in a case where only a certain allele is detected, the genotype is a homozygote of the allele, and in a case where two alleles are detected, the genotype is a heterozygote having the two alleles. In at least one of these single nucleotide polymorphisms, by detecting a genotype, it is determined whether or not the genotype that is identified in a higher frequency in a glaucoma patient group than that of a non-patient group exists in a sample. In other words, in the single nucleotide polymorphism mentioned above, when the high-risk allele complies with a dominant genetic model, a homozygote of the high-risk allele or a heterozygote is a genotype that is identified in a higher frequency in a glaucoma patient group than that of a non-patient group, and when the high-risk allele complies with a recessive genetic model, a homozygote of the high-risk allele is a genotype that is identified in a higher frequency in a glaucoma patient group than that of a non-patient group. It is preferable that each of the opposite alleles is measured in a single operation, from the viewpoint of reducing judgmental error.
The sample is analyzed in the manner described above, and in a case where the allele or genotype that is identified in a higher frequency in a glaucoma patient group than that of a non-patient group exists in the sample, there are some high probabilities that an individual donating the sample not having glaucoma at the present point is predicted to have a high onset risk of glaucoma, or is determined that a precision examination for glaucoma such as visual field examination is necessary, and that an individual donating the sample who is suspected of having glaucoma should be diagnosed as glaucoma.
In the method of detecting a single nucleotide polymorphism associated with glaucoma and the method of predicting an onset risk of glaucoma in the present invention, the single nucleotide polymorphism used in the detection is a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto,
more preferably a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 238 or a complementary sequence thereto,
even more preferably a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from the group consisting of pairs of base sequences containing a single nucleotide polymorphism listed below or a complementary sequence thereto,
wherein, as mentioned above, in the pairs of SEQ ID NOs: shown in a to r, each of the pairs of sequences corresponds to one single nucleotide polymorphism, and each of the base sequences is a base sequence containing an allele opposite to each other of the single nucleotide polymorphism in a 31st base:
a: SEQ ID NO: 203 and/or SEQ ID NO: 204,
b: SEQ ID NO: 205 and/or SEQ ID NO: 206,
c: SEQ ID NO: 207 and/or SEQ ID NO: 208,
d: SEQ ID NO: 209 and/or SEQ ID NO: 210,
e: SEQ ID NO: 211 and/or SEQ ID NO: 212,
f: SEQ ID NO: 213 and/or SEQ ID NO: 214,
g: SEQ ID NO: 215 and/or SEQ ID NO: 216,
h: SEQ ID NO: 217 and/or SEQ ID NO: 218,
i: SEQ ID NO: 219 and/or SEQ ID NO: 220,
j: SEQ ID NO: 221 and/or SEQ ID NO: 222,
k: SEQ ID NO: 223 and/or SEQ ID NO: 224,
l: SEQ ID NO: 225 and/or SEQ ID NO: 226,
m: SEQ ID NO: 227 and/or SEQ ID NO: 228,
n: SEQ ID NO: 229 and/or SEQ ID NO: 230,
o: SEQ ID NO: 231 and/or SEQ ID NO: 232,
p: SEQ. ID NO: 233 and/or SEQ ID NO: 234,
q: SEQ ID NO: 235 and/or SEQ ID NO: 236, and
r: SEQ ID NO: 237 and/or SEQ ID NO: 238.
In a case where any one of the single nucleotide polymorphisms is used, especially, it is preferable that an allele of a single nucleotide polymorphism located on a 31st base of a base sequence is used, wherein the base sequence is at least one base sequence selected from the group consisting of the following base sequences containing a single nucleotide polymorphism:
SEQ ID NO: 203, SEQ ID NO: 206, SEQ ID NO: 208, SEQ ID NO: 209, SEQ ID NO: 211, SEQ ID NO: 214, SEQ ID NO: 216, SEQ ID NO: 218, SEQ ID NO: 219, SEQ ID NO: 221, SEQ ID NO: 224, SEQ ID NO: 226, SEQ ID NO: 228, SEQ ID NO: 229, SEQ ID NO: 231, SEQ ID NO: 234, SEQ ID NO: 235, and SEQ ID NO: 238,
or a complementary sequence thereto.
Here, these sequences are sequences containing a high-risk allele in each of polymorphic sites.
Further, the precision of the determination of a future onset risk of glaucoma can be improved by detecting a combination of two or more of alleles or genotypes associated with glaucoma in the present invention, using one sample.
For the single nucleotide polymorphisms to be combined, any ones can be used so long as they are a single nucleotide polymorphism in the present invention, preferably a single nucleotide polymorphism having a low p-value, and more preferably a single nucleotide polymorphism of which p-value obtained by combining the results obtained in two analyses by a meta-analysis method, such as Mantel-Haenszel method, is determined to be significant even below the level of Bonferroni correction. In addition, from a different viewpoint, it is preferable to use a single nucleotide polymorphism that is confirmed to contribute to the improvement in the precision of the risk prediction by a combination according to the logistic regression analysis described later. On the other hand, since the single nucleotide polymorphisms in a state of linkage disequilibrium mentioned above show the same behavior, in a case where plural single nucleotide polymorphisms in a state of linkage disequilibrium are combined, risks of glaucoma based on the same region may be evaluated unnecessarily seriously in some cases. In a case where a risk of a disease is predicted by combining the single nucleotide polymorphisms in the present invention, when it is intended to evaluate all the risks in even weighting, it is preferable that the prediction is carried out employing only one of the single nucleotide polymorphisms in the state of linkage disequilibrium, in a case that the plural single nucleotide polymorphisms that are in the state of linkage disequilibrium mentioned above are contained.
In a case where a risk is predicted according to a combination of any two or more single nucleotide polymorphisms in the present invention, an onset risk of glaucoma can be predicted using the regression formula obtained by the logistic regression analysis. Concretely, the regression formula according to the logistic regression analysis is obtained by respectively using each of the any two or more single nucleotide polymorphisms as an independent variable Ξ (homozygote of one allele=0, heterozygote=1, homozygote of an opposite allele=2). In each sample, a dependent variable Ξ¦ is calculated by substituting a value corresponding to each single nucleotide polymorphism into this formula. When a dependent variable Ξ¦ is greater than a given threshold (for example, 0.5), the determination can be made that this sample donor has an onset risk.
In the method of detecting a single nucleotide polymorphism associated with glaucoma and the method of predicting an onset risk of glaucoma in the present invention, in a case where any two or more single nucleotide polymorphisms are combined, the single nucleotide polymorphisms used in the detection are preferably single nucleotide polymorphisms which are located on 31st bases of base sequences, wherein the base sequences are base sequences containing two or more different single nucleotide polymorphisms, selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto,
more preferably single nucleotide polymorphisms which are located on 31st bases of base sequences, wherein the base sequences are base sequences containing two or more different single nucleotide polymorphisms, selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 238 or a complementary sequence thereto,
even more preferably single nucleotide polymorphisms which are located on 31st bases of base sequences, wherein the base sequences are base sequences containing two or more different single nucleotide polymorphisms, selected from the group consisting of pairs of base sequences containing a single nucleotide polymorphism listed below or a complementary sequence thereto,
wherein, as mentioned above, in the pairs of SEQ ID NOs: shown in a to r, each of the pairs of sequences corresponds to one single nucleotide polymorphism, and each of the base sequences is a base sequence containing an allele opposite to each other of the single nucleotide polymorphism in a 31st base:
a: SEQ ID NO: 203 and/or SEQ ID NO: 204,
b: SEQ ID NO: 205 and/or SEQ ID NO: 206,
c: SEQ ID NO: 207 and/or SEQ ID NO: 208,
d: SEQ ID NO: 209 and/or SEQ ID NO: 210,
e: SEQ ID NO: 211 and/or SEQ ID NO: 212,
f: SEQ ID NO: 213 and/or SEQ ID NO: 214,
g: SEQ ID NO: 215 and/or SEQ ID NO: 216,
h: SEQ ID NO: 217 and/or SEQ ID NO: 218,
i: SEQ ID NO: 219 and/or SEQ ID NO: 220,
j: SEQ ID NO: 221 and/or SEQ ID NO: 222,
k: SEQ ID NO: 223 and/or SEQ ID NO: 224,
l: SEQ ID NO: 225 and/or SEQ ID NO: 226,
m: SEQ ID NO: 227 and/or SEQ ID NO: 228,
n: SEQ ID NO: 229 and/or SEQ ID NO: 230,
o: SEQ ID NO: 231 and/or SEQ ID NO: 232,
p: SEQ ID NO: 233 and/or SEQ ID NO: 234,
q: SEQ ID NO: 235 and/or SEQ ID NO: 236, and
r: SEQ ID NO: 237 and/or SEQ ID NO: 238, and
even more preferably single nucleotide polymorphisms which are located on 31st bases of base sequences, wherein the base sequences are base sequences containing 10 or more different single nucleotide polymorphisms, selected from the group consisting of pairs of base sequences containing a single nucleotide polymorphism listed above or a complementary sequence thereto, and
even more preferably single nucleotide polymorphisms which are located on 31st bases of base sequences, wherein the base sequences are base sequences containing all the different single nucleotide polymorphisms, selected from the group consisting of pairs of base sequences containing a single nucleotide polymorphism listed above or a complementary sequence thereto.
In addition, it is preferable that the single nucleotide polymorphisms to be used in combination are those that are not in the state of linkage disequilibrium, and from this viewpoint, in all the embodiments of the combinations mentioned above, supposing that
a group composed of a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
a: SEQ ID NO: 203 and/or SEQ ID NO: 204, and
b: SEQ ID NO: 205 and/or SEQ ID NO: 206,
or a complementary sequence thereto, is named as a single nucleotide polymorphism of Group 1,
a group composed of a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
c: SEQ ID NO: 207 and/or SEQ ID NO: 208, and
d: SEQ ID NO: 209 and/or SEQ ID NO: 210,
or a complementary sequence thereto, is named as a single nucleotide polymorphism of Group 2,
a group composed of a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
j: SEQ ID NO: 221 and/or SEQ ID NO: 222,
k: SEQ ID NO: 223 and/or SEQ ID NO: 224, and
l: SEQ ID NO: 225 and/or SEQ ID NO: 226,
or a complementary sequence thereto, is named as a single nucleotide polymorphism of Group 3,
a group composed of a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
o: SEQ ID NO: 231 and/or SEQ ID NO: 232,
p: SEQ ID NO: 233 and/or SEQ ID NO: 234,
q: SEQ ID NO: 235 and/or SEQ ID NO: 236, and
r: SEQ ID NO: 237 and/or SEQ ID NO: 238,
or a complementary sequence thereto, is named as a single nucleotide polymorphism of Group 4,
it is preferable to use
any one of the single nucleotide polymorphisms in Group 1 in a case that the single nucleotide polymorphisms belonging to Group 1 are used,
any one of the single nucleotide polymorphisms in Group 2 in a case that the single nucleotide polymorphisms belonging to Group 2 are used,
any one of the single nucleotide polymorphisms in Group 3 in a case that the single nucleotide polymorphisms belonging to Group 3 are used, and/or
any one of the single nucleotide polymorphisms in Group 4 in a case that the single nucleotide polymorphisms belonging to Group 4 are used.
Further, in all the embodiments of the combinations mentioned above, it is preferable that an allele of a single nucleotide polymorphism located on a 31st base of a base sequence is used, wherein the base sequence is a base sequence containing two or more different single nucleotide polymorphisms, selected from the group consisting of the following base sequences containing a single nucleotide polymorphism:
SEQ ID NO: 203, SEQ ID NO: 206, SEQ ID NO: 208, SEQ ID NO: 209, SEQ ID NO: 211, SEQ ID NO: 214, SEQ ID NO: 216, SEQ ID NO: 218, SEQ ID NO: 219, SEQ ID NO: 221, SEQ ID NO: 224, SEQ ID NO: 226, SEQ ID NO: 228, SEQ ID NO: 229, SEQ ID NO: 231, SEQ ID NO: 234, SEQ ID NO: 235, and SEQ ID NO: 238,
or a complementary sequence thereto.
Here, these base sequences are sequences containing a high-risk allele in each of polymorphic sites.
(Probe Capable of Detecting Allele Associated with Glaucoma)
In another embodiment of the present invention, an allele-specific nucleic acid molecule or probe (hereinafter referred to as probe) capable of detecting an allele associated with glaucoma, and a method of detecting an allele or a genotype associated with glaucoma using the probe are provided.
Any probes may be used so long as the probe is capable of hybridizing under the stringent conditions to an allele-specific sequence, in a polymorphic site of the single nucleotide polymorphism associated with glaucoma in the present invention. The determination of the allele in a polymorphic site can be made by detecting any one of polymorphic sites of the sense strand and the antisense strand on the genome; therefore, the probe in the present invention embraces any one of sequences complementary to a sequence specific to an allele of the sense strand and sequences complementary to a sequence specific to an allele of the antisense strand, in other words, sequences specific to an allele of the sense strand. The probe in the present invention can also be used in the detection of cDNA or mRNA, containing a single nucleotide polymorphism in the present invention. In a case where the probe is used in the detection of cDNA or mRNA, a probe in which the single nucleotide polymorphism exists in exon or neighborhood thereof is used.
The probes capable of detecting each of alleles of the single nucleotide polymorphisms listed in Tables 1 and 2, Tables 5 to 25, Tables 26 to 28, Tables 29 to 51, or Tables 52 to 62 given later or a complementary strand thereto, and the probes capable of specifically detecting each of alleles of any single nucleotide polymorphisms that exist in a region associated with glaucoma listed in Tables 3 and 4 or Tables 63 to 70 given later or a complementary strand thereto are all embraced in the probe in the present invention. In a case where, for example, the obtained results are based on a single analysis using a microarray in which a probe capable of specifically detecting each of alleles of 500,000 single nucleotide polymorphisms, or a complementary strand thereto, is detected in a single operation, the probe of the present invention is preferably a probe capable of specifically detecting each of alleles of a single nucleotide polymorphism or a complementary strand thereto, of which p-value is 1Γ10β3 or less, more preferably a probe capable of specifically detecting each of alleles of a single nucleotide polymorphism or a complementary strand thereto, of which p-value is 3Γ10β4 or less, even more preferably a probe capable of specifically detecting each of alleles of a single nucleotide polymorphism or a complementary strand thereto, of which p-value is 1Γ10β4 or less, and even more preferably a probe capable of specifically detecting each of alleles of a single nucleotide polymorphism or a complementary strand thereto, of which p-value is 3Γ10β5 or less. In a case where plural analytical results are combined and obtained according to a method of meta-analysis, such as Mantel-Haenszel method, the probe is preferably a probe capable of specifically detecting each of alleles of a single nucleotide polymorphism or a complementary strand thereto, of which p-value is 1Γ10β2 or less, more preferably a probe capable of specifically detecting each of alleles of a single nucleotide polymorphism or a complementary strand thereto, of which p-value is 3Γ10β3 or less, even more preferably a probe capable of specifically detecting each of alleles of a single nucleotide polymorphism or a complementary strand thereto, of which p-value is 1Γ10β3 or less, even more preferably a probe capable of specifically detecting each of alleles of a single nucleotide polymorphism or a complementary strand thereto, of which p-value is 3Γ10β4 or less, and even more preferably a probe capable of specifically detecting each of alleles of a single nucleotide polymorphism or a complementary strand thereto, of which p-value is 1Γ10β4 or less.
The probe in the present invention preferably contains an allele-specific sequence or a complementary strand thereto, and even more preferably in the probe in the present invention, a sequence contributing to an allele-specific hybridization consists only of an allele-specific sequence or a complementary strand thereto. To the probe in the present invention, a spacer or any sequences of several bases that are not from an allele-specific sequence for the purpose of providing stabilization or the like can be added in an end, within the range that the probe is capable of hybridizing to the sequence under the stringent conditions. The added sequence is preferably a sequence that does not take a three-dimensional structure, such as a hairpin structure.
The probe can be provided with any labels for use in the detection.
Any labels to be provided to the probe that are ordinarily used can be used, and in general, a fluorescent label such as FITC or Cy3, biotin, an enzyme label such as an alkaline phosphatase and horseradish peroxidase, or the like is usable. In a case where a biotin label is used, streptavidin capable of specifically binding to biotin is previously provided with a further detectable label, and the labeled streptavidin is used as a secondary label. A labeled anti-biotin antibody can also be used in place of the labeled streptavidin. As a method of providing a label to a probe, any known methods may be used, and the methods are well known to one of ordinary skill in the art. An arbitrary sequence which serves as a spacer as mentioned above may be added to the probe, and the spacer may be provided with a label. A reagent for labeling a probe, a labeled streptavidin, a labeled anti-biotin antibody or the like is commercially available as a reagent, and can also be purchased.
The probe in the present invention is not limited whether it is a deoxyribonucleic acid, a ribonucleic acid, or a peptide nucleic acid, and a probe containing a mixed sequence thereof is also embraced in the present invention, so long as the probe is capable of specifically hybridizing to a nucleic acid molecule having an allele of interest. In a case where a probe containing a ribonucleic acid is used as the probe in the present invention, in the sequence of the probe in the present invention (including a sequence complementary thereto), thymine may read as uracil. In addition, the probe in the present invention may be subjected to chemical modifications as needed, so long as the probe is capable of specifically hybridizing under stringent conditions to a nucleic acid molecule having an allele of interest. As the method of providing a chemical label, any known methods may be used.
The probe for the detection can be reacted with the sample in the state of solution and then detected by a known method, or previously immobilized to a carrier. The probe can take the form of an immobilized probe obtained by previously immobilizing a probe corresponding to each of the alleles of several to several hundred-thousand different single nucleotide polymorphisms to a location defined on a solid carrier in the number of from one to dozen probes per one single nucleotide polymorphism, reacting a sample to the immobilized probes, scanning a signal generated from a hybridized probe, and analyzing the scanned data with a computer, which is a so-called microarray. In a case where the probe takes the form of an immobilized probe, the largest number of the immobilized probes are limited by immobilization density and area of immobilized sites for the probes.
In a case where the probe takes the form of an immobilized probe as described above, signals on the solid phase from the nucleic acid molecule having a labeled target allele can be detected by previously labeling a nucleic acid molecule in a sample by a known method, and binding the labeled nucleic acid molecule with an immobilized unlabeled probe in the present invention, or by binding a nucleic acid molecule having an allele to be detected to an immobilized unlabeled probe in the present invention, and thereafter labeling the product according to a known method.
The immobilization can be carried out by any of known method, and for example, a method such as synthetic oligoprint or spotting photolithograph can be used. Also, the material for the carrier is not limited, and a generally used material, for example, a polymer such as a polycarbonate or a polystyrene, glass, silicon crystal or the like can be used. In addition, in order to enhance adhesive strength of the nucleic acids, a carrier may be provided with a coating such as cationization before the immobilization. In addition, in order to prevent nonspecific nucleic acids from being adsorbed to a carrier, blocking can be carried out with a known blocking agent after the immobilization. The blocking agent as mentioned above may be any ones so long as the blocking agent is capable of controlling the nonspecific nucleic acids from being adsorbed to the carrier, and for example, salmon sperm DNA, Denhardt's solution, Cot-I DNA extracted from human placenta, an anionic surfactant such as sodium dodecyl sulfate, a nonionic surfactant such as polyoxyethylene sorbitan monolaurate, or the like can be used.
In addition, in a case where the probe is immobilized, it is possible to construct that each of the opposite alleles contained in one sample is detected under the same operation by immobilizing a probe specific to each of the alleles opposite to each other on the same carrier. In the construction as described above, not only the alleles but also the genotypes in the samples can be determined.
It is preferable that the probe used in the detection of the allele is a probe having a length of preferably from 16 to 55 bases, more preferably from 23 to 27 bases or 47 to 53 bases, and even more preferably 25 bases in total of a length of the polymorphic site and some bases before and after the polymorphic site, the probe containing the polymorphic site mentioned above and a surrounding sequence thereof, or a sequence complementary thereto, that the probe is a probe containing the polymorphic site mentioned above and a 5β²-upstream side thereof, preferably a sequence of 49 bases (i.e. a sequence of 50 bases), the probe containing the polymorphic site mentioned above and a surrounding sequence thereof, or a sequence complementary thereto, or that the probe is a probe containing a sequence of 50 bases on a 5β²-upstream side of the polymorphic site mentioned above, the probe having a sequence adjoining the polymorphic site mentioned above, or a sequence complementary thereto.
An even more preferred probe used in the detection of the allele is:
1) a probe capable of specifically detecting an allele of the single nucleotide polymorphism, containing the polymorphic site mentioned above and a sequence of 12 bases each before and after the polymorphic site, i.e. a sequence of 25 bases in length, and the probe containing the polymorphic site mentioned above and a surrounding sequence thereof, or a sequence complementary thereto, or
2a) a probe capable of specifically detecting an allele of the single nucleotide polymorphism, containing the polymorphic site mentioned above and a sequence of 49 bases on the 5β²-upstream side thereof (i.e. sequence of 50 bases), and the probe containing a sequence containing the polymorphic site mentioned above or a sequence complementary thereto, or
2b) a probe capable of specifically detecting an allele of the single nucleotide polymorphism, having a sequence of 50 bases on a 5β²-upstream side of the polymorphic site mentioned above, and the probe having a sequence adjoining the polymorphic site mentioned above, or a sequence complementary thereto.
In the method of detecting a single nucleotide polymorphism associated with glaucoma and the method of predicting an onset risk of glaucoma in the present invention, the probe usable in the detection is a probe containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto, or a partial sequence thereof, and/or a probe having a base sequence containing at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 515 to 694 or a complementary sequence thereto, more preferably a probe containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 238 or a complementary sequence thereto, or a partial sequence thereof, and/or a probe having a base sequence containing at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 515 to 535 or a complementary sequence thereto, and
even more preferably a probe containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from following Group A consisting of pairs of base sequences a to r containing a single nucleotide polymorphism or a complementary sequence thereto, or a partial sequence thereof, and/or a probe containing a base sequence, wherein the base sequence is at least one base sequence or a pair of base sequences, selected from Group B consisting of base sequences aa to rr or pairs of the base sequences, or a complementary sequence thereto,
wherein in pairs of SEQ ID NOs: shown in a to r, each of the pairs of sequences corresponds to one single nucleotide polymorphism, and each of the base sequences is a base sequence containing an allele opposite to each other of the single nucleotide polymorphism on a 31st base, and
in SEQ ID NOs: shown in aa to rr or pairs of the SEQ ID NOs:, each of the base sequences or the pairs of the base sequences is a sequence for the probe or a pair of sequences for the probes, used in the detection of one single nucleotide polymorphism,
wherein a and aa, b and bb, c and cc, d and dd, e and ee, f and ff, g and gg, h and hh, i and ii, j and jj, k and kk, l and ll, m and mm, n and nn, o and oo, p and pp, q and qq, and r and rr respectively correspond to the same single nucleotide polymorphism,
a: SEQ ID NO: 203 and/or SEQ ID NO: 204,
b: SEQ ID NO: 205 and/or SEQ ID NO: 206,
c: SEQ ID NO: 207 and/or SEQ ID NO: 208,
d: SEQ ID NO: 209 and/or SEQ ID NO: 210,
e: SEQ ID NO: 211 and/or SEQ ID NO: 212,
f: SEQ ID NO: 213 and/or SEQ ID NO: 214,
g: SEQ ID NO: 215 and/or SEQ ID NO: 216,
h: SEQ ID NO: 217 and/or SEQ ID NO: 218,
i: SEQ ID NO: 219 and/or SEQ ID NO: 220,
j: SEQ ID NO: 221 and/or SEQ ID NO: 222,
k: SEQ ID NO: 223 and/or SEQ ID NO: 224,
l: SEQ ID NO: 225 and/or SEQ ID NO: 226,
m: SEQ ID NO: 227 and/or SEQ ID NO: 228,
n: SEQ ID NO: 229 and/or SEQ ID NO: 230,
o: SEQ ID NO: 231 and/or SEQ ID NO: 232,
p: SEQ ID NO: 233 and/or SEQ ID NO: 234,
q: SEQ ID NO: 235 and/or SEQ ID NO: 236, and
r: SEQ ID NO: 237 and/or SEQ ID NO: 238, and
aa: SEQ ID NO: 515 and/or SEQ ID NO: 533,
dd: SEQ ID NO: 518 and/or SEQ ID NO: 534,
pp: SEQ ID NO: 530 and/or SEQ ID NO: 535,
In a case where any one of the single nucleotide polymorphisms is used, especially, it is preferable that in Group A, a probe containing an allele of a single nucleotide polymorphism located on a 31st base of a base sequence is used, wherein the base sequence is at least one base sequence selected from the group consisting of the following base sequences containing a single nucleotide polymorphism:
SEQ ID NO: 203, SEQ ID NO: 206, SEQ ID NO: 208, SEQ ID NO: 209, SEQ ID NO: 211, SEQ ID NO: 214, SEQ ID NO: 216, SEQ ID NO: 218, SEQ ID NO: 219, SEQ ID NO: 221, SEQ ID NO: 224, SEQ ID NO: 226, SEQ ID NO: 228, SEQ ID NO: 229, SEQ ID NO: 231, SEQ ID NO: 234, SEQ ID NO: 235, and SEQ ID NO: 238,
or a complementary sequence thereto, or a partial sequence thereof, and in Group B, a probe containing a base sequence containing at least one base sequence selected from the group consisting of the following base sequences:
SEQ ID NO: 533, SEQ ID NO: 516, SEQ ID NO: 517, SEQ ID NO: 518, SEQ ID NO: 519, SEQ ID NO: 520, SEQ ID NO: 521, SEQ ID NO: 522, SEQ ID NO: 523, SEQ ID NO: 524, SEQ ID NO: 525, SEQ ID NO: 526, SEQ ID NO: 527, SEQ ID NO: 528, SEQ ID NO: 529, SEQ ID NO: 535, SEQ ID NO: 531, and SEQ ID NO: 532,
or a complementary sequence thereto is used.
Here, these base sequences are sequences corresponding to a probe used in the detection of a high-risk allele.
In the method of detecting a single nucleotide polymorphism associated with glaucoma and the method of predicting an onset risk of glaucoma in the present invention, in a case where any two or more single nucleotide polymorphisms are combined, the probes usable in the detection are preferably probes containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism, selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto, or a partial sequence thereof, and/or probes having a base sequence containing a base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 515 to 694 or a complementary sequence thereto, wherein the probes are probes corresponding to two or more different single nucleotide polymorphisms thereof,
more preferably probes containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism, selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 238 or a complementary sequence thereto, or a partial sequence thereof, and/or probes having a base sequence containing a base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 515 to 535 or a complementary sequence thereto, wherein the probes are probes corresponding to two or more different single nucleotide polymorphisms thereof, and
even more preferably probes containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism selected from following Group A consisting of pairs of base sequences a to r containing a single nucleotide polymorphism or a complementary sequence thereto, or a partial sequence thereof, and/or two or more different probes having a base sequence, wherein the base sequence contains base sequences or a pair of base sequences, selected from Group B consisting of base sequences aa to rr or pairs of the base sequences, or a complementary sequence thereto,
wherein in pairs of SEQ ID NOs: shown in a to r, each of the pairs of sequences corresponds to one single nucleotide polymorphism, and each of the base sequences is a base sequence containing an allele opposite to each other of the single nucleotide polymorphism on a 31st base, and
in SEQ ID NOs: shown in aa to rr or pairs of the SEQ ID NOs:, each of the base sequences or the pairs of the base sequences is a sequence for the probe or a pair of sequences for the probes, used in the detection of one single nucleotide polymorphism,
wherein a and aa, b and bb, c and cc, d and dd, e and ee, f and ff, g and gg, h and hh, i and ii, j and jj, k and kk, l and ll, m and mm, n and nn, o and oo, p and pp, q and qq, and r and rr respectively correspond to the same single nucleotide polymorphism,
a: SEQ ID NO: 203 and/or SEQ ID NO: 204,
b: SEQ ID NO: 205 and/or SEQ ID NO: 206,
c: SEQ ID NO: 207 and/or SEQ ID NO: 208,
d: SEQ ID NO: 209 and/or SEQ ID NO: 210,
e: SEQ ID NO: 211 and/or SEQ ID NO: 212,
f: SEQ ID NO: 213 and/or SEQ ID NO: 214,
g: SEQ ID NO: 215 and/or SEQ ID NO: 216,
h: SEQ ID NO: 217 and/or SEQ ID NO: 218,
i: SEQ ID NO: 219 and/or SEQ ID NO: 220,
j: SEQ ID NO: 221 and/or SEQ ID NO: 222,
k: SEQ ID NO: 223 and/or SEQ ID NO: 224,
l: SEQ ID NO: 225 and/or SEQ ID NO: 226,
m: SEQ ID NO: 227 and/or SEQ ID NO: 228,
n: SEQ ID NO: 229 and/or SEQ ID NO: 230,
o: SEQ ID NO: 231 and/or SEQ ID NO: 232,
p: SEQ ID NO: 233 and/or SEQ ID NO: 234,
q: SEQ ID NO: 235 and/or SEQ ID NO: 236, and
r: SEQ ID NO: 237 and/or SEQ ID NO: 238, and
aa: SEQ ID NO: 515 and/or SEQ ID NO: 533,
dd: SEQ ID NO: 518 and/or SEQ ID NO: 534,
pp: SEQ ID NO: 530 and/or SEQ ID NO: 535,
even more preferably probes containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism selected from Group A listed above consisting of pairs of the base sequences containing the single nucleotide polymorphism or a complementary sequence thereto, or a partial sequence thereof, and/or probes having a base sequence, wherein the base sequence contains a base sequence selected from Group B listed above consisting of pairs of the base sequences or a complementary sequence thereto, wherein the probes are probes corresponding to 10 or more different single nucleotide polymorphisms thereof, and
even more preferably probes containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism selected from Group A listed above consisting of pairs of the base sequences containing the single nucleotide polymorphism or a complementary sequence thereto, or a partial sequence thereof, and/or probes having a base sequence, wherein the base sequence contains a base sequence selected from Group B listed above consisting of pairs of the base sequences or a complementary sequence thereto, wherein the probes are probes corresponding to all the different single nucleotide polymorphisms thereof.
In addition, it is preferable that the single nucleotide polymorphisms to be used in combination are those that are not in the state of linkage disequilibrium, and from this viewpoint, in all the embodiments of the combinations mentioned above, supposing that, in Group A, a group composed of a base sequence containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
a: SEQ ID NO: 203 and/or SEQ ID NO: 204, and
b: SEQ ID NO: 205 and/or SEQ ID NO: 206,
or a complementary sequence thereto, or a partial sequence thereof, is named as a base sequence of Group 1,
a group composed of a base sequence containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
c: SEQ ID NO: 207 and/or SEQ ID NO: 208, and
d: SEQ ID NO: 209 and/or SEQ ID NO: 210,
or a complementary sequence thereto, or a partial sequence thereof, is named as a base sequence of Group 2,
a group composed of a base sequence containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
j: SEQ ID NO: 221 and/or SEQ ID NO: 222,
k: SEQ ID NO: 223 and/or SEQ ID NO: 224, and
l: SEQ ID NO: 225 and/or SEQ ID NO: 226,
or a complementary sequence thereto, or a partial sequence thereof, is named as a base sequence of Group 3,
a group composed of a base sequence containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
o: SEQ ID NO: 231 and/or SEQ ID NO: 232,
p: SEQ ID NO: 233 and/or SEQ ID NO: 234,
q: SEQ ID NO: 235 and/or SEQ ID NO: 236, and
r: SEQ ID NO: 237 and/or SEQ ID NO: 238,
or a complementary sequence thereto, or a partial sequence thereof, is named as a base sequence of Group 4, and
that in Group B,
a group composed of a base sequence containing a base sequence belonging to the group consisting of:
aa: SEQ ID NO: 515 and/or SEQ ID NO: 533, and
or a complementary sequence thereto, is named as a base sequence of Group 1,
a group composed of a base sequence containing a base sequence belonging to the group consisting of:
dd: SEQ ID NO: 518 and/or SEQ ID NO: 534
or a complementary sequence thereto, is named as a base sequence of Group 2,
a group composed of a base sequence containing a base sequence belonging to the group consisting of:
or a complementary sequence thereto, is named as a base sequence of Group 3, and
a group composed of a base sequence containing a base sequence belonging to the group consisting of:
pp: SEQ ID NO: 530 and/or SEQ ID NO: 535,
or a complementary sequence thereto, is named as a base sequence of Group 4,
it is preferable to use
a probe containing any one of the base sequences in Group 1 in a case that the base sequences belonging to Group 1 are used,
a probe containing any one of the base sequences in Group 2 in a case that the base sequences belonging to Group 2 are used,
a probe containing any one of the base sequences in Group 3 in a case that the base sequences belonging to Group 3 are used, and/or
a probe containing any one of the base sequences in Group 4 in a case that the base sequences belonging to Group 4 are used.
Further, in all the embodiment of the combinations mentioned above, in Group A, a probe containing an allele of a single nucleotide polymorphism located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism selected from the group consisting of the following base sequences containing a single nucleotide polymorphism:
SEQ ID NO: 203, SEQ ID NO: 206, SEQ ID NO: 208, SEQ ID NO: 209, SEQ ID NO: 211, SEQ ID NO: 214, SEQ ID NO: 216, SEQ ID NO: 218, SEQ ID NO: 219, SEQ ID NO: 221, SEQ ID NO: 224, SEQ ID NO: 226, SEQ ID NO: 228, SEQ ID NO: 229, SEQ ID NO: 231, SEQ ID NO: 234, SEQ ID NO: 235, and SEQ ID NO: 238,
or a complementary sequence thereto, or a partial sequence thereof, is preferred, and
in Group B, a probe containing a base sequence containing a base sequence selected from the group consisting of the following base sequences:
SEQ ID NO: 533, SEQ ID NO: 516, SEQ ID NO: 517, SEQ ID NO: 518, SEQ ID NO: 519, SEQ ID NO: 520, SEQ ID NO: 521, SEQ ID NO: 522, SEQ ID NO: 523, SEQ ID NO: 524, SEQ ID NO: 525, SEQ ID NO: 526, SEQ ID NO: 527, SEQ ID NO: 528, SEQ ID NO: 529, SEQ ID NO: 535, SEQ ID NO: 531, and SEQ ID NO: 532,
or a complementary sequence thereto is preferred.
Here, these base sequences are sequences corresponding to a probe used in the detection of a high-risk allele.
The probe in a case where a Taqman method is used in the detection of an allele usually has a length of preferably from 10 to 300 bases, and contains the polymorphic site mentioned above and a surrounding sequence thereof, or a sequence complementary thereto, and the probe also contains a fluorescent substance and a quencher. More preferably, the probe has a length of 20 to 60 bases, and contains the polymorphic site mentioned above and a surrounding sequence thereof, or a sequence complementary thereto, and the probe contains a fluorescent substance and a quencher.
The probes in a case where an Invader method is used in the detection of an allele comprise a probe (reporter) which have a common sequence to a 3β²-side of the polymorphic site mentioned above and a sequence on a 5β²-side being completely different therefrom, and a probe (invader) only composed of the common sequence to a 5β²-side. These probes usually have a length of preferably from 10 to 300 bases, and more preferably a length of from 20 to 60 bases.
The probe in a case where a LightCycler method is used in the detection of an allele, usually has a length of preferably from 10 to 300 bases, and contains the polymorphic site mentioned above and a surrounding sequence thereof, or a sequence complementary thereto, and the probe contains a fluorescent substance and a quencher. More preferably, the probe has a length of 20 to 60 bases, and contains the polymorphic site mentioned above and a surrounding sequence thereof, or a sequence complementary thereto, and the probe contains a fluorescent substance and a quencher.
The probe in a case where a cyclin probe method is used in the detection of an allele is a probe in which DNA sequences are bound in a manner that both ends of an RNA sequence having the polymorphic site and a surrounding sequence thereof, or a sequence complementary thereto, are sandwiched, and each of DNA ends has a fluorescent substance or a quencher. These probes usually have a length of preferably from 10 to 300 bases, and contain the polymorphic site mentioned above and a surrounding sequence thereof, or a sequence complementary thereto. More preferably, the probe has a length of 20 to 60 bases, and contains the polymorphic site mentioned above and a surrounding sequence thereof, or a sequence complementary thereto.
The probes in a case where an MPSS method is used in the detection of an allele comprise an oligo DNA (encoded adaptor probe) having a protruding end of 4 bases on a 5β²-side, subsequently a recognition sequence for a restriction enzyme BbvI, and a single-stranded sequence to which a decoder probe is bound on a 3β²-side, and a single strand oligo DNA (decoder probe) which has fluorescent substance on a 3β²-side, and containing 4 different sequences, each sequence specifically hybridizing to one of the encoded adaptor probes. Here, a DNA sequence is bound in a manner that both ends of an RNA sequence having the polymorphic site mentioned above and a surrounding sequence thereof, or a sequence complementary thereto, are sandwiched, and each of DNA ends has a fluorescent substance or a quencher. The encoded adaptor probe usually has a length of preferably from 10 to 300 base pairs, and more preferably from 15 to 40 base pairs. On the other hand, the decoder probe usually has a length of preferably from 10 to 300 base pairs, and more preferably from 5 to 30 base pairs.
(Kit of Detecting Allele Associated with Glaucoma)
In another embodiment of the present invention, a kit of detecting a single nucleotide polymorphism associated with glaucoma is provided.
The kit of the present invention (or a composition for predicting a risk) embraces all those kits so long as the allele or genotype of any one of single nucleotide polymorphisms associated with glaucoma disclosed in the present invention can be detected in a nucleic acid molecule in a sample. As mentioned above, the kit of the present invention may be those that detect a base of either the sense strand or the antisense strand of the single nucleotide polymorphism, or those that detect bases of both the strands. In a case where the kit of the present invention is based on the results obtained in a single analysis using a microarray for a kit of detecting an allele or genotype associated with glaucoma for detecting, for example, 500,000 single nucleotide polymorphisms in a single operation, the kit is preferably a kit of detecting an allele or genotype associated with glaucoma for single nucleotide polymorphisms having a p-value of 1Γ10β4 or less listed in Tables 1 and 2 set forth below, more preferably a kit of detecting an allele or genotype associated with glaucoma for single nucleotide polymorphisms having a p-value of 3Γ104 or less, even more preferably a kit of detecting an allele or genotype associated with glaucoma for single nucleotide polymorphisms having a p-value of 1Γ10β4 or less, and even more preferably a kit of detecting an allele or genotype associated with glaucoma for single nucleotide polymorphisms having a p-value of 3Γ10β5 or less. In a case where the plural analytic results are combined and obtained according to a method of meta-analysis, such as Mantel-Haenszel method, the kit is preferably a kit of detecting an allele or genotype associated with glaucoma for single nucleotide polymorphisms having a p-value listed in Tables 52 to B set forth below of 1Γ10β2 or less, more preferably a kit of detecting an allele or genotype associated with glaucoma for single nucleotide polymorphisms having a p-value of 3Γ10β3 or less, even more preferably a kit of detecting an allele or genotype associated with glaucoma for single nucleotide polymorphisms having a p-value of 1Γ10β3 or less, even more preferably a kit of detecting an allele or genotype associated with glaucoma for single nucleotide polymorphisms having a p-value of 3Γ10β4 or less, and even more preferably a kit of detecting an allele or genotype associated with glaucoma for single nucleotide polymorphisms having a p-value of 1Γ10β4 or less.
A kit of detecting both an allele identified in a high frequency in the glaucoma patient group mentioned above and an allele opposite to the allele is also one embodiment of the present invention. In a case where a kit as described above is used, as already explained, a genotype of each of the alleles can also be determined.
By detecting the presence of an allele or a genotype that is identified in a high frequency in glaucoma patients in the sample using the kit of the present invention, a future onset risk of glaucoma of an individual not having glaucoma at the present stage can be predicted, whether or not precise visual field examinations for glaucoma are required can be determined, or the diagnosis of an individual who is suspected of glaucoma can be made for glaucoma.
In addition, as mentioned above, a kit for determining alleles that are opposite to each other in a single operation can be prepared by using a probe specific to each of the alleles that are opposite to each other, and providing different labels to the probes, or providing in the form of a microarray or beads array as mentioned above.
The precision for the prediction of the onset risk of glaucoma or the determination of whether or not precise visual field examinations are required can also be improved by providing a kit having the constitution of detecting these plural alleles or genotypes using one sample. Even in the constitution as described above, a constitution can be taken that the detection is carried out in a single operation by having the form of probes provided with different labels, or the form of the microarray or beads array mentioned above.
In the method of detecting a single nucleotide polymorphism associated with glaucoma and the method of predicting an onset risk of glaucoma in the present invention, the kit usable in detecting or predicting a risk is
a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto, or a partial sequence thereof, and/or
a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a base sequence containing at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 515 to 694 or a complementary sequence thereto, more preferably a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 238 or a complementary sequence thereto, or a partial sequence thereof, and/or a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a base sequence containing at least one base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 515 to 535 or a complementary sequence thereto, even more preferably a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from following Group A consisting of pairs of base sequences a to r containing a single nucleotide polymorphism or a complementary sequence thereto, or a partial sequence thereof, and/or
a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a base sequence containing at least one base sequence or a pair of base sequences, selected from Group B consisting of base sequences aa to rr or pairs of the base sequences, or a complementary sequence thereto,
wherein in pairs of SEQ ID NOs: shown in a to r, each of the pairs of sequences corresponds to one single nucleotide polymorphism, and each of the base sequences is a base sequence containing an allele opposite to each other of the single nucleotide polymorphism on a 31st base, and
in SEQ ID NOs: shown in aa to rr or pairs of the SEQ ID NOs:, each of the base sequences or the pairs of the base sequences is a sequence for the nucleic acid molecule or a pair of sequences for the nucleic acid molecule, used in the detection of one single nucleotide polymorphism,
wherein a and aa, b and bb, c and cc, d and dd, e and ee, f and ff, g and gg, h and hh, i and ii, j and jj, k and kk, l and ll, m and mm, n and nn, o and oo, p and pp, q and qq, and r and rr respectively correspond to the same single nucleotide polymorphism,
a: SEQ ID NO: 203 and/or SEQ ID NO: 204,
b: SEQ ID NO: 205 and/or SEQ ID NO: 206,
c: SEQ ID NO: 207 and/or SEQ ID NO: 208,
d: SEQ ID NO: 209 and/or SEQ ID NO: 210,
e: SEQ ID NO: 211 and/or SEQ ID NO: 212,
f: SEQ ID NO: 213 and/or SEQ ID NO: 214,
g: SEQ ID NO: 215 and/or SEQ ID NO: 216,
h: SEQ ID NO: 217 and/or SEQ ID NO: 218,
i: SEQ ID NO: 219 and/or SEQ ID NO: 220,
j: SEQ ID NO: 221 and/or SEQ ID NO: 222,
k: SEQ ID NO: 223 and/or SEQ ID NO: 224,
l: SEQ ID NO: 225 and/or SEQ ID NO: 226,
m: SEQ ID NO: 227 and/or SEQ ID NO: 228,
n: SEQ ID NO: 229 and/or SEQ ID NO: 230,
o: SEQ ID NO: 231 and/or SEQ ID NO: 232,
p: SEQ ID NO: 233 and/or SEQ ID NO: 234,
q: SEQ ID NO: 235 and/or SEQ ID NO: 236, and
r: SEQ ID NO: 237 and/or SEQ ID NO: 238, and
aa: SEQ ID NO: 515 and/or SEQ ID NO: 533,
dd: SEQ ID NO: 518 and/or SEQ ID NO: 534,
pp: SEQ ID NO: 530 and/or SEQ ID NO: 535,
In a case where any one of the single nucleotide polymorphisms is used, especially, in Group A, preferred is a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or predicting an onset risk of glaucoma, using a nucleic acid molecule containing an allele of a single nucleotide polymorphism located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from the group consisting of the following base sequences containing a single nucleotide polymorphism:
SEQ ID NO: 203, SEQ ID NO: 206, SEQ ID NO: 208, SEQ ID NO: 209, SEQ ID NO: 211, SEQ ID NO: 214, SEQ ID NO: 216, SEQ ID NO: 218, SEQ ID NO: 219, SEQ ID NO: 221, SEQ ID NO: 224, SEQ ID NO: 226, SEQ ID NO: 228, SEQ ID NO: 229, SEQ ID NO: 231, SEQ ID NO: 234, SEQ ID NO: 235, and SEQ ID NO: 238,
or a complementary sequence thereto, or a partial sequence thereof, and in Group B, preferred is a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a base sequence containing a base sequence selected from the group consisting of the following base sequences:
SEQ ID NO: 533, SEQ ID NO: 516, SEQ ID NO: 517, SEQ ID NO: 518, SEQ ID NO: 519, SEQ ID NO: 520, SEQ ID NO: 521, SEQ ID NO: 522, SEQ ID NO: 523, SEQ ID NO: 524, SEQ ID NO: 525, SEQ ID NO: 526, SEQ ID NO: 527, SEQ ID NO: 528, SEQ ID NO: 529, SEQ ID NO: 535, SEQ ID NO: 531, and SEQ ID NO: 532,
or a complementary sequence thereto.
Here, these base sequences are sequences corresponding to a nucleic acid molecule used in the detection of a high-risk allele.
In the method of detecting a single nucleotide polymorphism associated with glaucoma and the method of predicting an onset risk of glaucoma in the present invention, in a case where any two or more single nucleotide polymorphisms are combined, the kit usable in detecting or predicting a risk is
preferably a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism, selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 514 or a complementary sequence thereto, or a partial sequence thereof, and/or
a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a base sequence containing a base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 515 to 694 or a complementary sequence thereto, wherein the kit is a kit corresponding to two or more different single nucleotide polymorphisms thereof,
more preferably a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism, selected from the group consisting of base sequences shown in SEQ ID NOs: 203 to 218 or a complementary sequence thereto, or a partial sequence thereof, and/or
a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a base sequence containing a base sequence selected from the group consisting of base sequences shown in SEQ ID NOs: 515 to 535 or a complementary sequence thereto, wherein the kit is a kit corresponding to two or more different single nucleotide polymorphisms thereof,
even more preferably a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism, selected from the group consisting of the following pairs of base sequences containing a single nucleotide polymorphism or a complementary sequence thereto, or a partial sequence thereof, and/or a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a base sequence, wherein the base sequence contains a base sequence or a pair of base sequences, selected from Group B consisting of base sequences aa to rr or pairs of the base sequences, or a complementary sequence thereto, wherein the kit is a kit corresponding to two or more different single nucleotide polymorphisms thereof,
wherein in pairs of SEQ ID NOs: shown in a to r, each of the pairs of sequences corresponds to one single nucleotide polymorphism, and each of the base sequences is a base sequence containing an allele opposite to each other of the single nucleotide polymorphism on a 31st base, and in SEQ ID NOs: shown in aa to rr or pairs of the SEQ ID NOs:, each of the base sequences or the pair of base sequences is a sequence for the nucleic acid molecule or a pair of sequences for the nucleic acid molecule, used in the detection of one single nucleotide polymorphism,
wherein a and aa, b and bb, c and cc, d and dd, e and ee, f and ff, g and gg, h and hh, i and ii, j and jj, k and kk, l and ll, m and mm, n and nn, o and oo, p and pp, q and qq, and r and rr respectively correspond to the same single nucleotide polymorphism,
a: SEQ ID NO: 203 and/or SEQ ID NO: 204,
b: SEQ ID NO: 205 and/or SEQ ID NO: 206,
c: SEQ ID NO: 207 and/or SEQ ID NO: 208,
d: SEQ ID NO: 209 and/or SEQ ID NO: 210,
e: SEQ ID NO: 211 and/or SEQ ID NO: 212,
f: SEQ ID NO: 213 and/or SEQ ID NO: 214,
g: SEQ ID NO: 215 and/or SEQ ID NO: 216,
h: SEQ ID NO: 217 and/or SEQ ID NO: 218,
i: SEQ ID NO: 219 and/or SEQ ID NO: 220,
j: SEQ ID NO: 221 and/or SEQ ID NO: 222,
k: SEQ ID NO: 223 and/or SEQ ID NO: 224,
l: SEQ ID NO: 225 and/or SEQ ID NO: 226,
m: SEQ ID NO: 227 and/or SEQ ID NO: 228,
n: SEQ ID NO: 229 and/or SEQ ID NO: 230,
o: SEQ ID NO: 231 and/or SEQ ID NO: 232,
p: SEQ ID NO: 233 and/or SEQ ID NO: 234,
q: SEQ ID NO: 235 and/or SEQ ID NO: 236, and
r: SEQ ID NO: 237 and/or SEQ ID NO: 238, and
aa: SEQ ID NO: 515 and/or SEQ ID NO: 533,
dd: SEQ ID NO: 518 and/or SEQ ID NO: 534,
pp: SEQ ID NO: 530 and/or SEQ ID NO: 535,
even more preferably a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism, selected from Group A consisting of pairs of the base sequences containing a single nucleotide polymorphism listed above or a complementary sequence thereto, or a partial sequence thereof, and/or a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a base sequence containing a base sequence selected from Group B consisting of pairs of the base sequences listed above or a complementary sequence thereto, wherein the kit is a kit corresponding to ten or more different single nucleotide polymorphisms thereof, and
even more preferably a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism, selected from Group A consisting of pairs of the base sequences containing a single nucleotide polymorphism listed above or a complementary sequence thereto, or a partial sequence thereof, and/or a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a base sequence containing a base sequence selected from Group B consisting of pairs of the base sequences listed above or a complementary sequence thereto, wherein the kit is a kit corresponding to all the different single nucleotide polymorphisms thereof.
In addition, it is preferable that the single nucleotide polymorphisms to be used in combination are those that are not in the state of linkage disequilibrium, and from this viewpoint, in all the embodiments of the combinations mentioned above, supposing that, in Group A, a group composed of a base sequence containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
a: SEQ ID NO: 203 and/or SEQ ID NO: 204, and
b: SEQ ID NO: 205 and/or SEQ ID NO: 206,
or a complementary sequence thereto, or a partial sequence thereof, is named as a base sequence of Group 1,
a group composed of a base sequence containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
c: SEQ ID NO: 207 and/or SEQ ID NO: 208, and
d: SEQ ID NO: 209 and/or SEQ ID NO: 210,
or a complementary sequence thereto, or a partial sequence thereof, is named as a base sequence of Group 2,
a group composed of a base sequence containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
j: SEQ ID NO: 221 and/or SEQ ID NO: 222,
k: SEQ ID NO: 223 and/or SEQ ID NO: 224, and
l: SEQ ID NO: 225 and/or SEQ ID NO: 226,
or a complementary sequence thereto, or a partial sequence thereof, is named as a base sequence of Group 3,
a group composed of a base sequence containing a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is a base sequence belonging to the group consisting of:
o: SEQ ID NO: 231 and/or SEQ ID NO: 232,
p: SEQ ID NO: 233 and/or SEQ ID NO: 234,
q: SEQ ID NO: 235 and/or SEQ ID NO: 236, and
r: SEQ ID NO: 237 and/or SEQ ID NO: 238,
or a complementary sequence thereto, or a partial sequence thereof, is named as a base sequence of Group 4, and
that in Group B,
a group composed of a base sequence containing a base sequence belonging to the group consisting of:
aa: SEQ ID NO: 515 and/or SEQ ID NO: 533, and
or a complementary sequence thereto, is named as a base sequence of Group 1,
a group composed of a base sequence containing a base sequence belonging to the group consisting of:
dd: SEQ ID NO: 518 and/or SEQ ID NO: 534
or a complementary sequence thereto, is named as a base sequence of Group 2,
a group composed of a base sequence containing a base sequence belonging to the group consisting of:
or a complementary sequence thereto, is named as a base sequence of Group 3, and
a group composed of a base sequence containing a base sequence belonging to the group consisting of:
pp: SEQ ID NO: 530 and/or SEQ ID NO: 535,
or a complementary sequence thereto, is named as a base sequence of Group 4,
it is preferable to use
a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising any one of the base sequences in Group 1 when the base sequences belonging to Group 1 are used,
a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising any one of the base sequences in Group 2 when the base sequences belonging to Group 2 are used,
a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising any one of the base sequences in Group 3 when the base sequences belonging to Group 3 are used, and/or
a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising any one of the base sequences in Group 4 when the base sequences belonging to Group 4 are used.
In all the combinations mentioned above, in Group A, preferred is a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising an allele of a single nucleotide polymorphism located on a 31st base of a base sequence, wherein the base sequence is a base sequence containing a single nucleotide polymorphism, selected from the group consisting of the following base sequences containing a single nucleotide polymorphism:
SEQ ID NO: 203, SEQ ID NO: 206, SEQ ID NO: 208, SEQ ID NO: 209, SEQ ID NO: 211, SEQ ID NO: 214, SEQ ID NO: 216, SEQ ID NO: 218, SEQ ID NO: 219, SEQ ID NO: 221, SEQ ID NO: 224, SEQ ID NO: 226, SEQ ID NO: 228, SEQ ID NO: 229, SEQ ID NO: 231, SEQ ID NO: 234, SEQ ID NO: 235, and SEQ ID NO: 238,
or a complementary sequence thereto, or a partial sequence thereof, and in Group B, preferred is a kit of detecting a single nucleotide polymorphism associated with the onset of glaucoma or a kit of predicting an onset risk of glaucoma, using a nucleic acid molecule comprising a base sequence containing a base sequence selected from the group consisting of the following base sequences:
SEQ ID NO: 533, SEQ ID NO: 516, SEQ ID NO: 517, SEQ ID NO: 518, SEQ ID NO: 519, SEQ ID NO: 520, SEQ ID NO: 521, SEQ ID NO: 522, SEQ ID NO: 523, SEQ ID NO: 524, SEQ ID NO: 525, SEQ ID NO: 526, SEQ ID NO: 527, SEQ ID NO: 528, SEQ ID NO: 529, SEQ ID NO: 535, SEQ ID NO: 531, and SEQ ID NO: 532,
or a complementary sequence thereto.
Here, these base sequences are sequences corresponding to a nucleic acid molecule used in the detection of a high-risk allele.
(Method of Predicting Onset Risk of Glaucoma, Including Performing the Predicting Risk in Two-Steps or Multi-Steps)
When a prediction of an onset risk of glaucoma using a single nucleotide polymorphism in the present invention is carried out, it can be performed in two or more steps as follows; candidates who are considered that precise prediction of an onset risk of glaucoma is necessary are selected, and the candidates are subjected to detailed prediction of a risk.
In a case where prediction of a risk is performed in two or more multi-steps, first, prediction of an onset risk of glaucoma mentioned above is preformed on at least one single nucleotide polymorphism in the present invention, preferably any one or several single nucleotide polymorphisms, and subsequently, prediction of detailed risks may be performed using a combination of the single nucleotide polymorphisms of the present invention mentioned above. The number of combinations may be further increased as occasion demands, whereby precision of the prediction of a risk can also be improved. As described above, by performing prediction of a risk in two or more multi-steps, the reduction in costs for performing the prediction of a risk and the prediction of a risk in a high precision can be both accomplished.
The prediction of a risk in an initial step may be a convenient method of predicting a risk. For example, a method of predicting a risk so that an immobilized probe capable of detecting at least one of the single nucleotide polymorphisms, preferably any one or several single nucleotide polymorphisms, is immobilized in a manner that at least one of the single nucleotide polymorphisms in the present invention is detectable is a convenient method, and can be realized at a low cost. Here, as to a method for nucleic acid extraction in this case, a kit that can be realized according to a known technique, or a commercially available simple kit for nucleic acid extraction can be used. It is convenient to use a method including the steps of using, for example, an enzyme-labeled probe as the immobilized probe used in the prediction of a risk as described above, and detecting the probe according to a colorimetric method. As to the samples used in the detection, those that are obtained in a relatively low penetration, such as saliva, oral mucosa cells, urine, hair root, blood or white blood cells are preferred.
The prediction of a risk in a next step may be a method of predicting a risk with an emphasis on precision. For example, the detection of a single nucleotide polymorphism associated with the onset of glaucoma is carried out by combining two or more single nucleotide polymorphisms in the present invention mentioned above, whereby prediction of a risk may be performed in a high precision.
By performing prediction of a risk in two or more multi-steps, the precision for prediction of a risk can be improved, while reducing the costs or lowering a burden on a subject at an initial step to a minimum level.
According to the method disclosed in the present invention, the determination can be made that an individual who has an allele or genotype on the genome that is identified in a high frequency in glaucoma patients disclosed in the present invention has a high risk of the onset of glaucoma in future, and that an individual who does not have an allele or genotype that is identified in a high frequency in the glaucoma patients has a low risk of the onset of glaucoma in future.
In addition, an individual having an allele or genotype on the genome that is identified in a high frequency in glaucoma patients disclosed in the present invention has a possibility of being in an early stage of glaucoma that is difficult to be diagnosed according to a simple method of determination of glaucoma, such as measurement of intraocular pressure or examination of ocular fundus, and that is diagnosed for the first time after performing visual field examination. Therefore, a single nucleotide polymorphism in the present invention is detected, whereby whether or not the visual field examination is required can be screened. On the other hand, in a case where an individual who is suspected of being glaucoma has an allele or genotype associated with glaucoma in the present invention on the genome, there is a high probability that the individual who is suspected of being glaucoma is to be diagnosed as glaucoma.
The present invention will be specifically described hereinbelow by Examples, and Examples are given for illustration purposes for a better comprehension of the present invention, without intending to limit the scope of the present invention thereto. Here, in the following Examples, as to generally used molecular biological methods that are not specifically described in detail, methods and conditions described in a textbook such as Molecular Cloning (Joseph Sambrook et al., Molexular CloningβA Laboratory Manual, 3rd Edition, Cold Spring Harbor Laboratory Press, 2001) or the like are used.
In the present invention, a total DNA was extracted from blood of each of patients diagnosed as glaucoma, and non-patients diagnosed as being not with glaucoma and determined not to have any family history in glaucoma according to a medical interview, and gene loci associated with the disease were analyzed based on about 500,000 known single nucleotide polymorphisms on the human genome as an index to determine an association of a single nucleotide polymorphism and the disease. In addition, patients with fast progression of glaucoma, i.e. progressive glaucoma cases, and patients with slow progression of glaucoma, i.e. nonprogressive glaucoma cases were subjected to the identification of a single nucleotide polymorphism and the association of the single nucleotide polymorphism with the progression in the same manner as above.
In DNA extraction from specimens, a commercially available automated nucleic acid extraction apparatus (QUIAGEN, BIOROBOT (registered trademark) EZ1), and a kit for extraction of a nucleic acid (EZ1 DNA Blood 350 ΞΌl Kit) compatible to the extraction apparatus and in which nucleic acids absorbed to magnetic beads were collected by a magnetic force were used. A total DNA was extracted in accordance with the instruction manuals of the apparatus and kit. According to the present method, a total DNA of about 5 ΞΌg was obtained from 350 ΞΌL of a blood specimen.
In the analysis of single nucleotide polymorphisms, a commercially available microarray type single nucleotide polymorphism analysis kit (Affimetrix (GeneChip(registered trademark) Human Mapping 500K) (hereinafter also referred to as microarray) capable of analyzing about 500,000 known single nucleotide polymorphisms on the human genome was used. In the detection of single nucleotide polymorphisms, a scanner (Affimetrix (GeneChip(registered trademark) Scanner 3000)) compatible to the kit was used. In the analysis of single nucleotide polymorphisms, a specialized analysis software (Affimetrix (GTYPE(registered trademark))) was used.
The total DNA extracted in Example 1 was treated in accordance with the instruction manuals of the kit and apparatus, and applied to a microarray, and a single nucleotide polymorphism existing on the DNA extracted from the specimen was analyzed. Briefly explaining, a sample obtained by treating 250 ng of a total DNA with a restriction enzyme NspI and a sample obtained by treating 250 ng of a total DNA with a restriction enzyme StyI were prepared, and amplified by a PCR method with adaptors bound to the protruding ends of each of the samples. A PCR product was collected, and fragmented with DNaseI, and the ends of the fragmented PCR products were biotin-labeled using the labeling reagent contained in the kit. A buffer for hybridization was added to the PCR products that were already fragmented at both ends and labeled, the mixture was heat-treated at 99Β° C. for 10 minutes, and incubated at 49Β° C. for 1 minute, and the resulting mixture was injected to a microarray for NspI-treated sample or a microarray for StyI-treated sample depending on a firstly treated restriction enzyme, and hybridized at 49Β° C. for 16 to 18 hours. After the termination of hybridization, the microarray was stained with streptavidin-phycoerythrin. A fluorescence from phycoerythrin bound via biotin and streptavidin to DNA ends of samples hybridized with an immobilized allele-specific probe was read using the scanner mentioned above, and analyzed with the software mentioned above. Probes corresponding to about 250,000 single nucleotide polymorphisms each are previously immobilized to the microarray for NspI-treated sample and the microarray for StyI-treated sample, respectively, and analytical results for about 500,000 single nucleotide polymorphisms per one sample were obtained by combination of both the results. According to the present method, opposite alleles of each of the single nucleotide polymorphisms were read with a single operation, and consequently, a genotype was determined. In this case, it was determined that the genotype was a heterozygote in a case where both signals from each of the alleles constituting a single nucleotide polymorphism were detected, and that the genotype was a homozygote of the detected allele in a case where only either one of the signals was detected.
Here, in accordance with the instruction manual of the kit, as the probe immobilized to the kit, a probe for a sense strand or a probe for an antisense strand of the genome is used. In addition, according to the datasheet of the kit, the determination results for the present kit using 270 samples and those in HapMap are compared for single nucleotide polymorphisms overlapping between single nucleotide polymorphisms reported in the HapMap project and single nucleotide polymorphisms in the kit. As a result, a concordance rate of the single nucleotide polymorphisms shows 99% or more.
The comparison on single nucleotide polymorphisms associated with a disease was made in accordance with the method used in the studies on genes responsible for age-related macular degeneration by Klein et al (Science, 308, 385, 2005).
Primary open-angle glaucoma patients and normal tension glaucoma patients that were diagnosed on the basis of Guidelines offered by Japan Glaucoma Society were assigned to a glaucoma patient group, and healthy individuals that were confirmed to have no family history of glaucoma according to a medical interview were assigned to a non-patient group. Blood donated under the consent on free will of the participants after having sufficiently explained the contents of studies from 418 cases of the glaucoma patient group and 300 controls of the non-patient group was used as specimens, a total DNA was extracted from the specimens according to the method described in Example 1, and the analysis of single nucleotide polymorphisms was performed according to the method described in Example 2. The analytical results of a single nucleotide polymorphism obtained in each of the patients were stored in the Laboratory Information Management System (World Fusion, LaboServer) adopting a relational database. A specialized analysis program for a single nucleotide polymorphism was created and loaded within the system, and the analysis was performed as follows: A single nucleotide polymorphism considered to have a high experimental reliability was extracted by rejecting a single nucleotide polymorphism having a call rate of less than 90% in both the glaucoma patient group and the non-patient group, a single nucleotide polymorphism having a difference in call rates between the glaucoma patient group and the non-patient group by 5% or more, a single nucleotide polymorphism having a minor allele frequency of less than 5%, and a single nucleotide polymorphism that is determined to deviate from the Hardy-Weinberg's equilibrium under conditions of a p-value of 1Γ10β4 or less according to a chi-square test, and allele frequencies and genotype frequencies of the single nucleotide polymorphisms were compared between the groups. The allele frequencies and the genotype frequencies were statistically compared according to the chi-square test. As to single nucleotide polymorphisms showing a p-value of 1Γ10β3 or less, cluster images serving as a basis for the determination of a genotype were confirmed. In a case where the determination of a genotype was made regardless of unclearness of the separation among clusters, the single nucleotide polymorphism was considered to be a non-subject of the analysis. In other words, the errors in the determination of a genotype were excluded by this step. The evaluation of the cluster was performed without informing the names of single nucleotide polymorphisms and the critical rates. Single nucleotide polymorphisms of which allele or genotype shows association with glaucoma at a p-value of 1Γ10β4 or less, i.e. βlog P of 4 or more are listed in Tables 1 to 2. Here, the odds ratio for association of an allele with a disease, and the odds ratio for association of a genotype with a disease in each of the tables, respectively, were calculated on the basis of the following formulas (1) to (5).
Allele Frequency=Number of Detection of an Allele in Group/Total Number of Detection of Alleles in Groupββformula (1)
Genotype Frequency=Number of Detection of a Genotype in Group/Total Number of Detection of Genotypes in Groupββformula (2)
Odds Ratio for Allele=[(Number of Detection of an Allele Identified in High Frequency in Glaucoma Patient Group, in Glaucoma Patient Group)/(Number of Detection of an Allele Opposite to the Allele Identified in High Frequency in Glaucoma Patient Group, in Glaucoma Patient Group)]/[(Number of Detection of the Allele Identified in High Frequency in Glaucoma Patient Group, in Non-Patient Group)/(Number of Detection of the Allele Opposite to the Allele Identified in High Frequency in Glaucoma Patient Group, in Non-Patient Group)]ββformula (3)
Odds Ratio for Genotype of Homozygote=[(Number of Detection of a Genotype Having Homozygote of an Allele Identified in High Frequency in Glaucoma Patient Group, in Glaucoma Patient Group)/(Number of Detection of a Genotype Having Homozygote of an Allele Identified in High Frequency in Non-Patient Group, in Glaucoma Patient Group)]/[(Number of Detection of the Genotype Having Homozygote of the Allele Identified in High Frequency in Glaucoma Patient Group, in Non-Patient Group)/(Number of Detection of the Genotype Having Homozygote of the Allele Identified in High Frequency in Non-Patient Group, in Non-Patient Group)]ββformula (4)
Odds Ratio for Genotype of Heterozygote=[(Number of Detection of a Genotype of Heterozygote in Glaucoma Patient Group)/(Number of Detection of a Genotype Having Homozygote of an Allele Identified in High Frequency in Non-Patient Group, in Glaucoma Patient Group)]/[(Number of Detection of the Genotype Having Homozygote in Non-Patient Group)/(Number of Detection of the Genotype Having Homozygote of the Allele Identified in High Frequency in Non-Patient Group, in Non-Patient Group)]ββformula (5)
| TABLE 1 | |||||||
| High-Risk | |||||||
| Allele | High-Risk | ||||||
| Frequency | Allele | ||||||
| Critical | in | Frequency | |||||
| rate | Glaucoma | in Non- | |||||
| Allele 1/ | Chromo- | Physical | Allele | Patient | Patient | ||
| dbSNP ID | Allele 2 | Exon, Intron | some | Location | (βlogP) | Group | Group |
| rs12632110 | A/G | SEMA3F Intron18 (NM_004186.2) | 3 | 50199229 | 4.27 | 0.54 | 0.44 |
| rs2233476 | A/C | CYB561D2 Exon1 (NM_007022.3) | 3 | 50363387 | 5.57 | 0.55 | 0.42 |
| rs9852677 | C/T | GNA12 Intron4 (NM_002070.1) | 3 | 50266621 | 5.27 | 0.56 | 0.44 |
| rs2236944 | G/T | GNA12 Intron4 (NM_002070.1) | 3 | 50267197 | 5.00 | 0.55 | 0.43 |
| rs6786523 | A/G | CACNA2D2 Intron2 (NM_006030.1) | 3 | 50499225 | 4.05 | 0.60 | 0.49 |
| rs1467913 | G/T | CACNA2D2 Intron2 (NM_006030.1) | 3 | 50500021 | 4.22 | 0.60 | 0.50 |
| rs2004243 | A/G | LOC51337 + 641 bp (NM_016647.1) | 8 | 143815988 | 4.46 | 0.45 | 0.34 |
| rs3761980 | C/T | SLC26A8 β 1529 bp (NM_052961.2), | 6 | 36101884 | 4.12 | 0.93 | 0.87 |
| SLC26A8 β 1636 bp (NM_138718.1) | |||||||
| rs16884919 | A/G | MAPK14 Intron10 (NM_001315.1), | 6 | 36179495 | 4.12 | 0.93 | 0.87 |
| MAPK14 Intron10 (NM_139012.1), | |||||||
| MAPK14 Intron9 (NM_139014.1), | |||||||
| MAPK14 + 982 bp (NM_139013.1) | |||||||
| rs16883860 | C/T | MAPK Intron1 (NM_139013.1), | 6 | 36110440 | 4.42 | 0.94 | 0.87 |
| MAPK Intron1 (NM_001315.1), | |||||||
| MAPK Intron1 (NM_139012.1), | |||||||
| MAPK Intron1 (NM 139014.1) | |||||||
| rs10513095 | G/T | CLSTN2 Intron1 (NM_022131.1) | 3 | 141219021 | 4.52 | 0.84 | 0.75 |
| rs7081455 | A/C | PLXDC2 + 69770 bp (NM_032812.7) | 10 | 20678891 | 4.33 | 0.83 | 0.74 |
| rs7850541 | C/T | GBGT1 β 11253 bp (NM_021996.3) | 9 | 133080108 | 4.15 | 0.76 | 0.66 |
| rs10116267 | C/T | PSAT1 Intron5 (NM_021154.3), | 9 | 78151286 | 4.24 | 0.78 | 0.69 |
| PSAT1 Intron5 (NM_058179.2) | |||||||
| rs10116231 | A/G | PSAT1 Intron5 (NM_021154.3), | 9 | 78151153 | 4.11 | 0.78 | 0.69 |
| PSAT1 Intron5 (NM_058179.2) | |||||||
| rs6813301 | G/T | MGC45800 + 203455 bp (NM_178838.2) | 4 | 183234501 | 4.16 | 0.12 | 0.06 |
| rs11945595 | C/T | MGC45800 + 201900 bp (NM_178838.2) | 4 | 183236056 | 4.07 | 0.12 | 0.06 |
| rs2049723 | A/G | SPON1 β 17894 bp (NM_006108.1) | 11 | 13922920 | 4.78 | 0.76 | 0.65 |
| rs1159623 | C/G | CNTN5 Intron2 (NM_014361.2), | 11 | 9877941 | 4.18 | 0.45 | 0.34 |
| CNTN5 Intron2 (NM_175566.1) | |||||||
| rs7109406 | A/C | CNTN5 Intron2 (NM_014361.2), | 11 | 98867701 | 4.17 | 0.45 | 0.35 |
| CNTN5 Intron2 (NM_175566.1) | |||||||
| Critical rate, | Odds Ratio | Odds Ratio | Sequence | Sequence | ||||
| High-Risk | Odds Ratio | Genotype | (Heterozygote1) | (Heterozygote) | Containing | Containing | ||
| dbSNP ID | Allele | (Formula 3) | (-logP) | (Formula 4) | (Formula 5) | Allele 1 | Allele 2 | |
| rs12632110 | Allele 1 | 1.54 | 3.60 | 2.34 | 1.71 | SEQ ID NO: 1β | SEQ ID NO: 2β | |
| rs2233476 | Allele 1 | 1.66 | 4.91 | 2.74 | 1.84 | SEQ ID NO: 3β | SEQ ID NO: 4β | |
| rs9852677 | Allele 2 | 1.63 | 4.62 | 2.70 | 1.80 | SEQ ID NO: 5β | SEQ ID NO: 6β | |
| rs2236944 | Allele 2 | 1.61 | 4.41 | 2.60 | 1.84 | SEQ ID NO: 7β | SEQ ID NO: 8β | |
| rs6786523 | Allele 1 | 1.53 | 3.60 | 2.46 | 1.80 | SEQ ID NO: 9β | SEQ ID NO: 10 | |
| rs1467913 | Allele 2 | 1.54 | 3.73 | 2.49 | 1.79 | SEQ ID NO: 11 | SEQ ID NO: 12 | |
| rs2004243 | Allele 1 | 1.58 | 3.85 | 2.25 | 1.78 | SEQ ID NO: 13 | SEQ ID NO: 14 | |
| rs3761980 | Allele 2 | 2.05 | 3.48 | 6.40 | 3.13 | SEQ ID NO: 15 | SEQ ID NO: 16 | |
| rs16884919 | Allele 2 | 2.05 | 3.48 | 6.40 | 3.13 | SEQ ID NO: 17 | SEQ ID NO: 18 | |
| rs16883860 | Allele 2 | 2.14 | 3.74 | 6.41 | 3.00 | SEQ ID NO: 19 | SEQ ID NO: 20 | |
| rs10513095 | Allele 2 | 1.73 | 3.73 | 3.02 | 1.74 | SEQ ID NO: 21 | SEQ ID NO: 22 | |
| rs7081455 | Allele 1 | 1.70 | 3.91 | 1.91 | 0.98 | SEQ ID NO: 23 | SEQ ID NO: 24 | |
| rs7850541 | Allele 1 | 1.60 | 3.89 | 3.35 | 2.33 | SEQ ID NO: 25 | SEQ ID NO: 26 | |
| rs10116267 | Allele 1 | 1.63 | 3.50 | 2.18 | 1.24 | SEQ ID NO: 27 | SEQ ID NO: 28 | |
| rs10116231 | Allele 2 | 1.61 | 3.37 | 2.18 | 1.26 | SEQ ID NO: 29 | SEQ ID NO: 30 | |
| rs6813301 | Allele 2 | 2.24 | 3.67 | 2.07 | 2.45 | SEQ ID NO: 31 | SEQ ID NO: 32 | |
| rs11945595 | Allele 2 | 2.24 | 3.57 | 2.04 | 2.45 | SEQ ID NO: 33 | SEQ ID NO: 34 | |
| rs2049723 | Allele 1 | 1.66 | 3.96 | 2.87 | 1.83 | SEQ ID NO: 35 | SEQ ID NO: 36 | |
| rs1159623 | Allele 2 | 1.55 | 3.88 | 2.21 | 1.84 | SEQ ID NO: 37 | SEQ ID NO: 38 | |
| rs7109406 | Allele 2 | 1.55 | 4.01 | 2.17 | 1.89 | SEQ ID NO: 39 | SEQ ID NO: 40 | |
| TABLE 2 | |||||||
| High-Risk | High-Risk | ||||||
| Allele | Allele | ||||||
| Critical | Frequency | Frequency | |||||
| Rate | in Glaucoma | in Non- | |||||
| Allele 1/ | Chromo- | Physical | Allele | Patient | Patient | ||
| dbSNP ID | Allele 2 | Exon, Intron | some | Location | (βlogP) | Group | Group |
| rs4763559 | C/G | KLRA1 + 10130 bp (NM_006611.1) | 12 | 10622909 | 4.48 | 0.75 | 0.65 |
| rs4763531 | A/G | KLRA1 + 374 bp (NM_006611.1) | 12 | 10629565 | 4.11 | 0.74 | 0.65 |
| (rs9739469) | |||||||
| rs2125094 | C/T | KLRA1 + 11027 bp (NM_006611.1) | 12 | 10622012 | 4.38 | 0.74 | 0.64 |
| rs2233476 | A/C | CYB561D2 Exon1 (NM_007022.3) | 3 | 50363387 | 5.57 | 0.55 | 0.42 |
| rs9852677 | C/T | GNA12 Intron4 (NM_002070.1) | 3 | 50266621 | 5.27 | 0.56 | 0.44 |
| rs2236944 | G/T | GNA12 Intron4 (NM_002070.1) | 3 | 50267197 | 5.00 | 0.55 | 0.43 |
| rs4430902 | A/G | GULP1 Intron1 (NM_016315.1) | 2 | 189010443 | 3.57 | 0.85 | 0.77 |
| rs10804020 | C/T | GULP1 Intron1 (NM_016315.1) | 2 | 189028382 | 2.93 | 0.84 | 0.77 |
| rs13137759 | C/T | DKFZp686L1814 Intron2 (NM_194282.1) | 4 | 84262335 | 3.39 | 0.82 | 0.74 |
| rs11737784 | A/C | DKFZp686L1814 β 11708bp (NM_194282.1) | 4 | 84300869 | 3.15 | 0.81 | 0.74 |
| rs9498701 | C/T | GRIK2 Intron6 (NM_021956.2), | 6 | 102336911 | 0.93 | 0.59 | 0.55 |
| GRIK2 Intron6 (NM_175768.1) | |||||||
| rs9322609 | A/G | GRIK2 Intron8 (NM_021956.2), | 6 | 102357540 | 0.67 | 0.58 | 0.55 |
| GRIK2 Intron8 (NM_175768.1) | |||||||
| rs10130333 | A/C | CHES1 Intron2 (NM_005197.1) | 14 | 88929499 | 3.97 | 0.69 | 0.59 |
| rs11133030 | C/T | FBXO8 + 139977 bp (NM_012180.1) | 4 | 175392565 | 2.16 | 0.70 | 0.63 |
| rs2220757 | A/C | BARX2 + 108243 bp (NM_003658.3) | 11 | 128935268 | 1.34 | 0.71 | 0.66 |
| rs7109406 | A/C | CNTN5 Intron2 (NM_014361.2), | 11 | 98867701 | 4.17 | 0.45 | 0.35 |
| CNTN5 Intron2 (NM_175566.1) | |||||||
| rs2347897 | C/T | LOC402300 Intron2 (XM_377974), | 7 | 133937842 | 2.98 | 0.39 | 0.31 |
| CALD1 Intron1 (NM_004342.5), | |||||||
| CALD1 Intron1 (NM_033138.2), | |||||||
| CALD1 Intron1 (NM_033157.2), | |||||||
| CALD1 β 95572 bp (NM_033139.2), | |||||||
| CALD1 β 95572 bp (NM_033140.2), | |||||||
| rs7794696 | A/G | LOC402300 Intron1 (XM_377974), | 7 | 133961274 | 3.29 | 0.39 | 0.30 |
| CALD1 Intron1 (NM_004342.5), | |||||||
| CALD1 Intron1 (NM_033138.2) | |||||||
| CALD1 Intron1 (NM_033157.2) | |||||||
| CALD1 β 72140 bp (NM_033139.2), | |||||||
| CALD1 β 72140 bp (NM_033140.2) | |||||||
| rs803594 | C/G | VGLL2 β 7136 bp (NM_153453.1), | 6 | 117686278 | 0.94 | 0.21 | 0.18 |
| VGLL2 β 7152 bp (NM_182645.2) | |||||||
| rs762164 | A/C | RUNX1 Intron5 (NM_001754.2) | 21 | 35140644 | 0.52 | 0.44 | 0.42 |
| Odds | Odds | |||||||
| Critical | Ratio | Ratio | ||||||
| High- | Odds | Rate | Homo- | (Hetero- | Sequence | Sequence | ||
| Risk | Ratio | Genotype | zygote1 | zygote) | Containing | Containing | ||
| dbSNP ID | Allele | (Formula 3) | (β1ogP) | (Formula 4) | (Formula 5) | Allele 1 | Allele 2 | |
| rs4763559 | Allele 2 | 1.62 | 3.70 | 2.32 | 1.34 | SEQ ID NO: 41 | SEQ ID NO: 42 | |
| rs4763531 | Allele 1 | 1.58 | 3.31 | 2.29 | 1.39 | SEQ ID NO: 43 | SEQ ID NO: 44 | |
| (rs9739469) | ||||||||
| rs2125094 | Allele 1 | 1.61 | 3.59 | 2.34 | 1.37 | SEQ ID NO: 45 | SEQ ID NO: 46 | |
| rs2233476 | Allele 1 | 1.66 | 4.91 | 2.75 | 1.84 | SEQ ID NO: 47 | SEQ ID NO: 48 | |
| rs9852677 | Allele 2 | 1.63 | 4.62 | 2.70 | 1.80 | SEQ ID NO: 49 | SEQ ID NO: 50 | |
| rs2236944 | Allele 2 | 1.61 | 4.41 | 2.60 | 1.84 | SEQ ID NO: 51 | SEQ ID NO: 52 | |
| rs4430902 | Allele 1 | 1.64 | 4.48 | 1.14 | 0.54 | SEQ ID NO: 53 | SEQ ID NO: 54 | |
| rs10804020 | Allele 1 | 1.54 | 4.10 | 1.02 | 0.50 | SEQ ID NO: 55 | SEQ ID NO: 56 | |
| rs13137759 | Allele 2 | 1.58 | 4.23 | 1.32 | 0.64 | SEQ ID NO: 57 | SEQ ID NO: 58 | |
| rs11737784 | Allele 2 | 1.54 | 4.14 | 1.25 | 0.61 | SEQ ID NO: 59 | SEQ ID NO: 60 | |
| rs9498701 | Allele 2 | 1.19 | 4.10 | 1.17 | 0.57 | SEQ ID NO: 61 | SEQ ID NO: 62 | |
| rs9322609 | Allele 2 | 1.14 | 4.04 | 1.11 | 0.55 | SEQ ID NO: 63 | SEQ ID NO: 64 | |
| rs10130333 | Allele 1 | 1.54 | 4.36 | 2.73 | 2.46 | SEQ ID NO: 65 | SEQ ID NO: 66 | |
| rs11133030 | Allele 1 | 1.36 | 4.01 | 2.46 | 2.79 | SEQ ID NO: 67 | SEQ ID NO: 68 | |
| rs2220757 | Allele 2 | 1.26 | 4.03 | 0.95 | 0.50 | SEQ ID NO: 69 | SEQ ID NO: 70 | |
| rs7109406 | Allele 2 | 1.55 | 4.01 | 2.17 | 1.89 | SEQ ID NO: 71 | SEQ ID NO: 72 | |
| rs2347897 | Allele 1 | 1.45 | 4.05 | 1.58 | 2.02 | SEQ ID NO: 73 | SEQ ID NO: 74 | |
| rs7794696 | Allele 2 | 1.49 | 4.01 | 1.67 | 1.99 | SEQ ID NO: 75 | SEQ ID NO: 76 | |
| rs803594 | Allele 2 | 1.24 | 4.31 | 0.49 | 1.90 | SEQ ID NO: 77 | SEQ ID NO: 78 | |
| rs762164 | Allele 2 | 1.12 | 4.02 | 1.05 | 1.98 | SEQ ID NO: 79 | SEQ ID NO: 80 | |
Tables 1 and 2 list dbSNP ID number or Affimetrix Array ID number specifying known single nucleotide polymorphisms obtained, each of bases constituting Allele 1 and Allele 2, the exon, intron information (in a case where a single nucleotide polymorphism exists on a gene, the gene name and the exon or intron in which SNP exists are shown, and in a case where a single nucleotide polymorphism does not exist on a gene, neighboring genes and a distance between the gene and the single nucleotide polymorphism are shown), the chromosome number at which a single nucleotide polymorphism exists, the physical location of a single nucleotide polymorphism, the p-value for an allele according to a chi-square test (βlog P), the high-risk allele frequencies in the glaucoma patient group and the non-patient group, the type of the high-risk allele (indicating whether the high-risk allele is Allele 1 or Allele 2), the odds ratio for an allele, the p-value for a genotype according to a chi-square test (βlog P), the odds ratio for a genotype of a homozygote and the odds ratio for a genotype of a heterozygote, and SEQ ID NO of the sequence containing Allele 1 and Allele 2 in each of the polymorphic sites. Here, one of ordinary skill in the art can obtain the information for sequences or alleles of the single nucleotide polymorphisms from dbSNP ID number or Affimetrix array ID number mentioned above.
When the allele or genotype frequencies listed in Tables 1 to 2 were compared between the non-patients without family history and the glaucoma patients, a statistical difference was found. By determining an allele of any one of these single nucleotide polymorphisms, whether or not an allele that is identified in a higher frequency in the glaucoma patient group than that of the non-patient group exists in the sample can be determined.
Specifically, when a first single nucleotide polymorphism listed in Tables 1 and 2 is explained as an example, one polymorphic site exists in a nucleic acid molecule shown in SEQ ID NO: 1 or 2 occupying a gene locus homologous to each other. In detail, a single nucleotide polymorphism is associated with the onset of glaucoma, of which 31st base is either A (Allele 1) or G (Allele 2), wherein Allele 1 indicated as a high-risk allele, that is, an allele of being A in the single nucleotide polymorphism is identified in a high frequency in the glaucoma patient group. Further, using the odds ratio for an allele, or the odds ratio for a genotype of a homozygote and the odds ratio for a genotype of a heterozygote, the degree of which the risk of a disease increases can be predicted in a case of having the allele or genotype. Similarly, all the sequences disclosed in Tables 1 and 2 have a polymorphic site associated with glaucoma in the sequence, and one allele or at least one genotype in the polymorphic site is identified in a high frequency in the glaucoma patient group.
According to the above studies, 40 single nucleotide polymorphisms of which alleles or genotypes were associated with glaucoma at a p-value of 1Γ10β4 or less existing in clusters in relatively adjacent regions on the genome were found in 21 regions.
The allele or genotype identified in a high frequency in the glaucoma patient group of a single nucleotide polymorphism listed in Tables 1 and 2 can be used as a marker showing that an onset risk of glaucoma is high. On the other hand, an allele that is opposite to the allele or a genotype other than the genotype can be used as a marker showing that an onset risk of glaucoma is low.
Next, the surrounding regions and/or genes of the single nucleotide polymorphisms listed in Tables 1 and 2 were determined on the basis of the database provided by the HapMap project. In detail, regions in which single nucleotide polymorphisms that were considered to be in a linkage disequilibrium with the single nucleotide polymorphisms listed in Tables 1 and 2 exist were determined, on the basis of the linkage disequilibrium data in combination of the Japanese and the Chinese in the HapMap project.
Also, in a case where the single nucleotide polymorphism listed in Tables 1 and 2 exists in the linkage disequilibrium region containing the gene, the physical location and the gene name of the region were determined. On the other hand, in a case where the single nucleotide polymorphism listed in Tables 1 and 2 exists in the linkage disequilibrium region without containing the gene, only the physical location of the region was determined.
In addition, in a case where the single nucleotide polymorphism listed in Tables 1 and 2 exists on one gene beyond the linkage disequilibrium region, only the gene name was determined.
A single nucleotide polymorphism of which p-value is lowest in each region is considered to be a single nucleotide polymorphism representing the region. Tables 3 and 4 list a single nucleotide polymorphism representing the region, the chromosome number at which the region exists, the physical location of the region (start point and end point) and the gene name contained in the region.
| TABLE 3 | ||||
| Representative | ||||
| SNP (SNP with | ||||
| Lowest | Start Point of | End Point of | Genes | |
| p-value of | Physical | Physical | Contained in | |
| the Region) | Chromosome | Location | Location | the Region |
| rs16883860 | 6 | 36,014,367 | 36,248,614 | SLC26A8 |
| DPRXP2 | ||||
| MAPK14 | ||||
| MAPK13 | ||||
| rs2233476 | 3 | 49,952,596 | 50,516,561 | RBM6 |
| RBM5 | ||||
| SEMA3F | ||||
| GNAT1 | ||||
| SLC38A3 | ||||
| GNAI2 | ||||
| SEMA3B | ||||
| FLJ38608 | ||||
| C3orf45 | ||||
| IFRD2 | ||||
| HYAL3 | ||||
| NAT6 | ||||
| HYAL1 | ||||
| HYAL2 | ||||
| TUSC2 | ||||
| RASSF1 | ||||
| ZMYND10 | ||||
| TUSC4 | ||||
| CYB561D2 | ||||
| TMEM115 | ||||
| CACNA2D2 | ||||
| rs2004243 | 8 | 143,691,186 | 143,902,698 | ARC |
| AK092432 | ||||
| JRK | ||||
| PSCA | ||||
| LY6K | ||||
| LOC51337 | ||||
| C8orf55 | ||||
| SLURP1 | ||||
| LYPDC2 | ||||
| LYNX1 | ||||
| AK126845 | ||||
| LY6D | ||||
| LYPD2 | ||||
| rs10513095 | 3 | β | β | CLSTN2 |
| rs7081455 | 10 | 20,663,479 | 20,716,201 | no gene |
| rs7850541 | 9 | 134,756,557 | 135,192,865 | TSC1 |
| GFI1B | ||||
| LOC158078 | ||||
| GTF3C5 | ||||
| CEL | ||||
| CELP | ||||
| RALGDS | ||||
| GBGT1 | ||||
| OBP2B | ||||
| LOC286310 | ||||
| ABO | ||||
| LOC653163 | ||||
| SURF6 | ||||
| TABLE 4 | ||||
| Representative | ||||
| SNP (SNP with | Chro- | Start Point of | End Point of | |
| Lowest p-value of | mo- | Physical | Physical | Genes Contained |
| the Region) | some | Location | Location | in the Region |
| rs7109406 | 11 | β | β | CNTN5 |
| rs4763559 | 12 | 10,535,930 | 10,724,935 | LOC255308 |
| KLRA1 | ||||
| FLJ10292 | ||||
| STYK1 | ||||
| rs10116267 | 9 | β | β | PSAT1 |
| rs6813301 | 4 | 183,058,962 | 183,243,277 | LOC643296 |
| rs2049723 | 11 | 13,851,048 | 14,245,926 | SPON1 |
| rs9498701 | 6 | β | β | GRIK2 |
| rs2233476 | 3 | 49,952,596 | 50,516,561 | RBM6 |
| RBM5 | ||||
| SEMA3F | ||||
| GNAT1 | ||||
| SLC38A3 | ||||
| GNAI2 | ||||
| SEMA3B | ||||
| FLJ38608 | ||||
| C3orf45 | ||||
| IFRD2 | ||||
| HYAL3 | ||||
| NAT6 | ||||
| HYAL1 | ||||
| HYAL2 | ||||
| TUSC2 | ||||
| RASSF1 | ||||
| ZMYND10 | ||||
| TUSC4 | ||||
| CYB561D2 | ||||
| TMEM115 | ||||
| CACNA2D2 | ||||
| rs10130333 | 14 | 88,697,458 | 89,155,209 | CHES1 |
| LOC646224 | ||||
| CAP2P1 | ||||
| LOC400236 | ||||
| rs4430902 | 2 | 188,904,662 | 189,286,159 | GULP1 |
| rs13137759 | 4 | 83,800,064 | 84,215,995 | SCD4 |
| SEC31L1 | ||||
| THAP9 | ||||
| DKFZp686L1814 | ||||
| COPS4 | ||||
| rs11133030 | 4 | 175,234,727 | 175,450,910 | FBXO8 |
| KIAA1712 | ||||
| rs762164 | 21 | 35,049,200 | 35,343,511 | RUNX1 |
| rs7109406 | 11 | β | β | CNTN5 |
| rs2220757 | 11 | 128,920,427 | 128,953,084 | no gene |
| rs803594 | 6 | 117,682,814 | 117,853,711 | VGLL2 |
| ROS1 | ||||
| rs2347897 | 7 | β | β | CALD1 |
The region listed in Tables 3 and 4 is a region or gene considered to be linked with a single nucleotide polymorphism listed in Tables 3 and 4 which is associated with glaucoma in the present invention, and a single nucleotide polymorphism which exists in these regions or genes is considered to be linked with a single nucleotide polymorphism in the present invention. In other words, any single nucleotide polymorphisms which exist in these regions are linked with the single nucleotide polymorphism which exists in the region as listed in Tables 3 and 4, and any of these single nucleotide polymorphisms can be used in the prediction of a risk of glaucoma in the same manner.
Also, a single nucleotide polymorphism of which allele or genotype shows association with glaucoma at a p-value of 1Γ10β3 or less, i.e. βlog P of 3 or more, is also listed in Tables 5 to 25.
| TABLE 5 | ||||||||||
| High- | High- | |||||||||
| Risk | Risk | |||||||||
| Allele | Allele | Odds | Odds | |||||||
| Fre- | Fre- | Critical | Ratio | Ratio | ||||||
| Critical | quency in | quency | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | in Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (βlogP) | Group | Group | mula 3) | (βlogP) | mula 4) | mula 5) |
| rs2139539 | COL16A1 + 69 bp | 1 | 31,786,872 | 3.99 | 0.87 | 0.80 | 1.75 | 3.81 | 7.12 | 4.52 |
| (NM_001856.2) | ||||||||||
| rs693421 | ZP4 β 45155 bp | 1 | 234,425,131 | 3.53 | 0.55 | 0.45 | 1.48 | 3.77 | 2.14 | 2.02 |
| (NM_021186.2) | ||||||||||
| rs2038845 | CACNAIS Intron2 | 1 | 197,799,070 | 0.57 | 0.41 | 0.39 | 1.13 | 3.76 | 1.00 | 1.89 |
| (NM_000069.1) | ||||||||||
| rs4040617 | LOC284591 Intron2 | 1 | 819,185 | 0.24 | 0.17 | 0.15 | 1.09 | 3.68 ND | 0.75 | |
| (XM_211529) | ||||||||||
| rs540782 | ZP4 β 43104 bp | 1 | 234,423,080 | 3.43 | 0.56 | 0.46 | 1.47 | 3.52 | 2.09 | 1.96 |
| (NM_021186.2) | ||||||||||
| rs2040073 | LOC339442 β 148785 bp | 1 | 38,498,317 | 3.58 | 0.38 | 0.29 | 1.52 | 3.38 | 1.93 | 1.80 |
| (XM_378855) | ||||||||||
| rs547984 | ZP4 β 42951 bp | 1 | 234,422,927 | 3.48 | 0.55 | 0.46 | 1.47 | 3.35 | 2.10 | 1.88 |
| (NM_021186.2) | ||||||||||
| rs10798882 | PEF Intron1 | 1 | 31,777,640 | 3.52 | 0.86 | 0.79 | 1.67 | 3.35 | 6.05 | 3.84 |
| (NM_012392.1) | ||||||||||
| rs2499601 | ZP4 β 50960 bp | 1 | 234,430,936 | 3.24 | 0.55 | 0.46 | 1.45 | 3.23 | 2.05 | 1.89 |
| (NM_021186.2) | ||||||||||
| rs909002 | COLI6A1 Intron44 | 1 | 31,808,728 | 3.47 | 0.84 | 0.77 | 1.63 | 3.19 | 4.38 | 2.94 |
| (NM_001856.2) | ||||||||||
| rs2147798 | CACNA1S Intron3 | 1 | 197,793,475 | 1.22 | 0.56 | 0.51 | 1.22 | 3.14 | 1.58 | 2.09 |
| (NM_000069.1) | ||||||||||
| rs10752589 | CSF3R β 53414 bp | |||||||||
| (NM_000760.2), | ||||||||||
| CSF3R β 53414 bp | ||||||||||
| (NM_156038.2), | ||||||||||
| CSF3R β 53414 bp | ||||||||||
| (NM_156039.2), | ||||||||||
| CSF3R β 53414 bp | ||||||||||
| (NM_172313.1) | ||||||||||
| rs2236913 | PSEN2 Intron5 | 1 | 223,380,860 | 0.61 | 0.35 | 0.33 | 1.14 | 3.13 | 0.88 | 1.74 |
| (NM_000447.1), | ||||||||||
| PSEN2 Intron5 | ||||||||||
| (NM_012486.1) | ||||||||||
| rs10518601 | ELTD1 β 94220 bp | 1 | 79,312,758 | 0.27 | 0.79 | 0.78 | 1.08 | 3.08 | 3.51 | 4.57 |
| (XM_371262) | ||||||||||
| rs17102821 | ELTD1 β 89304 bp | 1 | 79,307,842 | 0.28 | 0.80 | 0.78 | 1.09 | 3.08 | 3.52 | 4.57 |
| (XM_371262) | ||||||||||
| rs7525498 | ELTD1 β 102412 bp | 1 | 79,320,950 | 0.30 | 0.80 | 0.78 | 1.09 | 3.04 | 3.53 | 4.54 |
| (XM_371262) | ||||||||||
| rs2359112 | MGC15882 + 194951 bp | 1 | 34,548,776 | 0.58 | 0.30 | 0.27 | 1.15 | 3.03 | 5.23 | 0.86 |
| (NM_032884.2) | ||||||||||
| rs1892116 | ELYS Intron2 | 1 | 243,406,363 | 3.15 | 0.75 | 0.67 | 1.49 | 2.91 | 2.89 | 2.07 |
| (NM_175865.1), | ||||||||||
| ELYS Intron2 | ||||||||||
| (NM_015446.1) | ||||||||||
| rs7524405 | PEF Intron1 | 1 | 31,777,672 | 3.27 | 0.84 | 0.77 | 1.59 | 2.89 | 3.77 | 2.54 |
| (NM_012392.1) | ||||||||||
| rs704709 | MGC39558 Intron8 | 1 | 231,947,005 | 3.45 | 0.61 | 0.52 | 1.48 | 2.83 | 2.20 | 1.39 |
| (NM_152490.1) | ||||||||||
| rs1951626 | SERPINC1 β 5704 bp | 1 | 170,623,758 | 3.34 | 0.38 | 0.30 | 1.49 | 2.66 | 2.33 | 1.43 |
| (NM_000488.1) | ||||||||||
| rs11163089 | MGC34032 Intron4 | 1 | 75,490,567 | 3.31 | 0.85 | 0.77 | 1.61 | 2.55 | 2.70 | 1.75 |
| (NM_152697.2) | ||||||||||
| rs10430126 | LOC388630 + 22072 bp | 1 | 47,934,070 | 3.10 | 0.64 | 0.55 | 1.45 | 2.54 | 2.08 | 1.33 |
| (XM_371250) | ||||||||||
| TABLE 6 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | Rate | (Homo- | (Hetero- | ||||
| Chro- | Rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | somes | Location | (βlogP) | Group | Group | mula 3) | (βlogP) | mula 4) | mula 5) |
| rs16865980 | RNF144 + 120346 bp (NM_014746.2) | 2 | 7,255,254 | 1.98 | 0.24 | 0.18 | 1.41 | 3.96 | 0.84 | 1.99 |
| rs4953262 | PRKCE Intron1 (NM_005400.2) | 2 | 45,952,444 | 0.15 | 0.53 | 0.52 | 1.04 | 3.75 | 1.01 | 0.53 |
| rs10170220 | GULP1 Intron2 (NM_016315.1) | 2 | 189,123,624 | 2.80 | 0.84 | 0.78 | 1.53 | 3.68 | 1.03 | 0.53 |
| rs6717705 | VIT Intron1 (NM_053276.2) | 2 | 36,838,198 | 2.80 | 0.88 | 0.82 | 1.60 | 3.62 | 18.77 | 14.09 |
| rs759428 | VIT Intron1 (NM_053276.2) | 2 | 36,844,694 | 2.76 | 0.88 | 0.82 | 1.59 | 3.58 | 18.68 | 14.12 |
| rs4670589 | VIT Intron1 (NM_053276.2) | 2 | 36,840,872 | 2.72 | 0.88 | 0.82 | 1.59 | 3.57 | 18.77 | 14.29 |
| rs10931358 | GULP1 Intron2 (NM_016315.1) | 2 | 189,096,087 | 2.69 | 0.84 | 0.77 | 1.52 | 3.55 | 1.02 | 0.53 |
| rs11124532 | VIT Intron1 (NM_053276.2) | 2 | 36,840,580 | 2.65 | 0.88 | 0.82 | 1.58 | 3.50 | 18.48 | 14.14 |
| rs828868 | MGC22014 Intron8 (XM_371501) | 2 | 74,236,159 | 3.37 | 0.66 | 0.57 | 1.47 | 3.48 | 2.06 | 1.10 |
| rs11677028 | LOC339789 Intron9 (NM_207358.1) | 2 | 8,309,297 | 1.34 | 0.71 | 0.66 | 1.26 | 3.45 | 2.50 | 2.92 |
| rs6431929 | LOC339789 + 41877 bp (NM_207358.1) | 2 | 8,255,994 | 1.22 | 0.69 | 0.65 | 1.24 | 3.43 | 2.32 | 2.78 |
| rs2421844 | SLC4A5 Intron5 (NM_033323.2), | 2 | 74,451,749 | 3.42 | 0.48 | 0.38 | 1.48 | 3.43 | 2.39 | 1.13 |
| SLC4A5 Intron5 (NM_133478.1), | ||||||||||
| SLC4A5 Intron5 (NM_133479.1), | ||||||||||
| SLC4A5 Intronl (NM_021196.2) | ||||||||||
| rs7559118 | FLJ34870 Intron4 (NM_207481.1) | 2 | 133,706,762 | 2.37 | 0.64 | 0.56 | 1.37 | 3.34 | 2.15 | 2.25 |
| rs17754672 | PELI1 β 61125 bp (NM_020651.2) | 2 | 64,312,259 | 2.49 | 0.24 | 0.17 | 1.49 | 3.27 | 6.36 | 1.11 |
| rs7584987 | QPCT + 129689 bp (NM_012413.2) | 2 | 37,641,805 | 2.56 | 0.44 | 0.37 | 1.39 | 3.26 | 2.40 | 1.03 |
| rs7571760 | CDC42EP3 + 127985 bp (NM_006449.3) | 2 | 37,654,409 | 3.06 | 0.40 | 0.31 | 1.46 | 3.13 | 2.69 | 1.17 |
| rs6724538 | QPCT + 127553 bp (NM_012413.2) | 2 | 37,639,669 | 3.33 | 0.42 | 0.32 | 1.48 | 3.12 | 2.49 | 1.16 |
| rs13387588 | SLC4A5 Intron2 (NM_033323.2), | 2 | 74,473,795 | 3.27 | 0.48 | 0.39 | 1.46 | 3.10 | 2.29 | 1.15 |
| SLC4A5 Intron2 (NM_133478.1), | ||||||||||
| SLC4A5 Intron2 (NM_133479.1), | ||||||||||
| SLC4A5 β 19990 bp (NM_021196.2) | ||||||||||
| rs7601299 | SP110 Intron3 (NM_004509.2), | 2 | 230,903,499 | 1.26 | 0.91 | 0.88 | 1.39 | 3.08 ND | ND | |
| SP110 Intron3 (NM_080424.1), | ||||||||||
| SP110 Intron3 (NM_004510.2) | ||||||||||
| TABLE 7 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quen-cy | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (βlogP) | Group | Group | mula 3) | (βlogP) | mula 4) | mula 5) |
| rs1198825 | RAMP1 β 3950 bp (NM_005855.1) | 2 | 238,546,337 | 3.82 | 0.44 | 0.34 | 1.52 | 3.07 | 2.23 | 1.57 |
| rs10930321 | STK39 β 102538 bp (NM_013233.1) | 2 | 169,032,150 | 3.70 | 0.44 | 0.34 | 1.51 | 3.04 | 2.42 | 1.40 |
| SNP_A β 2170785 | LTBP1 Intron2 (NM_206943.1), | 2 | 33,090,031 | 1.24 | 0.78 | 0.73 | 1.27 | 3.01 | 3.21 | 3.52 |
| LTBP1 β 181297 bp (NM_000627.2) | 2 | 33,090,031 | 1.24 | 0.78 | 0.73 | 1.27 | 3.01 | 3.21 | 3.52 | |
| rs12611812 | CNTNAP5 lntron3 (NM_130773.2), | 2 | 124,776,344 | 1.80 | 0.59 | 0.52 | 1.30 | 3.00 | 1.52 | 0.79 |
| CNTNAP5 Intron3 (NM_138996.1) | ||||||||||
| rs11123034 | CNTNAP5 Intron3 (NM_130773.2), | 2 | 124,776,617 | 1.80 | 0.59 | 0.52 | 1.30 | 3.00 | 1.52 | 0.79 |
| CNTNAP5 Intron3 (NM_138996.1) | ||||||||||
| rs7581836 | SLC4A5 β 7735 bp (NM_033323.2), | 2 | 74,489,052 | 3.18 | 0.49 | 0.40 | 1.45 | 2.95 | 2.24 | 1.17 |
| SLC4A5 β 7735 bp (NM_133478.1), | ||||||||||
| SLC4A5 β 7735 bp (NM_133479.1), | ||||||||||
| SLC4A5 β 35247 bp (NM_021196.2) | ||||||||||
| rs4430896 | KBTBD9 β 239670 bp (XM_496546) | 2 | 23,246,431 | 3.58 | 0.75 | 0.66 | 1.54 | 2.94 | 1.91 | 1.12 |
| rs7574012 | QPCT + 126765 bp (NM_012413.2) | 2 | 37,638,881 | 3.04 | 0.41 | 0.32 | 1.45 | 2.81 | 2.49 | 1.22 |
| rs9309484 | DCTN1 + 1471 bp (NM_023019.1), | 2 | 74,498,466 | 3.06 | 0.49 | 0.40 | 1.44 | 2.77 | 2.16 | 1.16 |
| DCTN1 + 1471 bp (NM_004082.2) | ||||||||||
| rs4666488 | ODD β 128777 bp (NM_145260.1) | 2 | 19,608,777 | 3.13 | 0.36 | 0.28 | 1.48 | 2.67 | 1.90 | 1.65 |
| rs3771738 | SLC4A5 lntron5 (NM_033323.2), | 2 | 74,452,572 | 3.04 | 0.48 | 0.40 | 1.43 | 2.65 | 2.14 | 1.19 |
| SLC4A5 Intron5 (NM_133478.1), | ||||||||||
| SLC4A5 Intron5 (NM_133479.1), | ||||||||||
| SLC4A5 Intronl (NM_021196.2) | ||||||||||
| rs4848607 | FLJ14816 β 60027 bp (NM_032845.1) | 2 | 120,999,954 | 3.28 | 0.75 | 0.66 | 1.50 | 2.58 | 2.33 | 1.61 |
| rs4668312 | LOC389059 β 20365 bp (XM_374017) | 2 | 171,432,334 | 3.04 | 0.74 | 0.65 | 1.47 | 2.58 | 1.80 | 1.08 |
| rs4411759 | HTLF Intron2 (NM_002158.2) | 2 | 48,468,133 | 3.16 | 0.55 | 0.46 | 1.44 | 2.57 | 2.07 | 1.57 |
| rs2268794 | SRD5A2 Intron1 (NM_000348.2) | 2 | 31,691,055 | 3.01 | 0.20 | 0.13 | 1.63 | 2.55 | 5.02 | 1.46 |
| rs11676168 | HTLF Intron1 (NM_002158.2) | 2 | 48,465,842 | 3.15 | 0.55 | 0.46 | 1.44 | 2.52 | 2.07 | 1.54 |
| TABLE 8 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (βlogP) | Group | Group | mula 3) | (βlogP) | mula 4) | mula 5) |
| rs4667649 | SPS + 8390 bp | 2 | 171,408,395 | 3.21 | 0.73 | 0.65 | 1.49 | 2.43 | 1.93 | 1.23 |
| (XM_371581) | ||||||||||
| rs6745010 | LRP1B + 648365 bp | 2 | 140,174,363 | 3.09 | 0.91 | 0.86 | 1.75 | 2.42 | 3.69 | 2.17 |
| (NM_018557.1) | ||||||||||
| rs2356232 | SP5 + 2276 bp | 2 | 171,412,281 | 3.19 | 0.73 | 0.65 | 1.49 | 2.41 | 1.92 | 1.23 |
| (XM_371581) | ||||||||||
| rs7608898 | SP5 + 23719 bp | 2 | 171,423,724 | 3.19 | 0.73 | 0.65 | 1.48 | 2.41 | 1.92 | 1.23 |
| (XM_371581) | ||||||||||
| rs10184230 | LOC389059 β 25058 bp | 2 | 171,427,641 | 3.19 | 0.73 | 0.65 | 1.48 | 2.41 | 1.92 | 1.23 |
| (XM_374017) | ||||||||||
| rs6433243 | LOC389059 β 21697 bp | 2 | 171,431,002 | 3.19 | 0.73 | 0.65 | 1.48 | 2.41 | 1.92 | 1.23 |
| (XM_374017) | ||||||||||
| rs10930437 | SP5 + 6843 bp | 2 | 171,406,848 | 3.15 | 0.73 | 0.64 | 1.48 | 2.40 | 1.92 | 1.22 |
| (XM_371581) | ||||||||||
| rs1566993 | DPP10 + 503127 bp | 2 | 116,821,290 | 3.13 | 0.96 | 0.91 | 2.10 | 2.40 | 4.55 | 2.22 |
| (NM_020868.1) | ||||||||||
| rs1990702 | LRP2 + 8346 bp | 2 | 169,802,022 | 3.04 | 0.71 | 0.63 | 1.46 | 2.36 | 2.00 | 1.32 |
| (NM_004525.1) | ||||||||||
| rs10183959 | NEDL2 Intron1 | 2 | 197,139,030 | 3.15 | 0.93 | 0.88 | 1.89 | 2.35 | 3.17 | 1.72 |
| (XM_038999) | ||||||||||
| rs6746374 | LOC389059 β 7686 bp | 2 | 171,445,013 | 3.03 | 0.74 | 0.66 | 1.47 | 2.34 | 1.95 | 1.25 |
| (XM_374017) | ||||||||||
| rs6599252 | SCN10A Intron12 | 3 | 38,764,695 | 0.14 | 0.48 | 0.47 | 1.04 | 3.94 | 1.17 | 0.56 |
| (NM_006514.1) | ||||||||||
| rs7612549 | LOC285307 + 209732 bp | 3 | 34,789,105 | 2.18 | 0.44 | 0.36 | 1.35 | 3.93 | 2.38 | 0.88 |
| (XM_211837) | ||||||||||
| rs1012728 | FLJ22419 lntron4 | 3 | 21,519,300 | 2.60 | 0.49 | 0.41 | 1.39 | 3.84 | 1.76 | 2.08 |
| (NM_024697.1) | ||||||||||
| rs13097360 | GBE1 β 805292 bp | 3 | 82,698,727 | 1.55 | 0.82 | 0.77 | 1.34 | 3.22 | 0.56 | 0.32 |
| (NM_000158.1) | ||||||||||
| rs33954719 | SGEF Intron6 | 3 | 155,359,077 | 1.70 | 0.65 | 0.58 | 1.30 | 3.07 | 2.09 | 2.33 |
| (NM_015595.2) | ||||||||||
| rs1462840 | LOC285194 + 426618 bp | 3 | 118,345,185 | 2.84 | 0.63 | 0.54 | 1.42 | 3.07 | 2.23 | 2.03 |
| (XM_379207) | ||||||||||
| rs17013665 | LOC440947 β 8774 bp | 3 | 23,718,507 | 3.79 | 0.71 | 0.62 | 1.53 | 3.05 | 2.42 | 1.69 |
| (XM_496633) | ||||||||||
| rs2044757 | SGEF Intron5 | 3 | 155,352,950 | 1.58 | 0.65 | 0.59 | 1.28 | 3.05 | 2.03 | 2.32 |
| (NM_015595.2) | ||||||||||
| rs1503075 | ALCAM β 79337 bp | 3 | 106,289,543 | 3.46 | 0.13 | 0.07 | 1.93 | 3.01 ND | 1.84 | |
| (NM_001627.1) | ||||||||||
| rs6550308 | L0C285307 + 332200 bp | 3 | 34,911,573 | 3.08 | 0.48 | 0.39 | 1.44 | 2.98 | 1.90 | 1.78 |
| (XM_211837) | ||||||||||
| rs12494849 | CACNA2D2 Intron2 | 3 | 50,499,562 | 3.61 | 0.59 | 0.49 | 1.48 | 2.89 | 2.20 | 1.52 |
| (NM_006030.1) | ||||||||||
| rs3755827 | ZNF312 β 1350 bp | 3 | 62,335,411 | 3.69 | 0.81 | 0.73 | 1.61 | 2.88 | 2.43 | 1.51 |
| (NM_018008.2) | ||||||||||
| rs9881866 | ALCAM β 264171 bp | 3 | 106,304,709 | 3.32 | 0.15 | 0.09 | 1.81 | 2.87 | 1.97 | 1.97 |
| (NM_001627.1) | ||||||||||
| rs34329202 | LOC389099 β 54783 bp | 3 | 22,240,837 | 3.37 | 0.92 | 0.86 | 1.83 | 2.82 | 1.99 | 1.01 |
| (XM_371621) | ||||||||||
| rs10935365 | CLSTN2 Intron1 | 3 | 141,227,766 | 3.47 | 0.84 | 0.76 | 1.61 | 2.77 | 2.61 | 1.62 |
| (NM_022131.1) | ||||||||||
| TABLE 8 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (βlogP) | Group | Group | mula 3) | (βlogP) | mula 4) | mula 5) |
| rs2138789 | GRK7 Intron2 | 3 | 142,991,449 | 3.33 | 0.14 | 0.08 | 1.86 | 2.67 | 3.28 | 1.88 |
| (NM_139209.1) | ||||||||||
| rs6550783 | LOC440947 β 8191 bp | 3 | 23,719,090 | 3.18 | 0.69 | 0.61 | 1.47 | 2.48 | 2.18 | 1.51 |
| (XM_496633) | ||||||||||
| rs779701 | GRM7 Intron7 | 3 | 7,493,772 | 3.03 | 0.33 | 0.25 | 1.48 | 2.48 | 1.80 | 1.64 |
| (NM_181875.1), | ||||||||||
| GRM7 Intron7 | ||||||||||
| (NM_000844.2), | ||||||||||
| GRM7 lntron7 | ||||||||||
| (NM_181874.1) | ||||||||||
| rs2216524 | ILIRAP Intron7 | 3 | 191,824,803 | 3.03 | 0.86 | 0.79 | 1.59 | 2.47 | 1.99 | 1.18 |
| (NM_134470.2), | ||||||||||
| IL1RAP lntron7 | ||||||||||
| (NM_002182.2) | ||||||||||
| rs3922704 | FLJ31579 lntron3 | 3 | 112,983,875 | 3.06 | 0.88 | 0.82 | 1.66 | 2.44 | 2.09 | 1.20 |
| (NM_153268.1) | ||||||||||
| rs7641653 | LOC389105 β 266407 bp | 3 | 35,093,422 | 3.06 | 0.40 | 0.32 | 1.45 | 2.43 | 2.08 | 1.50 |
| (XM_374037) | ||||||||||
| rs2193877 | IL1RAP Intron7 | 3 | 191,825,144 | 3.05 | 0.85 | 0.79 | 1.59 | 2.41 | 2.15 | 1.30 |
| (NM_I34470.2), | ||||||||||
| IL1RAP Intron7 | ||||||||||
| (NM_002182.2) | ||||||||||
| rs4624606 | IL1RAP Intron9 | 3 | 191,836,948 | 3.07 | 0.84 | 0.78 | 1.58 | 2.40 | 2.50 | 1.59 |
| (NM_002182.2), | ||||||||||
| IL1RAP + 6172 bp | ||||||||||
| (NM_134470.2) | ||||||||||
| rs4858594 | THRB Intron2 | 3 | 24,248,858 | 3.02 | 0.69 | 0.61 | 1.45 | 2.21 | 1.95 | 133 |
| (NM_000461.2) | ||||||||||
| rs10454254 | LOC285441 Intron1 | 4 | 187,735,925 | 1.17 | 0.81 | 0.77 | 1.27 | 3.70 | 0.60 | 0.33 |
| (XM_379295) | ||||||||||
| rs13110551 | CCRN4L β 116225 bp | 4 | 140,178,323 | 2.59 | 0.58 | 0.50 | 1.38 | 3.56 | 2.22 | 2.18 |
| (NM_012118.2) | ||||||||||
| rs1503539 | MAD2L1 + 168679 bp | 4 | 121,169,516 | 3.91 | 0.38 | 0.28 | 1.56 | 3.53 | 3.05 | 1.40 |
| (NM_002358.2) | ||||||||||
| rs3804100 | TLR2 Exon2 | 4 | 154,983,014 | 3.96 | 0.74 | 0.64 | 1.57 | 3.37 | 2.72 | 1.84 |
| (NM_003264.2) | ||||||||||
| rs4516662 | CCRN4L β 116103 bp | 4 | 140,178,445 | 2.22 | 0.57 | 0.50 | 1.34 | 3.27 | 2.08 | 2.12 |
| (NM_012118.2) | ||||||||||
| rs10009731 | STX18 β 141961 bp | 4 | 4,803,808 | 2.34 | 0.83 | 0.77 | 1.46 | 3.23 | 6.58 | 5.41 |
| (NM_016930.2) | ||||||||||
| rs7676755 | CYP4V2 Intron2 | 4 | 187,490,196 | 0.68 | 0.80 | 0.78 | 1.18 | 3.22 | 3.26 | 4.09 |
| (NM_207352.1) | ||||||||||
| rs10517556 | LOC391656 β 135832 bp | 4 | 62,947,647 | 2.42 | 0.51 | 0.43 | 1.37 | 3.21 | 1.75 | 1.96 |
| (XM_373027) | ||||||||||
| rs16996478 | UNC5C β 11150 bp | 4 | 96,838,490 | 3.98 | 0.20 | 0.12 | 1.80 | 3.17 | 3.11 | 1.79 |
| (NM_003728.2) | ||||||||||
| rs10517578 | LOC285533 Intron4 | 4 | 155,005,757 | 3.89 | 0.74 | 0.65 | 1.56 | 3.15 | 2.47 | 1.61 |
| (NM_173662.1) | ||||||||||
| rs34415360 | L0C132391 β 118159 bp | 4 | 117,081,308 | 3.45 | 0.29 | 0.21 | 1.57 | 3.01 | 3.26 | 1.28 |
| (XM_497978) | ||||||||||
| rs930438 | CENPC1 + 97050 bp | 4 | 68,069,912 | 3.27 | 0.82 | 0.75 | 1.57 | 2.84 | 3.33 | 2.31 |
| (NM_001812.1) | ||||||||||
| TABLE 10 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (βlogP) | Group | Group | mula 3) | (βlogP) | mula 4) | mula 5) |
| rs17279573 | KIAA0922 + 22425 bp | 4 | 154,937,893 | 3.34 | 0.68 | 0.60 | 1.48 | 2.74 | 2.31 | 1.66 |
| (NM_015196.2) | ||||||||||
| rs11727442 | TLR2 β 23144 bp | 4 | 154,943,527 | 3.42 | 0.69 | 0.60 | 1.49 | 2.73 | 2.22 | 1.49 |
| (NM_003264.2) | ||||||||||
| rs1027690 | MAD2L1 + 191047 bp | 4 | 121,147,148 | 3.22 | 0.43 | 0.34 | 1.46 | 2.63 | 2.24 | 1.45 |
| (NM_002358.2) | ||||||||||
| rs16891164 | LOC441009 + 88767 bp | 4 | 14,590,288 | 3.15 | 0.96 | 0.92 | 2.12 | ββ2.63 | ND | ND |
| (XM_498965) | ||||||||||
| rs13107767 | LOC152519 + 6607 bp | 4 | 47,886,619 | 3.44 | 0.60 | 0.50 | 1.47 | 2.62 | 2.07 | 1.39 |
| (NM_207330.1) | ||||||||||
| rs1980391 | LOC389239 β 207565 bp | 4 | 165,986,419 | 3.18 | 0.62 | 0.53 | 1.45 | 2.60 | 1.99 | 1.23 |
| (XM_371714) | ||||||||||
| rs7376639 | LOC132391 β 82192 bp | 4 | 117,117,275 | 3.04 | 0.29 | 0.21 | 1.52 | 2.56 | 2.90 | 1.27 |
| (XM_497978) | ||||||||||
| rs4256218 | SCD4 Introm1 | 4 | 84,047,858 | 3.28 | 0.89 | 0.82 | 1.69 | 2.55 | 2.70 | 1.59 |
| (NM_024906.1) | ||||||||||
| rs972469 | FSTL5 + 959616 bp | 4 | 161,703,038 | 3.06 | 0.40 | 0.32 | 1.45 | 2.47 | 2.27 | 1.36 |
| (NM_020116.2) | ||||||||||
| rs6829490 | TXK + 894 bp | 4 | 47,908,795 | 3.23 | 0.57 | 0.48 | 1.45 | 2.46 | 2.04 | 1.46 |
| (NM_003328.1) | ||||||||||
| rs3804099 | TLR2 Exon2 | 4 | 154,982,261 | 3.07 | 0.71 | 0.63 | 1.46 | 2.45 | 2.24 | 1.57 |
| (NM_003264.2) | ||||||||||
| rs4392496 | KIAA0922 Intron3 | 4 | 154,800,110 | 3.10 | 0.46 | 0.37 | 1.44 | 2.41 | 2.04 | 1.47 |
| (NM_015196.2) | ||||||||||
| rs4568220 | LOC344988 Intron2 | 4 | 121,413,055 | 3.23 | 0.11 | 0.06 | 2.04 | 2.40 | 3.19 | 2.00 |
| (XM_293671) | ||||||||||
| rs33964061 | TXK + 1806 bp | 4 | 47,907,883 | 3.11 | 0.57 | 0.48 | 1.43 | 2.34 | 2.00 | 1.46 |
| (NM_003328.1) | ||||||||||
| rs6447614 | TXK + 804bp | 4 | 47,908,885 | 3.11 | 0.57 | 0.48 | 1.43 | 2.34 | 2.00 | 1.46 |
| (NM_003328.1) | ||||||||||
| rs12655405 | PDZK3 β 33552 bp | 5 | 31,801,198 | 0.80 | 0.93 | 0.91 | 1.33 | 3.88 | 0.13 | 0.06 |
| (NM_015022.2), | ||||||||||
| PDZK3 β 33552 bp | ||||||||||
| (NM_178140.1) | ||||||||||
| rs4515309 | NNT + 296580 bp | 5 | 44,037,927 | 1.77 | 0.12 | 0.08 | 1.56 | 3.74 | 0.00 | 2.02 |
| (NM_012343.2), | ||||||||||
| NNT + 296836 bp | ||||||||||
| (NM_182977.1) | ||||||||||
| rs1377489 | MTRR + 135148 bp | 5 | 8,089,385 | 1.15 | 0.82 | 0.78 | 1.28 | 3.56 | 20.15 | 19.82 |
| (NM_024010.1), | ||||||||||
| MTRR + 135148 bp | ||||||||||
| (NM_002454.1) | ||||||||||
| rs309593 | CSPG2 Intron10 | 5 | 82,884,337 | 3.95 | 0.43 | 0.33 | 1.54 | 3.45 | 2.43 | 1.64 |
| (NM_004385.2) | ||||||||||
| rs6579788 | TCOF1 β 25018 bp | 5 | 149,692,410 | 1.15 | 0.37 | 0.32 | 1.23 | 3.43 | 2.27 | 0.80 |
| (NM_000356.1) | ||||||||||
| rs6451268 | FLJ25422 Intron11 | 5 | 36,291,121 | 1.39 | 0.61 | 0.56 | 1.25 | 3.38 | 1.85 | 2.30 |
| (NM_145000.2) | ||||||||||
| rs529279 | C5orf13 β 5941 bp | 5 | 111,126,776 | 3.20 | 0.30 | 0.22 | 1.53 | 2.90 | 3.30 | 1.31 |
| (NM_004772.1) | ||||||||||
| rs298091 | PDE4D β 114328 bp | 5 | 59,032,360 | 3.58 | 0.82 | 0.74 | 1.61 | 2.86 | 2.37 | 1.43 |
| (NM_0062039) | ||||||||||
| rs3097776 | FAT2 lntron2 | 5 | 150,916,554 | 3.34 | 0.72 | 0.63 | 1.49 | 2.77 | 2.01 | 1.23 |
| (NM_001447.1) | ||||||||||
| rs11750584 | FLJ40243 β 22454 bp | 5 | 41,129,616 | 3.13 | 0.20 | 0.13 | 1.64 | 2.68 | 1.86 | 1.80 |
| (NM_173489.2) | ||||||||||
| TABLE 11 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (β1ogP) | Group | Group | mula 3) | (β1ogP) | mula 4) | mula 5) |
| rs11748095 | FBXL17 β 103066 bp (NM_022824.1) | 5 | 107,848,076 | 3.18 | 0.50 | 0.41 | 1.45 | 2.66 | 1.95 | 1.66 |
| rs1428470 | LY64 β 8157 bp (NM_005582.1) | 5 | 66,536,525 | 3.15 | 0.80 | 0.72 | 1.53 | 2.64 | 1.93 | 1.16 |
| rs11167493 | CSF1R + 19417 bp (NM_005211.2) | 5 | 149,393,634 | 3.02 | 0.12 | 0.07 | 1.92 | ββ2.52 ND | 1.77 | |
| rs6891720 | LY64 β 7944 bp (NM_005582.1) | 5 | 66,536,312 | 3.04 | 0.80 | 0.72 | 1.51 | 2.52 | 1.91 | 1.16 |
| rs4246764 | LY64 β 384319 bp (NM_005582.1) | 5 | 66,912,687 | 3.00 | 0.29 | 0.21 | 1.51 | 2.46 | 2.43 | 1.54 |
| rs429419 | ADAMTS12 Intron17 (NM_030955.1) | 5 | 33,624,092 | 3.12 | 0.91 | 0.85 | 1.76 | 2.44 | 3.75 | 2.20 |
| rs298063 | PDE4D β 88343 bp (NM_006203.3) | 5 | 59,006,375 | 3.15 | 0.82 | 0.75 | 1.55 | 2.44 | 2.11 | 1.32 |
| rs818725 | ADAMTS12 Intron17 (NM_030955.1) | 5 | 33,624,060 | 3.05 | 0.91 | 0.86 | 1.74 | 2.37 | 3.66 | 2.17 |
| rs4285312 | NEDD9 β 191677 bp (NM_006403.2) | 6 | 11,532,564 | 3.28 | 0.16 | 0.10 | 1.76 | 3.87 | 1.07 | 2.27 |
| NEDD9 β 191687 bp (NM_182966.1) | ||||||||||
| rs4840196 | GRIK2 Intron8 (NM_021956.2), | 6 | 102,359,520 | 0.96 | 0.60 | 0.55 | 1.19 | 3.72 | 1.19 | 0.60 |
| GRIK2 Intron8 (NM_175768.1) | ||||||||||
| rs4075603 | NEDD9 β 191609 bp (NM_006403.2), | 6 | 11,532,496 | 3.09 | 0.16 | 0.10 | 1.73 | 3.67 | 1.04 | 2.22 |
| NEDD9 β 191619 bp (NM_182966.1) | ||||||||||
| rs2764236 | GRIK2 Intron9 (NM_021956.2), | 6 | 102,389,150 | 0.83 | 0.59 | 0.56 | 1.17 | 3.61 | 1.15 | 0.59 |
| GRIK2 Intron9 (NM_175768.1) | ||||||||||
| rs4840195 | GRIK2 Intron8 (NM_021956.2), | 6 | 102,359,490 | 0.84 | 0.59 | 0.55 | 1.17 | 3.55 | 1.18 | 0.60 |
| GRIK2 Intron8 (NM_175768.1) | ||||||||||
| rs372534 | AOF1Intron8 (XM_173173) | 6 | 18,295,895 | 3.02 | 0.68 | 0.59 | 1.45 | 3.50 | 2.40 | 2.31 |
| rs6907963 | LOC442154 Intron1 (XM_498036) | 6 | 4,903,481 | 2.45 | 0.88 | 0.83 | 1.56 | 3.18 | 16.95 | 13.09 |
| rs6916915 | EGFL11 β 135926 bp (NM_198283.1) | 6 | 66,398,533 | 3.44 | 0.54 | 0.45 | 1.47 | 3.08 | 2.18 | 1.20 |
| rs3857597 | LOC442216 β 86680 bp (XM_498099) | 6 | 51,020,014 | 3.84 | 0.22 | 0.14 | 1.73 | 3.07 | 2.60 | 1.76 |
| rs902287 | EGFL11 β 127786 bp (NM_198283.1) | 6 | 66,390,393 | 3.31 | 0.51 | 0.42 | 1.46 | 3.05 | 2.19 | 1.16 |
| rs7761118 | MAPK14 Intron9 (NM_139013.1), | 6 | 66,390,393 | 3.31 | 0.51 | 0.42 | 1.46 | 3.05 | 2.19 | 1.16 |
| MAPK14 Intron9 (NM_001315.1), | ||||||||||
| MAPK14 Intron9 (NM_139012.1), | 6 | 36,176,281 | 3.63 | 0.93 | 0.87 | 1.95 | 3.05 | 4.77 | 2.39 | |
| MAPK14 Intron9 (NM_139014.1) | ||||||||||
| TABLE 12 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (β1ogP) | Group | Group | mula 3) | (β1ogP) | mula 4) | mula 5) |
| rs9473926 | LOC442216 β 10440 bp (XM_498099) | 6 | 50,943,774 | 330 | 0.54 | 0.45 | 1.46 | 2.90 | 2.17 | 1.69 |
| rs1206153 | KIAA1900 Intron6 (NM_052904.1) | 6 | 97,652,757 | 3.02 | 0.56 | 0.47 | 1.43 | 2.80 | 1.95 | 1.08 |
| rs16871306 | NEDD9 β 153598 bp (NM_006403.2), | 6 | 11,494,485 | 3.04 | 0.09 | 0.04 | 2.17 | ββ2.52 ND | 2.22 | |
| NEDD9 β 153608 bp (NM_182966.1) | ||||||||||
| rs9398995 | ENPP1 Intron1 (NM_006208.1) | 6 | 132,181,896 | 3.12 | 0.58 | 0.48 | 1.44 | 2.51 | 2.06 | 1.59 |
| rs9358578 | LOC389370 Intron1 (XM_374162) | 6 | 22,810,626 | 3.27 | 0.44 | 0.35 | 1.47 | 2.46 | 2.12 | 1.39 |
| rs10488281 | PRES Intron2 (NM_206883.1), | 7 | 102,663,783 | 1.13 | 0.48 | 0.44 | 1.21 | 3.64 | 1.66 | 0.72 |
| PRES Intron2 (NM_206884.1), | ||||||||||
| PRES Intron2 (NM_206885.1), | ||||||||||
| PRES Intron2 (NM_198999.1) | ||||||||||
| rs2215164 | COBL Intron1 (NM_015198.2) | 7 | 51,093,537 | 1.75 | 0.88 | 0.83 | 1.44 | 3.60 | 0.32 | 0.17 |
| rs2299257 | PON1 Intron4 (NM_000446.3) | 7 | 94,587,416 | 3.65 | 0.37 | 0.28 | 1.54 | 3.43 | 2.01 | 1.80 |
| rs1075737 | PRES Intron2 (NM_206883.1), | 7 | 102,665,144 | 0.99 | 0.48 | 0.44 | 1.19 | 3.41 | 1.60 | 0.72 |
| PRES Intron2 (NM_206884.1), | ||||||||||
| PRES Intron2 (NM_206885.1), | ||||||||||
| PRES Intron2 (NM_198999.1) | ||||||||||
| rs10232532 | CPA5 β 3205 bp (NM_080385.2) | 7 | 129,575,431 | 0.30 | 0.52 | 0.50 | 1.07 | 3.24 | 1.18 | 1.94 |
| rs3917538 | PON1 Intron5 (NM_000446.3) | 7 | 94,582,544 | 3.50 | 0.51 | 0.42 | 1.47 | 3.16 | 2.20 | 1.16 |
| rs1222418 | FLJ32786 Intron12 (NM_144648.1) | 7 | 133,334,253 | 3.72 | 0.17 | 0.10 | 1.89 | 3.14 | 10.10 | 1.72 |
| rs2966701 | TAS2R41 + 27695 bp (NM_176883.1) | 7 | 142,720,419 | 3.59 | 0.13 | 0.07 | 2.01 | 3.13 | 2.48 | 2.15 |
| rs10271531 | HGF + 217504 bp (NM _000601.3) | 7 | 80,758,592 | 3.78 | 0.42 | 0.33 | 1.52 | 3.11 | 2.46 | 1.41 |
| rs12700287 | DNAH11 Intron8 (NM_003777.1) | 7 | 21,385,860 | 3.76 | 0.96 | 0.92 | 2.39 | ββ3.10 ND | ND | |
| rs10228385 | LOC401324 + 47600 bp (XM_379484) | 7 | 35,236,926 | 3.79 | 0.84 | 0.76 | 1.65 | 3.07 | 2.21 | 1.26 |
| rs4726533 | PRSS1 β 172004 bp (NM_002769.2) | 7 | 141,771,615 | 0.57 | 0.39 | 0.36 | 1.13 | 3.07 | 1.71 | 0.72 |
| TABLE 13 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (β1ogP) | Group | Group | mula 3) | (β1ogP) | mula 4) | mula 5) |
| rs2285652 | OSBPL3 Intron22 (NM_015550.2), | 7 | 24,617,110 | 3.56 | 0.84 | 0.77 | 1.64 | 3.02 | 3.55 | 2.33 |
| OSBPL3 lntron2l (NM_145320.1), | ||||||||||
| OSBPL3 Intron21 (NM_145321.1), | ||||||||||
| OSBPL3 Intron20 (NM 145322.1), | ||||||||||
| OSBPL3 Intron22 (NM_145323.1), | ||||||||||
| OSBPL3 Intron21 (NM_145324.1) | ||||||||||
| rs10250170 | TPK1 Intron8 (NM_022445.2) | 7 | 143,650,537 | 0.69 | 0.12 | 0.10 | 1.24 | 3.02 | 0.11 | 1.67 |
| rs2966712 | TAS2R41 β 7843 bp (NM_176883.1) | 7 | 142,683,960 | 3.22 | 0.11 | 0.06 | 1.97 | 3.02 | 0.82 | 2.20 |
| rs1001148 | COBL Intron1 (NM_015198.2) | 7 | 51,094,084 | 1.40 | 0.88 | 0.84 | 1.37 | 3.01 | 0.32 | 0.18 |
| rs17167646 | FLJ32786 Intron16 (NM_144648.1) | 7 | 133,365,708 | 3.50 | 0.15 | 0.09 | 1.84 | 2.93 | 9.85 | 1.66 |
| rs930688 | FLJ32786 Intron16 (NM_144648.1) | 7 | 133,366,047 | 3.50 | 0.15 | 0.09 | 1.84 | 2.93 | 9.85 | 1.66 |
| rs991162 | FLJ32110 β 9270 bp (NM_181646.2) | 7 | 88,024,134 | 3.55 | 0.15 | 0.09 | 1.89 | 2.91 | 2.49 | 1.98 |
| rs2592845 | LOC401324 + 94391 bp (XM_379484) | 7 | 35,283,717 | 3.07 | 0.77 | 0.69 | 1.51 | 2.90 | 3.17 | 2.30 |
| rs10228514 | LOC401324 + 47709 bp (XM_379484) | 7 | 35,237,035 | 3.55 | 0.83 | 0.75 | 1.62 | 2.86 | 2.20 | 1.30 |
| rs10488110 | LOC340268 Intron1 (XM_294634) | 7 | 9,827,710 | 3.41 | 0.11 | 0.06 | 2.07 | ββ2.81 ND | 1.89 | |
| rs975910 | HIC + 252683 bp (NM_199072.2) | 7 | 114,505,890 | 3.53 | 0.94 | 0.88 | 1.98 | 2.72 | 5.49 | 3.05 |
| rs2893506 | LOC401324 +25585 bp (XM_379484) | 7 | 35,214,911 | 3.52 | 0.83 | 0.75 | 1.60 | 2.69 | 2.47 | 1.58 |
| rs10236415 | LOC401324 + 28462 bp (XM_379484) | 7 | 35,217,788 | 3.52 | 0.83 | 0.75 | 1.60 | 2.69 | 2.47 | 1.58 |
| rs9640055 | GLCCII Intron1 (XM_166519) | 7 | 7,802,756 | 3.27 | 0.82 | 0.75 | 1.57 | 2.65 | 2.55 | 1.62 |
| rs2592860 | LOC401324 + 14726 bp (XM_379484) | 7 | 35,204,052 | 3.25 | 0.71 | 0.63 | 1.48 | 2.52 | 2.15 | 1.45 |
| rs16961391 | NUP205 β 1742 bp (XM_371954) | 7 | 134,698,206 | 3.12 | 0.73 | 0.65 | 1.47 | 2.52 | 2.11 | 1.36 |
| rs115357 | FLJ3842 + 130801 bp (NM_024645.1) | 8 | 40,376,469 | 1.62 | 0.31 | 0.25 | 1.32 | 3.49 | 1.01 | 1.90 |
| rs2977752 | L0C441352 + 55834 bp (XM_499115) | 8 | 72,715,809 | 1.84 | 0.58 | 0.52 | 1.30 | 3.39 | 1.87 | 2.19 |
| rs10504440 | LOC389667 + 50257 bp (XM_372046) | 8 | 70,255,391 | 2.06 | 0.70 | 0.64 | 1.35 | 3.32 | 2.77 | 2.73 |
| rs2470722 | GEM β 2381bp (NM_005261.2), | 8 | 95,346,114 | 1.12 | 0.77 | 0.73 | 1.25 | 3.28 | 0.79 | 0.45 |
| GEM β 2381bp (NM_181702.1) | ||||||||||
| TABLE 14 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (βlogP) | Group | Group | mula 3) | (βlogP) | mula 4) | mula 5) |
| rs12898 | CTSB + 629 bp (NM_001908.2), | 8 | 11,738,607 | 2.92 | 0.49 | 0.40 | 1.42 | 3.27 | 1.81 | 1.90 |
| CTSB + 629 bp (NM_147780.1), | ||||||||||
| CTSB + 629 bp (NM_147781.1), | ||||||||||
| CTSB + 629 bp (NM_147782.1), | ||||||||||
| CTSB + 629 bp (NM 147783.1) | ||||||||||
| rs6991723 | ZNF596 + 33933 bp (NM_173539.1) | 8 | 221,272 | 2.75 | 0.58 | 0.49 | 1.40 | 3.25 | 2.08 | 2.04 |
| rs16904092 | MGC27434 Intron1 (NM_145050.2) | 8 | 130,571,112 | 1.05 | 0.90 | 0.87 | 1.33 | 3.19 | 0.16 | 0.09 |
| rs6468360 | LOC286135 β 35034 bp (XM_379573) | 8 | 29,863,536 | 2.01 | 0.55 | 0.48 | 1.32 | 3.16 | 1.78 | 0.86 |
| rs4736872 | FLJ3842 Intron5 (NM_024645.1) | 8 | 40,570,858 | 0.36 | 0.63 | 0.61 | 1.09 | 3.12 | 1.54 | 2.26 |
| rs10958627 | FLJ13842 Intron5 (NM_024645.1) | 8 | 40,594,675 | 0.03 | 0.47 | 0.47 | 1.01 | 3.08 | 0.96 | 1.75 |
| rs16935718 | LOC389667 + 60391 bp (XM_372046) | 8 | 70,265,525 | 1.87 | 0.74 | 0.68 | 1.34 | 3.07 | 3.16 | 3.04 |
| rs1605950 | PXMP3 β 574113 bp (NM_000318.1) | 8 | 78,649,107 | 0.82 | 0.28 | 0.25 | 1.19 | 3.07 | 0.78 | 1.73 |
| rs2513858 | STARS β 43515 bp (NM_139166.2) | 8 | 107,895,164 | 0.07 | 0.65 | 0.65 | 1.02 | 3.05 | 1.49 | 2.29 |
| rs16935744 | LOC389667 + 75414 bp (XM_372046) | 8 | 70,280,548 | 1.80 | 0.74 | 0.68 | 1.33 | 3.04 | 3.05 | 2.98 |
| rs2272767 | CTSB Intron1 (NM_001908.2), | 8 | 11,748,468 | 2.69 | 0.48 | 0.40 | 1.40 | 3.01 | 1.75 | 1.85 |
| CTSB Intron3 (NM_147780.1), | ||||||||||
| CTSB Intron2 (NM_147781.1), | ||||||||||
| CTSB Intron2 (NM_147782.1), | ||||||||||
| CTSB Intron2 (NM 147783.1) | ||||||||||
| rs705998 | LOC389667 + 90010 bp (XM_372046) | 8 | 70,295,144 | 1.55 | 0.71 | 0.65 | 1.29 | 3.01 | 2.51 | 2.69 |
| rs12545915 | SNTG1 Intron2 (NM_018967.1) | 8 | 51,329,479 | 3.39 | 0.85 | 0.77 | 1.62 | 2.91 | 1.82 | 1.01 |
| rs6999627 | SNTG1 Intron2 (NM_018967.1) | 8 | 51,340,728 | 3.27 | 0.85 | 0.78 | 1.61 | 2.77 | 1.81 | 1.02 |
| rs3757916 | RBPMS Intron9 (NM_0061167.1) | 8 | 30,545,447 | 3.10 | 0.43 | 0.34 | 1.45 | 2.62 | 1.96 | 1.62 |
| rs2729482 | LOC169355 Intron9 (NM_194294.1) | 8 | 39,975,804 | 3.50 | 0.11 | 0.06 | 2.07 | 2.61 | 3.62 | 2.00 |
| rs7823902 | LOC286129 Intron2 (XM_209910) | 8 | 26,963,854 | 3.20 | 0.34 | 0.26 | 1.50 | 2.58 | 2.12 | 1.56 |
| rs11783765 | GTF2E2 Intron7 (NM_002095.3) | 8 | 30,556,550 | 3.12 | 0.40 | 0.32 | 1.46 | 2.55 | 2.17 | 1.51 |
| TABLE 15 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (βlogP) | Group | Group | mula 3) | (βlogP) | mula 4) | mula 5) |
| rs17758599 | SNTG1 Intron1 | 8 | 51,109,255 | 3.14 | 0.85 | 0.78 | 1.59 | 2.49 | 2.77 | 1.78 |
| (NM_018967.1) | ||||||||||
| rs2468705 | KCNK9 + 75721 bp | 8 | 140,618,265 | 3.08 | 0.28 | 0.20 | 1.53 | 2.45 | 2.48 | 1.52 |
| (NM_016601.2) | ||||||||||
| rs6474298 | FLJ3842 β 168006 bp | 8 | 41,042,506 | 3.23 | 0.81 | 0.73 | 1.55 | 2.45 | 2.27 | 1.48 |
| (NM_024645.1) | ||||||||||
| rs17473451 | TUSC3 β 73601 bp | 8 | 15,368,500 | 3.05 | 0.79 | 0.71 | 1.51 | 2.43 | 1.98 | 1.24 |
| (NM_006765.2), | ||||||||||
| TUSC3 β 73601 bp | ||||||||||
| (NM_178234.1) | ||||||||||
| rs6559770 | SLC28A3 + 116711 bp | 9 | 84,005,935 | 2.83 | 0.47 | 0.38 | 1.41 | 3.55 | 1.82 | 1.96 |
| (NM_022127.1) | ||||||||||
| rs10984339 | LOC442434 + 182746 bp | 9 | 118,798,668 | 1.63 | 0.42 | 0.36 | 1.28 | 3.18 | 1.34 | 1.89 |
| (XM_498343) | ||||||||||
| rs920753 | LOC389771 β 178380 bp | 9 | 89,862,442 | 0.11 | 0.27 | 0.26 | 1.04 | 3.13 | 0.55 | 1.55 |
| (XM_374296) | ||||||||||
| rs411102 | LOC347265 + 48076 bp) | 9 | 99,196,524 | 3.28 | 0.16 | 0.10 | 1.79 | 3.06 | 1.50 | 2.03 |
| (XM_294590 | ||||||||||
| rs1342022 | ANXA1 β 61274 bp | 9 | 72,935,061 | 1.37 | 0.60 | 0.54 | 1.24 | 3.05 | 1.34 | 0.71 |
| (NM_000700.1) | ||||||||||
| rs10972299 | VCP + 4230 bp | 9 | 35,042,331 | 3.54 | 0.95 | 0.89 | 2.09 | 3.01 | 2.57 | 15.88 |
| (NM_007126.2) | ||||||||||
| rs303612 | LOC340511 β 47888 bp | 9 | 103,142,991 | 0.20 | 0.61 | 0.59 | 1.05 | 3.01 | 1.39 | 2.12 |
| (XM_295261) | ||||||||||
| rs1316814 | BARX1 β 25445 bp | 9 | 93,822,273 | 3.20 | 0.57 | 0.48 | 1.45 | 2.80 | 2.27 | 1.60 |
| (NM_021570.2) | ||||||||||
| rs1538844 | JMJD2C Intron8 | 9 | 6,953,799 | 3.07 | 0.41 | 0.33 | 1.46 | 2.78 | 1.91 | 1.70 |
| (NM_015061.1) | ||||||||||
| rs2148591 | PCSK5 β 63459 bp | 9 | 75,671,716 | 3.11 | 0.45 | 0.36 | 1.45 | 2.72 | 2.28 | 1.21 |
| (NM_006200.2) | ||||||||||
| rs932881 | JMJD2C + 1849 bp | 9 | 7,167,496 | 3.25 | 0.78 | 0.70 | 1.52 | 2.53 | 2.37 | 1.61 |
| (NM_015061.1) | ||||||||||
| rs10764881 | MGMT β 70674 bp | 10 | 131,153,821 | 0.91 | 0.72 | 0.68 | 1.20 | 3.94 | 5.56 | 6.03 |
| (NM_002412.1) | ||||||||||
| rs1649035 | TFAM + 176804 bp | 10 | 60,002,707 | 3.82 | 0.61 | 0.51 | 1.51 | 3.94 | 2.56 | 2.09 |
| (NM_003201.1), | ||||||||||
| TFAM + 187289 bp | ||||||||||
| (NM_012251.1) | ||||||||||
| rs782394 | LOC387721 β 251645 bp | 10 | 130,349,442 | 2.06 | 0.54 | 0.47 | 1.33 | 3.70 | 1.75 | 0.80 |
| (XM_370585) | ||||||||||
| rs1649048 | TFAM + 168385 bp | 10 | 59,994,288 | 3.54 | 0.60 | 0.51 | 1.48 | 3.54 | 2.36 | 1.99 |
| (NM_003201.1), | ||||||||||
| TFAM + 178870 bp | ||||||||||
| (NM_012251.1) | ||||||||||
| rs7477330 | TFAM + 162217 bp | 10 | 59,988,120 | 3.63 | 0.60 | 0.51 | 1.49 | 3.52 | 2.38 | 1.95 |
| (NM_003201.1), | ||||||||||
| TFAM + 172702 bp | ||||||||||
| (NM_012251.1 | ||||||||||
| rs17157033 | LOC439960 β 30545 bp | 10 | 44,613,470 | 2.88 | 0.96 | 0.92 | 2.14 | ββ3.45 ND | ND | |
| (XM_498478) | ||||||||||
| rs10458653 | PCBD β 54076 bp | 10 | 72,369,768 | 0.63 | 0.25 | 0.22 | 1.16 | 3.45 | 5.56 | 0.82 |
| (NM_000281.1) | ||||||||||
| TABLE 16 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (βlogP) | Group | Group | mula 3) | (βlogP) | mula 4) | mula 5) |
| rs3849969 | SEC24C Intron12 (NM_004922.2), | 10 | 75,196,005 | 3.36 | 0.27 | 0.19 | 1.57 | 3.44 | 1.58 | 1.92 |
| SEC24C Intron11 (NM_198597.1) | ||||||||||
| rs1658438 | TFAM + 170686 bp (NM_003201.1), | 10 | 59,996,589 | 3.56 | 0.60 | 0.51 | 1.48 | 3.43 | 2.35 | 1.92 |
| TFAM + 181171 bp (NM_012251.1) | ||||||||||
| rs1649039 | TFAM + 174144 bp (NM_003201.1), | 10 | 60,000,047 | 3.59 | 0.60 | 0.50 | 1.48 | 3.43 | 2.34 | 1.91 |
| TFAM + 184629 bp (NM_012251.1) | ||||||||||
| rs1658456 | TFAM + 148429 bp (NM_003201.1), | 10 | 59,974,332 | 3.54 | 0.60 | 0.51 | 1.48 | 3.40 | 2.33 | 1.91 |
| TFAM + 158914 bp (NM_012251.1) | ||||||||||
| rs1649060 | TFAM + 154583 bp (NM_003201.1), | 10 | 59,980,486 | 3.54 | 0.60 | 0.51 | 1.48 | 3.40 | 2.33 | 1.91 |
| TFAM + 165068 bp (NM_012251.1) | ||||||||||
| rs17130394 | HABP2 β 103263 bp (NM_004132.2) | 10 | 115,199,512 | 3.18 | 0.84 | 0.77 | 1.59 | 3.40 | 1.38 | 0.71 |
| rs10763558 | TFAM + 186037 bp (NM_003201.1), | |||||||||
| TFAM + 196522 bp (NM_012251.1) | 10 | 60,011,940 | 3.62 | 0.60 | 0.50 | 1.49 | 3.36 | 2.33 | 1.87 | |
| rs10763556 | TFAM + 185501 bp (NM_003201.1), | 10 | 60,011,404 | 3.53 | 0.60 | 0.50 | 1.48 | 3.34 | 2.33 | 1.89 |
| TFAM + 195986 bp (NM_012251.1) | ||||||||||
| rs7902091 | CTNNA3 Intron7 (NM_013266.1) | 10 | 68,268,298 | 2.66 | 0.51 | 0.43 | 1.39 | 3.33 | 1.98 | 0.94 |
| rs1210065 | TMEM23 Intron5 (NM_147156.3) | 10 | 51,882,795 | 2.61 | 0.41 | 0.34 | 1.40 | 3.31 | 1.59 | 1.89 |
| rs10994838 | ACF Intron1 (NM_014576.2), | 10 | 52,312,506 | 1.16 | 0.36 | 0.32 | 1.23 | 3.31 | 2.21 | 0.80 |
| ACF Intronl (NM_138932.1), | ||||||||||
| ACF Intronl (NM_138933.1) | ||||||||||
| rs11189912 | SH2D4B + 793340 bp (NM_207372.1) | 10 | 83,189,636 | 3.27 | 0.92 | 0.86 | 1.83 | 3.15 | 1.07 | 0.52 |
| rs1028534 | TMEM23 Intron3 (NM_147156.3) | 10 | 51,898,627 | 2.47 | 0.66 | 0.59 | 1.38 | 3.10 | 2.22 | 2.21 |
| rs1203392 | TMEM23 Intron5 (NM_147156.3) | 10 | 51,874,999 | 2.46 | 0.41 | 0.34 | 1.38 | 3.08 | 1.37 | 1.85 |
| rs7910849 | LOC220929 + 29028 bp (NM_182755.1) | 10 | 31,144,546 | 3.06 | 0.74 | 0.66 | 1.48 | 3.08 | 1.69 | 0.93 |
| rs7904101 | TMEM23 β 7099 bp (NM_147156.3) | 10 | 52,060,842 | 1.38 | 0.37 | 0.32 | 1.26 | 3.05 | 1.12 | 1.81 |
| rs4474374 | LOC439991 β 14752 bp (XM_495838) | 10 | 85,647,711 | 0.14 | 0.33 | 0.32 | 1.04 | 3.05 | 1.98 | 0.69 |
| rs11016249 | MK167 β 323870 bp (NM_002417.2) | 10 | 130,138,328 | 3.24 | 0.69 | 0.60 | 1.47 | 2.90 | 2.42 | 1.91 |
| TABLE 17 | ||||||||||
| High-Risk | High-Risk | |||||||||
| Allele | Allele | |||||||||
| Fre | Fre- | Odds | Odds | |||||||
| quency | quency | Critical | Ratio | Ratio | ||||||
| Critical | in | in | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | Glaucoma | Non- | Ratio | Geno- | zygote) | zygote) | |||
| mo- | Physical | Allele | Patient | Patient | (For- | type | (For- | (For- | ||
| dbSNP ID | Exon, Intron | some | Location | (β1ogP) | Group | Group | mula 3) | (βlogP) | mula 4) | mula 5) |
| rs2092832 | SH2D4B + 843746 bp (NM_207372.1) | 10 | 83,240,042 | 3.58 | 0.94 | 0.88 | 1.99 | 2.88 | 3.15 | 1.55 |
| rs4934425 | ANKRD22 Intron1 (NM_144590.1) | 10 | 90,599,698 | 3.05 | 0.64 | 0.55 | 1.44 | 2.83 | 2.29 | 1.86 |
| rs2688612 | PLAU β 17730 bp (NM_052658.1) | 10 | 75,323,211 | 3.57 | 0.42 | 0.33 | 1.50 | 2.81 | 2.28 | 1.45 |
| rs10883820 | CNNM2 Intron1 (NM_017649.3), | 10 | 104,754,651 | 3.37 | 0.90 | 0.84 | 1.76 | 2.78 | 2.47 | 1.34 |
| CNNM2 Intron1 (NM_199076.1), | ||||||||||
| CNNM2 + 77286 bp (NM_199077.1) | ||||||||||
| rs7074084 | TFAM + 146618 bp (NM_003201.1), | 10 | 59,972,521 | 3.20 | 0.59 | 0.49 | 1.44 | 2.77 | 2.16 | 1.69 |
| TFAM + 157103 bp (NM_012251.1) | ||||||||||
| rs1649023 | TFAM + 129923 bp (NM_003201.1), | 10 | 59,955,826 | 3.11 | 0.59 | 0.50 | 1.44 | 2.69 | 2.13 | 1.69 |
| TFAM + 140408 bp (NM_012251.1) | ||||||||||
| rs1649080 | TFAM + 137397 bp (NM_003201.1), | 10 | 59,963,300 | 3.11 | 0.59 | 0.50 | 1.44 | 2.69 | 2.13 | 1.69 |
| TFAM + 147882 bp (NM_012251.1) | ||||||||||
| rs1303970 | TFAM + 142580 bp (NM_003201.1), | 10 | 59,968,483 | 3.11 | 0.59 | 0.50 | 1.44 | 2.69 | 2.13 | 1.69 |
| TFAM + 153065 bp (NM_012251.1) | ||||||||||
| rs3829154 | ECHDC3 β 1630 bp (NM_024693.2) | 10 | 11,822,759 | 3.17 | 0.49 | 0.40 | 1.44 | 2.61 | 2.16 | 1.29 |
| rs1926029 | NT5C2 Intron11 (NM_012229.2) | 10 | 104,845,660 | 3.20 | 0.91 | 0.85 | 1.75 | 2.57 | 3.18 | 1.80 |
| rs2802493 | LOC283034 + 233953 bp (XM_210860) | 10 | 43,873,589 | 3.15 | 0.39 | 0.31 | 1.47 | 2.50 | 2.27 | 1.38 |
| rs718641 | ECHDC3 β 4475 bp (NM_024693.2) | 10 | 11,819,914 | 3.08 | 0.49 | 0.40 | 1.44 | 2.49 | 2.12 | 1.30 |
| rs7913781 | ZWINT β 792415 bp (NM_007057.2), | 10 | 58,583,444 | 3.22 | 0.18 | 0.11 | 1.72 | 2.46 | 4.17 | 1.49 |
| ZWINT β 792415 bp (NM_032997.1) | ||||||||||
| rs7894588 | CNNM2 Intron1 (NM_017649.3), | 10 | 104,746,020 | 3.08 | 0.91 | 0.85 | 1.72 | 2.46 | 2.41 | 1.35 |
| CNNM2 Intron1 (NM_199076.1), | ||||||||||
| CNNM2 + 68655 bp (NM_199077.1) | ||||||||||
| rs1569868 | SH2D4B + 852561 bp (NM_207372.1) | 10 | 83,248,857 | 3.13 | 0.93 | 0.88 | 1.88 | 2.45 | 3.12 | 1.65 |
| rs10883843 | NT5C2 β 6408 bp (NM_012229.2) | 10 | 104,937,483 | 3.03 | 0.91 | 0.85 | 1.71 | 2.41 | 2.39 | 1.35 |
| rs7074395 | NT5C2 +302984 bp (NM_012229.2) | 10 | 104,834,918 | 3.00 | 0.91 | 0.85 | 1.71 | 2.39 | 2.39 | 1.35 |
| High- | ||||||||||
| Risk | High- | |||||||||
| Allele | Risk | |||||||||
| Fre- | Allele | Odds | Odds | |||||||
| Cri- | quency | Fre- | Critical | Ratio | Ratio | |||||
| tical | in Glau- | quency | Odds | Rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | coma | in Non- | Ratio | Geno- | zygote) | ozygote) | |||
| mo- | Physical | Allele | Patient | Patient | (Formula | type | (Formula | (Formula | ||
| dbSNP ID | Exon, Intron | some | Location | (-logP) | Group | Group | 3) | (-logP) | 4) | 5) |
| rs10829630 | MGMT + 6919 bp (NM_002412.1) | 10 | 131,462,275 | 3.02 | 0.58 | 0.49 | 1.43 | 2.21 | 1.96 | 1.40 |
| rs923811 | BARX2 + 93402 bp (NM_003658.3) | 11 | 128,920,427 | 0.82 | 0.67 | 0.63 | 1.17 | 3.76 | 0.91 | 0.49 |
| rs4937431 | BARX2 + 124127 bp (NM_003658.3) | 11 | 128,951,152 | 1.56 | 0.44 | 0.38 | 1.27 | 3.24 | 2.05 | 0.85 |
| rs11021202 | MGC33371 + 224211 bp (NM_144664.3) | 11 | β94,917,555 | 3.28 | 0.14 | 0.08 | 1.85 | 3.18 | 1.33 | 2.17 |
| rs497776 | MAML2 Intron1 (NM_032427.1) | 11 | β95,597,312 | 2.23 | 0.80 | 0.74 | 1.42 | 3.06 | 3.58 | 3.31 |
| rs11602121 | LOC399921 Intron4 (XM_374904) | 11 | β70,237,526 | 1.45 | 0.29 | 0.24 | 1.30 | 3.00 | 5.91 | 1.01 |
| rs 11220171 | CNTN5 Intron2 (NM_014361.2), | 11 | β98,866,995 | 3.46 | 0.36 | 0.28 | 1.51 | 2.95 | 2.04 | 1.67 |
| CNTN5 Intron2 (NM_175566.1) | ||||||||||
| rs4307718 | LOC440033 + 175532 bp (XM_498512) | 11 | β23,320,437 | 3.48 | 0.96 | 0.92 | 2.27 | 2.90 | ND | ND |
| rs1384483 | LOC440033 + 63001 bp (XM_498512) | 11 | β23,207,906 | 3.23 | 0.13 | 0.07 | 1.90 | 2.78 | ND | 1.79 |
| rs500629 | ZBTB16 Intron3 (NM_006006.3) | 11 | 113,550,770 | 3.13 | 0.29 | 0.22 | 1.52 | 2.72 | 1.88 | 1.69 |
| rs1507527 | LOC387754 β 33940 bp (XM_373490) | 11 | β13,882,655 | 3.25 | 0.77 | 0.69 | 1.51 | 2.72 | 2.23 | 1.39 |
| rs2007052 | SPON1 β 37564 bp (NM_006108.1) | 11 | β13,903,250 | 3.21 | 0.77 | 0.68 | 1.51 | 2.69 | 2.24 | 1.40 |
| rs7935243 | PHACS Intron3 (NM_032592.1) | 11 | β44,050,992 | 3.13 | 0.80 | 0.72 | 1.53 | 2.67 | 2.95 | 2.11 |
| rs562160 | CHORDC1 β 291532 bp (NM_012124.1) | 11 | β89,887,386 | 3.12 | 0.82 | 0.75 | 1.55 | 2.57 | 2.91 | 2.02 |
| rs474530 | DLG2 Intron1 (NM_001364.1) | 11 | β83,930,298 | 3.02 | 0.95 | 0.91 | 2.00 | 2.56 | ND | ND |
| rs493622 | CHORDC1 β 286443 bp (NM_012124.1) | 11 | β89,882,297 | 3.04 | 0.82 | 0.75 | 1.54 | 2.45 | 2.76 | 1.89 |
| rs610160 | GRIA4 Intron3 (NM_000829.1) | 11 | 105,202,105 | 3.06 | 0.20 | 0.14 | 1.64 | 2.25 | 3.19 | 1.42 |
| rs10844107 | BICD1 β 37784 bp (NM_001714.1) | 12 | β32,113,668 | 0.28 | 0.24 | 0.23 | 1.08 | 3.48 | 5.00 | 0.75 |
| rs10862853 | LOC387871 + 436103 bp (XM_373539) | 12 | β83,274,707 | 1.19 | 0.82 | 0.78 | 1.28 | 3.34 | 3.97 | 4.53 |
| rs979879 | SLC6A15 + 353475 bp (NM_182767.2), | 12 | β83,403,423 | 1.63 | 0.83 | 0.78 | 1.36 | 3.33 | 4.41 | 4.61 |
| SLC6A15 + 375211 bp (NM_018057.3) | ||||||||||
| rs11116400 | SLC6A15 + 425437 bp (NM_182767.2), | 12 | β83,331,461 | 1.53 | 0.83 | 0.78 | 1.34 | 3.33 | 4.38 | 4.65 |
| SLC6A15 + 447173 bp (NM_018057.3) | ||||||||||
| rs2611284 | SLC6A15 + 335334 bp (NM_182767.2), | 12 | β83,421,564 | 1.66 | 0.83 | 0.78 | 1.36 | 3.31 | 4.41 | 4.57 |
| SLC6A15 + 357070 bp (NM_018057.3) | ||||||||||
| High- | ||||||||||
| Risk | High- | |||||||||
| Allele | Risk | |||||||||
| Fre- | Allele | Odds | Odds | |||||||
| quency | Fre- | Critical | Ratio | Ratio | ||||||
| Critical | in Glau- | quency | Odds | Rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | coma | in Non- | Ratio | Geno- | zygote) | ozygote) | |||
| mo- | Physical | Allele | Patient | Patient | (Formula | type | (Formula | (Formula | ||
| dbSNP ID | Exon, Intron | some | Location | (-logP) | Group | Group | 3) | (-logP) | 4) | 5) |
| rs10746324 | SLC6A15 + 349318 bp (NM_182767.2), | 12 | β83,407,580 | 1.61 | 0.83 | 0.78 | 1.36 | 3.29 | 4.38 | 4.57 |
| SLC6A15 + 371054 bp (NM_018057.3) | ||||||||||
| rs11056970 | LMO3 + 34143 bp (NM_0186403), | 12 | β16,558,431 | 3.21 | 0.86 | 0.79 | 1.63 | 3.27 | 3.21 | 3.17 |
| LMO3 + 34143 bp (NM_001001395.1) | ||||||||||
| rs4766663 | OAS1 + 7223 bp (NM_002534.1), | 12 | 111,825,694 | 3.28 | 0.20 | 0.13 | 1.68 | 3.12 | 12.40 | 1.52 |
| OAS1 + 5266 bp (NM_016816.1) | ||||||||||
| rs7134411 | FLJ25056 + 34943 bp (NM_182530.1) | 12 | β68,673,713 | 0.33 | 0.51 | 0.49 | 1.08 | 3.12 | 1.17 | 0.61 |
| rs1382851 | FLJ36004 β 92384 bp (NM_152590.1) | 12 | β25,689,829 | 2.11 | 0.58 | 0.51 | 1.33 | 3.10 | 1.86 | 2.07 |
| rs7295295 | LOC387871 + 418915 bp (XM_373539) | 12 | β83,257,519 | 1.84 | 0.82 | 0.76 | 1.38 | 3.09 | 4.09 | 4.00 |
| rs1380405 | SLC6A15 + 351862 bp (NM_182767.2), | 12 | β83,405,036 | 1.56 | 0.83 | 0.79 | 1.35 | 3.08 | 4.25 | 4.38 |
| SLC6A15 + 373598 bp (NM_018057.3) | ||||||||||
| rs11116414 | SLC6A15 + 389377 bp (NM_182767.2), | 12 | β83,367,521 | 1.46 | 0.83 | 0.79 | 1.33 | 3.07 | 4.21 | 4.42 |
| SLC6A15 + 411113 bp (NM_018057.3) | ||||||||||
| rs2468302 | SLC6A15 + 354456 bp (NM_182767.2), | 12 | β83,402,442 | 1.46 | 0.83 | 0.79 | 1.33 | 3.07 | 4.21 | 4.42 |
| SLC6A15 + 376192 bp (NM_018057.3) | ||||||||||
| rs2555255 | LOC144742 + 11128 bp (XM_ 378388) | 12 | 118,173,222 | 0.08 | 0.25 | 0.24 | 1.03 | 3.04 | 3.04 | 0.72 |
| rs2072133 | OAS3 Exon16 (NM_006187.2) | 12 | 111,871,980 | 3.71 | 0.68 | 0.59 | 1.51 | 3.03 | 2.27 | 1.46 |
| rs1647106 | THRAP2 + 168009 bp (NM_015335.2) | 12 | 114,691,094 | 3.67 | 0.33 | 0.24 | 1.56 | 3.02 | 2.29 | 1.63 |
| rs10779090 | LOC387871 + 423693 bp (XM_373539) | 12 | β83,262,297 | 1.14 | 0.82 | 0.78 | 1.27 | 3.01 | 3.58 | 4.04 |
| rs2125093 | KLRA1 + 10392 bp (NM_006611.1) | 12 | β10,622,647 | 3.52 | 0.77 | 0.68 | 1.54 | 2.92 | 2.11 | 1.27 |
| rs900610 | MGC50559 Intron2 (NM_173802.2) | 12 | β31,707,890 | 3.14 | 0.16 | 0.10 | 1.75 | 2.91 | 1.47 | 1.98 |
| rs10772350 | STYK1 β 7029 bp (NM_018423.1) | 12 | β10,724,935 | 3.08 | 0.71 | 0.62 | 1.47 | 2.83 | 1.91 | 1.11 |
| rs4767030 | OAS1 + 3826 bp (NM_002534.1), | 12 | 111,822,297 | 3.40 | 0.21 | 0.14 | 1.68 | 2.81 | 3.49 | 1.66 |
| OAS1 + 1869 bp (NM_016816.1) | ||||||||||
| rs1647110 | THRAP2 + 163373 bp (NM_015335.2) | 12 | 114,695,730 | 3.37 | 0.29 | 0.21 | 1.56 | 2.76 | 2.29 | 1.62 |
| High- | ||||||||||
| Risk | High- | |||||||||
| Allele | Risk | |||||||||
| Fre- | Allele | Odds | Odds | |||||||
| Cri- | quency | Fre- | Critical | Ratio | Ratio | |||||
| tical | in Glau- | quency | Odds | Rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | coma | in Non- | Ratio | Geno- | zygote) | ozygote) | |||
| mo- | Physical | Allele | Patient | Patient | (Formula | type | (Formula | (Formula | ||
| dbSNP ID | Exon, Intron | some | Location | (-logP) | Group | Group | 3) | (-logP) | 4) | 5) |
| rs1859336 | OAS3 β 8940 bp (NM_006187.2) | 12 | 111,830,029 | 3.06 | 0.21 | 0.14 | 1.63 | 2.58 | 4.24 | 1.57 |
| rs1700369 | LOC441646 Intron8 (XM_497358) | 12 | 126,367,113 | 3.00 | 0.95 | 0.90 | 1.97 | 2.55 | 1.54 | 0.71 |
| rs7134391 | OAS1 + 10940 bp (NM_002534.1), | 12 | 111,829,411 | 3.09 | 0.20 | 0.14 | 1.63 | 2.50 | 3.57 | 1.57 |
| OAS1 + 8983 bp (NM_016816.1) | ||||||||||
| rs2270152 | VWF Intron49 (NM_000552.2) | 12 | ββ5,931,330 | 3.16 | 0.86 | 0.80 | 1.62 | 2.48 | 2.47 | 1.50 |
| rs4767040 | OAS3 β 2232 bp (NM_006187.2) | 12 | 111,836,737 | 3.07 | 0.20 | 0.14 | 1.63 | 2.48 | 3.56 | 1.56 |
| rs10774679 | OAS3 β 1501 bp (NM_006187.2) | 12 | 111,837,468 | 3.06 | 0.20 | 0.14 | 1.63 | 2.47 | 3.58 | 1.56 |
| rs11104300 | HGNT-JV-H β 287319 bp | 12 | β86,022,432 | 3.05 | 0.21 | 0.15 | 1.61 | 2.44 | 3.37 | 1.52 |
| (NM_013244.2) | ||||||||||
| rs10735079 | OAS3 Intron2 (NM_006187.2) | 12 | 111,842,728 | 3.03 | 0.20 | 0.14 | 1.62 | 2.44 | 3.56 | 1.55 |
| rs7961953 | DKFZp762A217 Intron1 | 12 | β81,594,304 | 3.02 | 0.34 | 0.26 | 1.48 | 2.43 | 2.28 | 1.48 |
| (NM_152588.1) | ||||||||||
| rs261912 | ETNK1 Intron6 (NM_018638.3) | 12 | β22,728,208 | 3.01 | 0.85 | 0.78 | 1.58 | 2.43 | 3.04 | 2.02 |
| rs4145280 | G30 + 266246 bp (XM_498445) | 13 | 104,643,159 | 0.25 | 0.51 | 0.50 | 1.06 | 3.95 | 1.12 | 0.55 |
| rs4772238 | CLYBL β 20285 bp (NM_206808.1), | 13 | β99,202,794 | 0.14 | 0.12 | 0.11 | 1.06 | 3.78 | 0.00 | 1.53 |
| CLYBL β 20285 bp (NM_138280.3) | ||||||||||
| rs9519091 | SLC10A2 β 518655 bp (NM_000452.1) | 13 | 103,035,852 | 1.56 | 0.49 | 0.43 | 1.27 | 3.58 | 1.48 | 2.06 |
| rs3916959 | G30 + 269026 bp (XM_498445) | 13 | 104,640,379 | 0.25 | 0.51 | 0.50 | 1.06 | 3.58 | 1.12 | 0.57 |
| rs9558509 | G30 + 271368 bp (XM_498445) | 13 | 104,638,037 | 0.27 | 0.51 | 0.50 | 1.07 | 3.47 | 1.13 | 0.58 |
| rs9300981 | G30 + 469126 bp (XM_498445) | 13 | 104,440,279 | 3.79 | 0.63 | 0.53 | 1.52 | 3.14 | 2.32 | 1.75 |
| rs1606405 | SLITRK1 + 664827 bp (NM_052910.1) | 13 | β82,684,518 | 1.37 | 0.55 | 0.50 | 1.24 | 3.10 | 1.47 | 0.74 |
| rs10492680 | L0C400123 β 23647 bp (XM_378411) | 13 | β39,702,836 | 3.01 | 0.93 | 0.88 | 1.83 | 2.46 | 6.22 | 3.50 |
| rs7150435 | ALKBH + 19861 bp (NM_006020.1) | 14 | β77,189,287 | 0.00 | 0.53 | 0.53 | 1.00 | 3.42 | 1.09 | 1.92 |
| rs759363 | CHES1 Intron3 (NM_005197.1) | 14 | β88,828,894 | 3.89 | 0.32 | 0.23 | 1.59 | 3.29 | 2.36 | 1.69 |
| rs11159897 | CHES1 Intron3 (NM_005197.1) | 14 | β88,829,194 | 3.89 | 0.32 | 0.23 | 1.59 | 3.29 | 2.36 | 1.69 |
| rs4902116 | LOC401778 + 110022 bp (XM_377343) | 14 | β61,774,890 | 2.61 | 0.57 | 0.49 | 1.38 | 3.12 | 1.93 | 1.98 |
| rs2241127 | CHES1 Intron2 (NM_005197.1) | 14 | β88,892,969 | 1.47 | 0.31 | 0.26 | 1.29 | 3.11 | 0.99 | 1.80 |
| High- | ||||||||||
| Risk | High- | |||||||||
| Allele | Risk | |||||||||
| Fre- | Allele | Odds | Odds | |||||||
| quency | Fre- | Critical | Ratio | Ratio | ||||||
| Critical | in Glau- | quency | Odds | Rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | coma | in Non- | Ratio | Geno- | zygote) | ozygote) | |||
| mo- | Physical | Allele | Patient | Patient | (Formula | type | (Formula | (Formula | ||
| dbSNP ID | Exon, Intron | some | Location | (-logP) | Group | Group | 3) | (-logP) | 4) | 5) |
| rs10148022 | LOC283584 β 265499 bp (XM_211108) | 14 | β85,864,556 | 0.85 | 0.32 | 0.29 | 1.19 | 3.07 | 0.84 | 1.72 |
| rs1571379 | SEL1L β 289804 bp (NM_005065.3) | 14 | β81,359,690 | 3.60 | 0.73 | 0.63 | 1.53 | 3.03 | 2.22 | 1.36 |
| KCNK10 β 72402 bp (NM_138318.1), | ||||||||||
| rs11622536 | KCNK10 β 20310 bp (NM_138317.1), | 14 | β87,879,410 | 0.64 | 0.77 | 0.75 | 1.16 | 3.00 | 0.64 | 0.38 |
| KCNK10 β16406 bp (NM_021161.3) | ||||||||||
| BRF1 Intron2 (NM_001519.2), | ||||||||||
| rs2816632 | BRF1 β 27133 bp (NM_145685.1), | 14 | 104,812,400 | 3.27 | 0.21 | 0.14 | 1.64 | 2.78 | 4.49 | 1.36 |
| BRF1 β 26587 bp (NM_145696.1) | ||||||||||
| rs1106845 | STELLAR + 19768 bp (XM_375075) | 14 | β35,931,107 | 3.26 | 0.11 | 0.06 | 2.06 | 2.71 ND | 1.98 | |
| rs17115925 | SEL1L β 271331 bp (NM_005065.3) | 14 | β81,341,217 | 3.00 | 0.72 | 0.64 | 1.46 | 2.39 | 2.22 | 1.56 |
| rs7176242 | ATP10A + 44699 bp (NM_024490.2) | 15 | β23,428,814 | 0.19 | 0.85 | 0.85 | 1.07 | 3.26 | 0.09 | 0.06 |
| rs16969520 | C1B2Intron1 (NM_006383.2) | 15 | β76,204,239 | 2.36 | 0.35 | 0.28 | 1.39 | 3.19 | 1.38 | 1.86 |
| rs10902569 | ADAMTS17 Intron3 (NM_139057.1) | 15 | β98,663,829 | 0.08 | 0.67 | 0.67 | 1.03 | 3.10 | 0.64 | 0.41 |
| rs11071129 | UNC13C + 173927 bp (XM_496070) | 15 | β52,882,022 | 0.20 | 0.59 | 0.58 | 1.05 | 3.08 | 1.37 | 2.11 |
| rs1441354 | FLJ13710 β 290691 bp (NM_024817.1) | 15 | β69,517,251 | 0.22 | 0.25 | 0.24 | 1.07 | 3.07 | 5.71 | 0.78 |
| rs11631211 | ATP10A + 61309 bp (NM_024490.2) | 15 | β23,412,204 | 0.22 | 0.86 | 0.85 | 1.08 | 3.06 | 0.10 | 0.07 |
| rs12592527 | UNC13C + 174082 bp (XM_496070) | 15 | β52,882,177 | 0.27 | 0.60 | 0.58 | 1.07 | 3.05 | 1.42 | 2.13 |
| rs4144951 | FLJ38736 Intron17 (NM_182758.1) | 15 | β51,643,802 | 3.40 | 0.16 | 0.09 | 1.82 | 2.73 | 2.80 | 1.87 |
| rs2654216 | EFTUD1 + 28186 bp (NM_024580.3) | 15 | β80,181,440 | 3.18 | 0.60 | 0.51 | 1.44 | 2.57 | 2.14 | 1.54 |
| rs8026133 | SLCO3A1 β 26936 bp (NM_013272.2) | 15 | β90,171,014 | 3.10 | 0.16 | 0.10 | 1.74 | 2.48 | 4.60 | 1.66 |
| rs4780091 | LOC440268 + 506 bp (XM_496063) | 15 | β31,271,629 | 3.26 | 0.63 | 0.54 | 1.46 | 2.46 | 2.02 | 1.37 |
| rs17191316 | ANXA2 + 144537 bp (NM_004039.1) | 15 | β58,282,291 | 3.23 | 0.07 | 0.03 | 2.61 | 2.37 | ND | 2.22 |
| rs12597526 | USP10 + 4263 bp (NM_005153.1) | 16 | β83,374,937 | 1.28 | 0.38 | 0.33 | 1.24 | 3.91 | 2.51 | 0.81 |
| rs2133803 | LOC149329 β 13263 bp (XM_086494) | 16 | β59,665,671 | 1.32 | 0.81 | 0.76 | 1.30 | 3.52 | 4.13 | 4.60 |
| rs288601 | CDH8 β 492870 bp (NM_001796.2) | 16 | β61,120,407 | 1.81 | 0.53 | 0.47 | 1.30 | 3.35 | 1.61 | 0.77 |
| rs1819829 | FLJ31547 Intron9 (NM_145024.1) | 16 | β54,444,785 | 2.53 | 0.79 | 0.73 | 1.46 | 3.32 | 4.58 | 3.80 |
| High- | ||||||||||
| Risk | High- | |||||||||
| Allele | Risk | |||||||||
| Fre- | Allele | Odds | Odds | |||||||
| quency | Fre- | Critical | Ratio | Ratio | ||||||
| Critical | in Glau- | quency | Odds | Rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | coma | in Non- | Ratio | Geno- | zygote) | ozygote) | |||
| mo- | Physical | Allele | Patient | Patient | (Formula | type | (Formula | (Formula | ||
| dbSNP ID | Exon, Intron | some | Location | (-logP) | Group | Group | 3) | (-logP) | 4) | 5) |
| rs2541639 | HBZ + 531 bp (NM_005332.2) | 16 | βββ145,035 | 2.77 | 0.22 | 0.16 | 1.55 | 3.13 | 1.23 | 1.90 |
| rs372657 | LOC283867 β 3128196p (XM_378606) | 16 | 64,480,523 | 3.63 | 0.24 | 0.16 | 1.65 | 2.84 | 3.03 | 1.56 |
| rs173840 | LOC283867 β 313113 bp (XM_378606) | 16 | 64,480,817 | 3.63 | 0.24 | 0.16 | 1.65 | 2.84 | 3.03 | 1.56 |
| rs4843428 | FOXL1 + 137429 bp (NM_005250.1) | 16 | 85,308,297 | 3.20 | 0.88 | 0.81 | 1.66 | 2.75 | 1.89 | 1.05 |
| rs254353 | LOC283867 β 30150713p (XM_378606) | 16 | 64,469,211 | 3.33 | 0.19 | 0.12 | 1.71 | 2.71 | 4.73 | 1.57 |
| rs4077853 | PLCG2 Intron27 (NM_002661.1) | 16 | 80,528,471 | 3.16 | 0.35 | 0.27 | 1.49 | 2.62 | 2.17 | 1.57 |
| rs3859079 | CDH13 β 112144 bp (NM_001257.2) | 16 | 81,105,935 | 3.17 | 0.66 | 0.58 | 1.46 | 2.51 | 2.17 | 1.60 |
| rs8062968 | LOC283867 β 298359 bp (XM_378606) | 16 | 64,466,063 | 3.05 | 0.24 | 0.17 | 1.57 | 2.49 | 1.99 | 1.68 |
| rs11074523 | HS3ST2 Intron + (NM_006043.1) | 16 | 22,734,434 | 3.11 | 0.80 | 0.73 | 1.53 | 2.48 | 2.40 | 1.56 |
| WWOX β 1063753 bp (NM_130844.1), | ||||||||||
| WWOX β 1063753 bp (NM_130791.1), | ||||||||||
| rs8045067 | WWOX β 1063753 bp (NM_016373.1), | 16 | 77,754,805 | 3.35 | 0.75 | 0.67 | 1.52 | 2.43 | 2.17 | 1.49 |
| WWOX β 1063753 bp (NM_018560.4), | ||||||||||
| WWOX β 48197 bp (NM_130792.1) | ||||||||||
| WWOX β 1063238 bp (NM_130844.1), | ||||||||||
| WWOX β 1063238 bp (NM_130791.1), | ||||||||||
| rs12443833 | WWOX β1063238 bp (NM_016373.1), | 16 | 77,754,290 | 3.17 | 0.72 | 0.63 | 1.48 | 2.38 | 2.11 | 1.45 |
| WWOX β 1063238 bp (NM_018560.4), | ||||||||||
| WWOX β 48712 bp (NM_130792.1) | ||||||||||
| rs1877821 | RGS9 β 9409 bp (NM_003835.1) | 17 | 60,605,875 | 1.17 | 0.75 | 0.71 | 1.25 | 3.80 | 3.21 | 3.78 |
| rs9896245 | RGS9 β 11066 bp (NM_003835.1) | 17 | 60,604,218 | 1.45 | 0.75 | 0.70 | 1.29 | 3.65 | 3.30 | 3.62 |
| rs1029754 | LOC401887 + 487202 bp (XM_497555) | 17 | 66,236,699 | 2.11 | 0.89 | 0.84 | 1.51 | 3.62 | 0.23 | 0.12 |
| rs17808998 | NTN1 Intron2 (NM_004822.1) | 17 | β8,919,071 | 2.23 | 0.63 | 0.56 | 1.35 | 3.30 | 1.57 | 0.81 |
| rs9895463 | SPACA3 β 6355 bp (NM_173847.2) | 17 | 28,336,640 | 0.01 | 0.58 | 0.58 | 1.00 | 3.23 | 1.23 | 2.04 |
| rs11868422 | RPH3AL Intron1 (NM_006987.2) | 17 | βββ198,072 | 3.62 | 0.21 | 0.14 | 1.71 | 3.05 | 2.06 | 1.85 |
| rs1877823 | RGS9 + 3031361 bp (NM_003835.1) | 17 | 60,657,405 | 1.20 | 0.77 | 0.73 | 1.26 | 3.03 | 3.22 | 3.52 |
| High- | ||||||||||
| Risk | High- | |||||||||
| Allele | Risk | |||||||||
| Fre- | Allele | Odds | Odds | |||||||
| quency | Fre- | Critical | Ratio | Ratio | ||||||
| Critical | in Glau- | quency | Odds | Rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | coma | in Non- | Ratio | Geno- | zygote) | ozygote) | |||
| mo- | Physical | Allele | Patient | Patient | (Formula | type | (Formula | (Formula | ||
| dbSNP ID | Exon, Intron | some | Location | (-logP) | Group | Group | 3) | (-logP) | 4) | 5) |
| TRPV1 Exon11 (NM_080706.1), | ||||||||||
| rs8065080 | TRPV1 Exon12 (NM_080705.1), | 17 | β3,427,196 | 3.67 | 0.69 | 0.60 | 1.51 | 2.88 | 2.25 | 1.51 |
| TRPV1 Exon12 (NM_0187273), | ||||||||||
| TRPV1 Exon13 (NM_080704.1) | ||||||||||
| rs8082149 | LOC342600 Intron2 (XM_292624) | 17 | 51,927,894 | 3.52 | 0.92 | 0.86 | 1.85 | 2.66 | 3.49 | 1.99 |
| rS2269459 | POLR2A Intron22 (NM_000937.2) | 17 | β7,353,762 | 3.11 | 0.79 | 0.72 | 1.52 | 2.51 | 2.46 | 1.63 |
| rs2072255 | KIAA0672 Intron10 (XM_375408) | 17 | 12,793,117 | 3.09 | 0.21 | 0.14 | 1.63 | 2.43 | 3.35 | 1.53 |
| rs9788983 | RPH3AL Intron6 (NM_006987.2) | 17 | βββ129,457 | 3.05 | 0.89 | 0.82 | 1.65 | 2.40 | 3.21 | 2.00 |
| rs1879610 | LOC441825 + 255198 bp (XM_497596) | 18 | 73,469,750 | 1.98 | 0.95 | 0.91 | 1.72 | 3.48 | 0.26 | 0.11 |
| rs11876045 | LOC441816 β 222690 bp (XM_497584) | 18 | 20,564,102 | 3.73 | 0.28 | 0.20 | 1.61 | 3.41 | 1.79 | 1.88 |
| rs17070861 | BCL2 Intron1 (NM_000633.1), | 18 | 59,057,460 | 0.72 | 0.94 | 0.93 | 1.33 | 3.34 | ND | ND |
| BCL2 + 786551 bp (NM_000657.1) | ||||||||||
| rs1790870 | CYB5 + 163 bp (NM_001914.1), | 18 | 70,071,349 | 3.86 | 0.86 | 0.78 | 1.70 | 3.30 | 1.99 | 1.06 |
| CYB5 + 163 bp (NM_148923.1) | ||||||||||
| rs1790858 | CYB5 Intron3 (NM_001914.1), | 18 | 70,075,799 | 3.74 | 0.86 | 0.78 | 1.68 | 3.18 | 1.99 | 1.08 |
| CYB5 Intron3 (NM_148923.1) | ||||||||||
| rs17187933 | LOC441816 β 214621 bp (XM_497584) | 18 | 20,556,033 | 3.55 | 0.26 | 0.18 | 1.62 | 3.11 | 1.86 | 1.81 |
| rs17088997 | CYB5 + 3361 bp (NM_001914.1), | 18 | 70,068,151 | 3.62 | 0.86 | 0.78 | 1.67 | 3.07 | 1.95 | 1.06 |
| CYB5 + 3361 bp (NM_148923.1) | ||||||||||
| rs1372481 | LOC390856 Intron1 (XM_497590) | 18 | 49,466,756 | 3.51 | 0.96 | 0.92 | 2.35 | 3.07 | 1.52 | 0.58 |
| rs10468763 | CLUL1 Intron5 (NM_014410.4), | 18 | βββ622,239 | 0.40 | 0.22 | 0.21 | 1.12 | 3.06 | 0.50 | 1.61 |
| CLUL1 Intron5 (NM_199167.1) | ||||||||||
| rs3862680 | DCC Intron1 (NM_005215.1) | 18 | 48,184,338 | 3.65 | 0.60 | 0.50 | 1.49 | 2.97 | 2.24 | 1.56 |
| rs3910695 | LOC390856 Intron1 (XM_497590) | 18 | 49,464,638 | 3.35 | 0.96 | 0.92 | 2.28 | 2.90 | 1.53 | 0.60 |
| rs3862681 | DCC Intron1 (NM_005215.1) | 18 | 48,184,688 | 3.53 | 0.60 | 0.50 | 1.48 | 2.84 | 2.19 | 1.54 |
| rs7238490 | METTLA + 571947 bp (NM_022840.2) | 18 | β1,955,583 | 3.40 | 0.71 | 0.62 | 1.49 | 2.72 | 2.04 | 1.27 |
| rs9951036 | LOC390856 Intron1 (XM_497590) | 18 | 49,515,735 | 3.18 | 0.96 | 0.92 | 2.23 | 2.72 | 1.52 | 0.62 |
| High- | ||||||||||
| Risk | High- | |||||||||
| Allele | Risk | |||||||||
| Fre- | Allele | Odds | Odds | |||||||
| quency | Fre- | Critical | Ratio | Ratio | ||||||
| Critical | in Glau- | quency | Odds | Rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | coma | in Non- | Ratio | Geno- | zygote) | ozygote) | |||
| mo- | Physical | Allele | Patient | Patient | (Formula | type | (Formula | (Formula | ||
| dbSNP ID | Exon, Intron | some | Location | (-logP) | Group | Group | 3) | (-logP) | 4) | 5) |
| rs339858 | LOC441816 β 124776 bp (XM_497584) | 18 | 20,466,188 | 3.14 | 0.16 | 0.10 | 1.75 | 2.70 | 1.95 | 1.90 |
| rs11151937 | CYB5 + 4859 bp (NM_001914.1), | 18 | 70,066,653 | 3.06 | 0.53 | 0.44 | 1.43 | 2.68 | 2.01 | 1.68 |
| CYB5 + 4859 bp (NM_148923.1) | ||||||||||
| rs8094863 | LOC90855 Intron3 (XM_497589) | 18 | 47,458,218 | 3.17 | 0.50 | 0.41 | 1.44 | 2.55 | 2.12 | 1.32 |
| rs17260163 | LOC441816 β 250775 bp (XM_497584) | 18 | 20,592,187 | 3.13 | 0.29 | 0.21 | 1.53 | 2.54 | 2.21 | 1.59 |
| rs8086430 | LOC147468 + 250079 bp (XM_091809) | 18 | 20,600,317 | 3.10 | 0.29 | 0.21 | 1.52 | 2.51 | 2.20 | 1.58 |
| rs16940484 | C18orf17 Intron6 (NM_153211.1) | 18 | 19,936,298 | 3.09 | 0.34 | 0.26 | 1.49 | 2.51 | 2.02 | 1.58 |
| rs7229080 | LOC390856 Intron1 (XM_497590) | 18 | 49,503,583 | 3.19 | 0.97 | 0.93 | 2.28 | 2.49 | 3.03 | 1.30 |
| rs10502927 | LOC390855 Intron3 (XM_497589) | 18 | 47,502,071 | 3.01 | 0.49 | 0.41 | 1.43 | 2.45 | 2.09 | 1.27 |
| rs17660384 | ZNF175 β 10715 bp (NM_007147.2) | 19 | 56,755,628 | 3.53 | 0.21 | 0.14 | 1.69 | 3.02 | 5.12 | 1.57 |
| rs2864107 | ZNF175 β 5504 bp (NM_007147.2) | 19 | 56,760,839 | 3.40 | 0.21 | 0.14 | 1.68 | 2.90 | 4.82 | 1.58 |
| rs1433083 | FLJ12644 Exon5 (NM_023074.2) | 19 | 57,085,796 | 3.14 | 0.95 | 0.91 | 2.07 | 2.66 | ND | ND |
| rs6097745 | BCAS1 Intron3 (NM_003657.1) | 20 | 52,101,533 | 1.67 | 0.29 | 0.24 | 1.33 | 3.56 | 1.00 | 1.92 |
| rs2870304 | BCAS1 Intron3 (NM_003657.1) | 20 | 52,106,624 | 1.74 | 0.30 | 0.25 | 1.33 | 3.49 | 1.06 | 1.91 |
| rs8123014 | C20orf23 + 571310 bp (NM_024704.3) | 20 | 15,629,440 | 2.16 | 0.75 | 0.68 | 1.38 | 3.20 | 1.23 | 0.66 |
| rs6115865 | C20orf194 β 37687 bp (XM_045421) | 20 | 3,307,303 | 3.63 | 0.38 | 0.29 | 1.52 | 2.87 | 2.29 | 1.52 |
| rs7268851 | C20orf17 Intron2 (NM_173485.2) | 20 | 51,501,200 | 3.45 | 0.73 | 0.65 | 1.51 | 2.86 | 2.08 | 1.27 |
| rs6134494 | LOC440753 + 240718 bp (XM_498845) | 20 | 12,196,345 | 3.12 | 0.22 | 0.15 | 1.61 | 2.86 | 1.59 | 1.86 |
| rs3817879 | PLCB1 Intron3 (NM_015192.2), | 20 | β8,470,921 | 3.17 | 0.80 | 0.72 | 1.54 | 2.52 | 2.65 | 1.89 |
| PLCB1 Intron3 (NM_182734.1) | ||||||||||
| MATN4 Intron5 (NM_003833.2), | ||||||||||
| rs2743246 | MATN4 Intron4 (NM_030590.1), | 20 | 43,362,112 | 3.10 | 0.88 | 0.88 | 1.64 | 2.43 | 2.97 | 1.85 |
| MATN4 Intron3 (NM_030592.1) | ||||||||||
| rs6014430 | K1AA1755 Intron2 (XM_028810) | 20 | 36,305,948 | 3.05 | 0.11 | 0.06 | 1.94 | 2.03 | 3.66 | 1.69 |
| rs2154450 | RUNX1 Intron5 (NM_001754.2) | 21 | 35,141,436 | 0.85 | 0.44 | 0.40 | 1.18 | 3.94 | 1.14 | 2.01 |
| rs4817695 | RUNX1 Intron5 (NM_001754.2) | 21 | 35,141,187 | 0.66 | 0.44 | 0.41 | 1.14 | 3.69 | 1.10 | 1.94 |
| rs2825423 | LOC388817 + 373452 bp (XM_371409) | 21 | 19,526,124 | 3.31 | 0.26 | 0.19 | 1.58 | 2.64 | 3.09 | 1.38 |
| High- | ||||||||||
| Risk | High- | |||||||||
| Allele | Risk | |||||||||
| Fre- | Allele | Odds | Odds | |||||||
| quency | Fre- | Critical | Ratio | Ratio | ||||||
| Critical | in Glau- | quency | Odds | Rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | coma | in Non- | Ratio | Geno- | zygote) | ozygote) | |||
| mo- | Physical | Allele | Patient | Patient | (Formula | type | (Formula | (Formula | ||
| dbSNP ID | Exon, Intron | some | Location | (-logP) | Group | Group | 3) | (-logP) | 4) | 5) |
| rs4823324 | E46L Intron10 (NM_013236.1) | 22 | 44,558,660 | 3.69 | 0.51 | 0.41 | 1.49 | 3.04 | 2.26 | 1.32 |
| NF2 Intron10 (NM_181825.1), | ||||||||||
| NF2 Intron8 (NM_181831.1), | ||||||||||
| NF2 Intron10 (NM_000268.2), | ||||||||||
| NF2 Instron10 (NM_016418.4), | ||||||||||
| NF2 Intron11 (NM_181826.1), | ||||||||||
| NF2 Intron10 (NM_181827.1), | ||||||||||
| rs2857648 | NF2 Intron9 (NM_181828.1), | 22 | 28,391,122 | 3.02 | 0.73 | 0.65 | 1.46 | 2.79 | 1.67 | 0.95 |
| NF2 Intron9 (NM_181829.1), | ||||||||||
| NF2 Intron8 (NM_181830.1), | ||||||||||
| NF2 Intron10 (NM_181832.1), | ||||||||||
| NF2 Intron4 (NM_181833.1), | ||||||||||
| NF2 Intron5 (NM_181834.1), | ||||||||||
| NF2 Intron8 (NM_181835.1) | ||||||||||
| FBLN1 + 65094 bp (NM_006487.2), | ||||||||||
| rs6006787 | FBLN1 + 60443 bp (NM_001996.2), | 22 | 44,340,222 | 3.31 | 0.50 | 0.40 | 1.46 | 2.72 | 2.22 | 1.38 |
| FBLN1 + 58104 bp (NM_006485.2), | ||||||||||
| FBLN1 + 22671 bp (NM_006486.2) | ||||||||||
| rs572159 | LOC284898 β 273642 bp (XM_379044) | 22 | 26,054,663 | 3.11 | 0.94 | 0.89 | 1.92 | 2.48 | 4.67 | 2.44 |
| rs467812 | C22orf19 Intron2 (NM_003678.3) | 22 | 28,265,503 | 3.22 | 0.27 | 0.19 | 1.56 | 2.48 | 2.23 | 1.57 |
| rs5765558 | E46L β 24767 bp (NM_013236.1) | 22 | 44,363,516 | 3.05 | 0.58 | 0.49 | 1.43 | 2.34 | 2.01 | 1.37 |
| rs6006179 | C22orf19 Intron19 (NM_003678.3) | 22 | 28,231,255 | 3.03 | 0.27 | 0.20 | 1.53 | 2.33 | 2.19 | 1.55 |
Tables 5 to 25 list dbSNP ID number or Affimetrix Array ID number for specifying known single nucleotide polymorphisms obtained, the exon, intron information (in a case where a single nucleotide polymorphism exists on a gene, the gene name and the exon or intron in which SNP exists are shown, and in a case where a single nucleotide polymorphism does not exist on a gene, neighboring genes and a distance between the gene and the single nucleotide polymorphism are shown), the chromosome number at which the single nucleotide polymorphism exists, the physical location of the single nucleotide polymorphism, the p-value for an allele according to a chi-square test (βlog P), the high-risk allele frequencies in the glaucoma patient group and the non-patient group, the odds ratio for an allele, the p-value for a genotype according to a chi-square test (βlog P), the odds ratio for a genotype of a homozygote, and the odds ratio for a genotype of a heterozygote. Here, in the tables, a portion of which odds ratio is indicated as ND shows a case where any one of the number of detection in the denominator is 0, so that the odds ratio could not be calculated.
According to the above studies, 413 single nucleotide polymorphisms of which alleles or genotypes were associated with glaucoma at a p-value of 1Γ10β3 or less were found.
When the allele or genotype frequencies listed in Tables 5 to 25 were compared between the non-patients without having family history and the glaucoma patients, a statistical difference was found. By determining an allele of any one of these single nucleotide polymorphisms, whether or not an allele that is identified in a higher frequency in the glaucoma patient group than that of the non-patient group exists in the sample can be determined.
The comparison on single nucleotide polymorphisms was made for progressive glaucoma cases and nonprogressive glaucoma cases in the same manner as in Example 3.
Concretely, blood donated under the consent on free will of the participants after having sufficiently explained the contents of studies from 210 cases of patients with progressive visual loss within a given time period, despite the treatments for lowering an intraocular pressure such as a drug for lowering an intraocular pressure or a surgical operation (progressive glaucoma cases), and 175 cases of patients without the progression (nonprogressive glaucoma cases), among the primary open-angle glaucoma patients and the normal tension glaucoma patients diagnosed on the basis of Guidelines offered by Japan Glaucoma Society, was used as a specimen, and alleles frequencies and genotypes frequencies between the groups were also compared by performing the analysis in the same manner as in Example 3. Alleles frequencies and genotype frequencies were statistically compared according to the chi-square test in the same manner. Single nucleotide polymorphisms of which alleles or genotypes show association with the progression of glaucoma at a p-value of 1Γ10β4 or less, i.e. βlog P of 4 or more are listed in Tables 26 to 28. Here, the odds ratio for association of an allele with the progression of glaucoma, and the odds ratio for association of a genotype with the progression of glaucoma in each of the tables, respectively were calculated on the basis of the following formulas (6) to (8).
Odds Ratio for Allele=[(Number of Detection of an Allele Identified in High Frequency in Progressive Glaucoma Group, in Progressive Glaucoma Group)/(Number of Detection of an Allele Opposite to the Allele Identified in High Frequency in Progressive Glaucoma Group, in Progressive Glaucoma Group)]/[(Number of Detection of the Allele Identified in High Frequency in Progressive Glaucoma Group, in Nonprogressive Glaucoma Group)/(Number of Detection of the Allele Opposite to the Allele Identified in High Frequency in Progressive Glaucoma Group, in Nonprogressive Glaucoma Group)]ββformula (6)
Odds Ratio for Genotype of Homozygote=[(Number of Detection of a Genotype Having Homozygote of an Allele Identified in High Frequency in Progressive Glaucoma Group, in Progressive Glaucoma Group)/(Number of Detection of a Genotypes Having Homozygote of an Allele Identified in High Frequency in Nonprogressive Glaucoma Group, in Progressive Glaucoma Group)]/[(Number of Detection of the Genotype Having Homozygote of the Allele Identified in High Frequency in Progressive Glaucoma Group, in Nonprogressive Glaucoma Group)/(Number of Detection of the Genotype Having Homozygote of the Allele Identified in High Frequency in Nonprogressive Glaucoma Group, in Nonprogressive Glaucoma Group)]ββformula (7)
Odds Ratio for Genotype of Heterozygote=[(Number of Detection of a Genotype of Heterozygote in Progressive Glaucoma Group)/(Number of Detection of a Genotype Having Homozygote of an Allele Identified in High Frequency in Nonprogressive Glaucoma Group, in Progressive Glaucoma Group)]/[(Number of Detection of the Genotype of Heterozygote in Nonprogressive Glaucoma Group)/(Number of Detection of the Genotype Having Homozygote of the Allele Identified in High Frequency in Nonprogressive Glaucoma Group, in Nonprogressive Glaucoma Group)]ββformula (8)
| High-Risk | |||||||
| High-Risk | Allele | ||||||
| Allele | Frequency | ||||||
| Frequency | in | ||||||
| Critical | in | Non- | |||||
| rate, | Progressive | progressive | |||||
| Allele1/ | Chro- | Physical | Allele | Glaucoma | Glaucoma | ||
| dbSNP ID | Allele2 | Exon, Intron | mosome | Location | (-logP) | Group | Group |
| rs11211059 | A/G | EIF2B3 Intron4 (NM_020365.1) | 1 | β45,099,311 | 0.28 | 0.77 | 0.75 |
| rs4927088 | C/T | SSBP3 Intron4 (NM_145716), | 1 | β54,487,224 | 1.10 | 0.60 | 0.54 |
| SSBP3 Intron4 (NM_018070.2) | |||||||
| rs10172264 | G/T | LOC402072 + 152420 bp (XM_377741) | 2 | β53,313,788 | 4.32 | 0.20 | 0.09 |
| rs10460373 | G/T | UBE2E3 β 372131 bp (NM_182678.1), | 2 | 181,298,487 | 3.24 | 0.82 | 0.72 |
| UBE2E3 β 372361 bp (NM_006357.2) | |||||||
| rs1520855 | C/T | FLJ12519 β 24239 bp (NM_032168.1) | 2 | 190,107,426 | 1.13 | 0.65 | 0.59 |
| rs1827101 | C/T | ITPR1 + 2326 bp (NM_002222.1) | 3 | ββ4,866,407 | 1.36 | 0.75 | 0.69 |
| rs4635691 | C/G | ITPR1 + 2783 bp (NM_002222.1) | 3 | ββ4,866,864 | 1.24 | 0.75 | 0.69 |
| rs9819062 | A/C | ITPR1 + 14847 bp (NM_002222.1) | 3 | ββ4,878,928 | 1.41 | 0.75 | 0.68 |
| rs12638937 | G/T | ITPR1 + 15316 bp (NM_002222.1) | 3 | ββ4,879,397 | 1.32 | 0.75 | 0.69 |
| rs3805345 | A/G | PAPSS1 Intron5 (NM_005443.4) | 4 | 108,943,706 | 3.56 | 0.65 | 0.52 |
| rs3805347 | C/T | PAPSS1 Intron5 (NM_005443.4) | 4 | 108,959.666 | 3.70 | 0.67 | 0.53 |
| rs17066530 | A/G | LOC285501 + 636489 bp (XM_209640) | 4 | 179,923,545 | 4.60 | 0.92 | 0.81 |
| rs405806 | A/C | LOC441062 + 175809 bp (XM_498994) | 5 | β18,167,512 | 4.03 | 0.55 | 0.41 |
| rs401889 | A/G | LOC441062 + 175873 bp (XM_498994) | 5 | β18,167,576 | 4.60 | 0.53 | 0.38 |
| rs4308461 | A/C | SV2C β 75087 bp (XM_403493) | 5 | β75,339,908 | 4.03 | 0.79 | 0.66 |
| rs2547455 | C/T | SV2C β 33137 bp (XM_043493) | 5 | β75,381,858 | 4.40 | 0.80 | 0.67 |
| rs2042974 | C/G | LHFPL2 β 11058 bp (NM_005779.1) | 5 | β77,852,925 | 1.24 | 0.86 | 0.81 |
| rs7719483 | A/C | LHFPL2 β 19056 bp (NM_005779.1) | 5 | β77,860,923 | 0.88 | 0.86 | 0.82 |
| rs17215893 | C/T | LHFPL2 β 20235 bp (NM_005779.1) | 5 | β77,862,102 | 0.85 | 0.86 | 0.82 |
| rs10045987 | C/T | LHFPL2 β 31149 bp (NM_005779.1) | 5 | β77,873,016 | 0.88 | 0.86 | 0.82 |
| rs11949567 | A/G | LHFPL2 β 35281 bp (NM_005779.1) | 5 | β77,877,148 | 0.88 | 0.86 | 0.82 |
| rs11950379 | A/G | LHFPL2 β 35775 bp (NM_005779.1) | 5 | β77,877,642 | 0.79 | 0.85 | 0.82 |
| rs6860516 | A/G | LHFPL2 β 35961 bp (NM_005779.1) | 5 | β77,877,828 | 0.88 | 0.86 | 0.82 |
| rs6881598 | A/G | LHFPL2 β 37710 bp (NM_005779.1) | 5 | β77,879,577 | 0.88 | 0.86 | 0.82 |
| Odds | Odds | ||||||
| Critical | Ratio | Ratio | |||||
| Odds | rate, | Homo- | Hetero- | Sequence | Sequence | ||
| High Risk | Ratio | Genotype | zygote1) | zygote) | Containing | Containing | |
| dbSNP ID | Allele | (Formula 6) | (-logP) | (Formula 7) | (Formula 8) | Allele 1 | Allele 2 |
| rs11211059 | Allele 2 | 1.12 | 4.51 | 9.28 | 15.68 | SEQ ID No: 81 | SEQ ID No: 82 |
| rs4927088 | Allele 1 | 1.29 | 1.56 | 2.12 | 3.61 | SEO ID No: 83 | SEQ ID No: 84 |
| rs10172264 | Allele 1 | 2.43 | 3.91 | 2.54 | 2.85 | SEQ ID No: 85 | SEQ ID No: 86 |
| rs10460373 | Allele 1 | 1.81 | 4.16 | 1.42 | 0.54 | SEQ ID No: 87 | SEQ ID No: 88 |
| rs1520855 | Allele 1 | 1.31 | 4.67 | 2.51 | 4.22 | SEQ ID No: 89 | SEQ ID No: 90 |
| rs1827101 | Allele 2 | 1.39 | 4.66 | 0.73 | 0.29 | SEQ ID No: 91 | SEQ ID No: 92 |
| rs4635691 | Allele 1 | 1.36 | 4.25 | 0.76 | 0.31 | SEQ ID No: 93 | SEQ ID No: 94 |
| rs9819062 | Allele 1 | 1.39 | 4.23 | 0.81 | 0.33 | SEQ ID No: 95 | SEQ ID No: 96 |
| rs12638937 | Allele 1 | 1.38 | 4.03 | 0.80 | 0.33 | SEQ ID No: 97 | SEQ ID No: 98 |
| rs3805345 | Allele 2 | 1.73 | 4.10 | 2.57 | 0.94 | SEQ ID No: 99 | SEQ ID No: 100 |
| rs3805347 | Allele 2 | 1.77 | 4.07 | 2.92 | 1.09 | SEQ ID No: 101 | SEQ ID No: 102 |
| rs17066530 | Allele 1 | 2.62 | 4.15 | 4.56 | 1.55 | SEQ ID No: 103 | SEQ ID No: 104 |
| rs405806 | Allele 2 | 1.77 | 3.38 | 2.95 | 2.11 | SEQ ID No: 105 | SEQ ID No: 106 |
| rs401889 | Allele 2 | 1.86 | 4.14 | 3.23 | 2.37 | SEQ ID No: 107 | SEQ ID No: 108 |
| rs4308461 | Allele 1 | 1.89 | 3.12 | 3.36 | 1.81 | SEQ ID No: 109 | SEQ ID No: 110 |
| rs2547455 | Allele 1 | 1.97 | 3.63 | 3.03 | 1.39 | SEQ ID No: 111 | SEQ ID No: 112 |
| rs2042974 | Allele 2 | 1.47 | 4.37 | ND | ND | SEQ ID No: 113 | SEQ ID No: 114 |
| rs7719483 | Allele 2 | 1.34 | 5.18 | ND | ND | SEQ ID No: 115 | SEQ ID No: 116 |
| rs17215893 | Allele 1 | 1.34 | 5.14 | ND | ND | SEQ ID No: 117 | SEQ ID No: 118 |
| rs10045987 | Allele 2 | 1.34 | 5.18 | ND | ND | SEQ ID No: 119 | SEQ ID No: 120 |
| rs11949567 | Allele 2 | 1.34 | 5.18 | ND | ND | SEQ ID No: 121 | SEQ ID No: 122 |
| rs11950379 | Allele 2 | 1.31 | 4.97 | ND | ND | SEQ ID No: 123 | SEQ ID No: 124 |
| rs6860516 | Allele 1 | 1.34 | 5.18 | ND | ND | SEQ ID No: 125 | SEQ ID No: 126 |
| rs6881598 | Allele 2 | 1.34 | 5.18 | ND | ND | SEQ ID No: 127 | SEQ ID No: 128 |
| High-Risk | |||||||
| High-Risk | Allele | ||||||
| Allele | Frequency | ||||||
| Frequency | in | ||||||
| Critical | in | Non- | |||||
| Allele1/ | Chro- | Physical | rate, | Progressive | progressive | ||
| dbSNP ID | Allele2 | Exon, Intron | mosome | Location | Allele | Glaucoma | Glaucoma |
| rs6886783 | C/T | LHFPL2 β 37765 bp (NM_005779.1) | 5 | β77,879,632 | (-logP) | Group | Group |
| rs6877525 | C/T | LHFPL2 β 38871 bp (NM_005779.1) | 5 | β77,880,738 | 0.88 | 0.86 | 0.82 |
| rs12697888 | C/T | LHFPL2 β 53535 bp (NM_005779.1) | 5 | β77,895,402 | 0.88 | 0.86 | 0.82 |
| rs1978629 | C/T | LHFPL2 β 56045 bp (NM_005779.1) | 5 | β77,897,912 | 0.88 | 0.86 | 0.82 |
| rs10076149 | C/C | LHFPL2 β 68743 bp (NM_005779.1) | 5 | β77,910,610 | 0.88 | 0.86 | 0.82 |
| rs730781 | C/T | LHFPL2 β 84106 bp (NM_005779.1) | 5 | β77,925,973 | 0.85 | 0.86 | 0.82 |
| rs9461154 | C/T | LRRC16 β 112934 bp (NM_0176402) | 6 | β25,506,014 | 1.41 | 0.32 | 0.25 |
| rs13193932 | C/G | ARHGAP18 Intron1 (NM_033515.2) | 6 | 130,008,475 | 1.70 | 0.83 | 0.76 |
| rs17070863 | A/G | LOC441173 + 172209 bp | 6 | 141,772,290 | 4.46 | 0.55 | 0.40 |
| (XM_496827) | |||||||
| rs1877885 | C/G | LOC340268 Intron1 (XM_294634) | 7 | ββ9,625,295 | 4.29 | 0.60 | 0.45 |
| rs1913603 | A/C | LOC340268 Intron1 (XM_294634) | 7 | ββ9,664,816 | 4.03 | 0.64 | 0.49 |
| HDAC9 Intron21 (NM_058176.1), | |||||||
| HDAC9 Intron21 (NM_178423.1), | |||||||
| rs10230371 | A/G | HDAC9 Intron19 (NM_178425.1), | 7 | β18,668,137 | 1.05 | 0.41 | 0.35 |
| HDAC9 + 186432 bp (NM_014707.1), | |||||||
| HDAC9 + 19615 bp (NM 058177.1) | |||||||
| rs17152739 | A/G | LOC401384 + 201741 bp | 7 | β78,935,541 | 4.66 | 0.78 | 0.64 |
| (XM_379506) | |||||||
| rs4316157 | C/T | LOC340357 Intron3 (XM_499106) | 8 | β12,677,322 | 4.65 | 0.48 | 0.33 |
| NRG1 β 233743 bp (NM_013958.1), | |||||||
| NRG1 β 233775 bp (NM_013957.1), | |||||||
| NRG1 β 233799 bp (NM_004495.1), | |||||||
| NRG1 β 233842 bp (NM_013961.1), | |||||||
| rs10503907 | A/G | NRG1 β 234103 bp (NM_013964.1), | 8 | β32,291,552 | 4.11 | 0.92 | 0.83 |
| NRG1 β 234127 bp (NM_013960.1), | |||||||
| NRG1 β 234143 bp (NM_013956.1), | |||||||
| NRG1 β 281336 bp (NM_013962.1), | |||||||
| NRG1 β 332731 bp (NM_013959.1) | |||||||
| Odds | Odds | ||||||
| Critical | Ratio | Ratio | |||||
| Odds | rate, | Homo- | Hetero- | Sequence | Sequence | ||
| High Risk | Ratio | Genotype | zygote1) | zygote) | Containing | Containing | |
| dbSNP ID | Allele | (Formula 6) | (-logP) | (Formula 7) | (Formula 8) | Allele 1 | Allele 2 |
| rs6886783 | Allele | 1.34 | 5.18 | ND | ND | SEQ ID No: 129 | SEQ ID No: 130 |
| rs6877525 | Allele 2 | 1.34 | 5.18 | ND | ND | SEQ ID No: 131 | SEQ ID No: 132 |
| rs12697888 | Allele 1 | 1.34 | 5.18 | ND | ND | SEQ ID No: 133 | SEQ ID No: 134 |
| rs1978629 | Allele 2 | 1.34 | 5.18 | ND | ND | SEQ ID No: 135 | SEQ ID No: 136 |
| rs10076149 | Allele 2 | 1.34 | 5.18 | ND | ND | SEQ ID No: 137 | SEQ ID No: 138 |
| rs730781 | Allele 1 | 1.34 | 5.09 | ND | ND | SEQ ID No: 139 | SEQ ID No: 140 |
| rs9461154 | Allele 2 | 1.39 | 4.01 | 11.34 | 0.85 | SEQ ID No: 141 | SEQ ID No: 142 |
| rs13193932 | Allele 2 | 1.52 | 4.30 | 22.83 | 26.08 | SEQ ID No: 143 | SEQ ID No: 144 |
| rs17070863 | Allele 2 | 1.86 | 3.61 | 3.42 | 1.72 | SEQ ID No: 145 | SEQ ID No: 146 |
| rs1877885 | Allele 2 | 1.80 | 3.67 | 3.45 | 2.04 | SEQ ID No: 147 | SEQ ID No: 148 |
| rs1913603 | Allele 2 | 1.79 | 3.75 | 3.85 | 2.37 | SEQ ID No: 149 | SEQ ID No: 150 |
| rs10230371 | Allele 1 | 1.29 | 4.38 | 1.11 | 2.63 | SEQ ID No: 151 | SEQ ID No: 152 |
| rs17152739 | Allele 2 | 1.98 | 3.78 | 3.43 | 1.65 | SEQ ID No: 153 | SEQ ID No: 154 |
| rs4316157 | Allele 2 | 1.89 | 3.65 | 3.29 | 1.88 | SEQ ID No: 155 | SEQ ID No: 156 |
| rs10503907 | Allele 1 | 2.46 | 3.27 | 8.80 | 3.83 | SEQ ID No: 157 | SEQ ID No: 158 |
| High-Risk | |||||||
| High-Risk | Allele | ||||||
| Allele | Frequency | ||||||
| Frequency | in | ||||||
| Critical | in | Non- | |||||
| Allele1/ | Chro- | Physical | rate, | Progressive | progressive | ||
| dbSNP ID | Allele2 | Exon, Intron | mosome | Location | Allele | Glaucoma | Glaucoma |
| rs9650336 | C/T | LOC286140 β 47376 bp | 8 | β38,625,315 | 4.11 | 0.67 | 0.53 |
| (XM_ 209913) | |||||||
| rs1541082 | A/C | PIP5K1B Intron15 (NM_003558.1) | 9 | β68,851,654 | 4.05 | 0.37 | 0.24 |
| rs4979255 | C/T | LOC442430 β 505186p (XM_498339) | 9 | 107,542,392 | 1.50 | 0.69 | 0.61 |
| rs2395453 | C/G | KCNMA1 Intron18 (NM_002247.2) | 10 | β78,411,565 | 1.77 | 0.60 | 0.51 |
| rs2131216 | A/T | KCNMA1 Intron18 (NM_002247.2) | 10 | β78,426,609 | 1.69 | 0.59 | 0.51 |
| rs7112492 | A/C | LDHA β 10601 bp (NM_005566.1) | 11 | β18,362,086 | 3.70 | 0.38 | 0.26 |
| rs4755605 | C/T | LOC387761 β 170163 bp | 11 | β42,404,449 | 3.08 | 0.57 | 0.45 |
| (XM_373495) | |||||||
| rs10892454 | A/C | LOC440070 + 32494 bp (XM_498530) | 11 | 119,148,037 | 0.09 | 0.47 | 0.47 |
| rs4269933 | C/T | LOC440370 + 38035 bp (XM_498530) | 11 | 119,153,578 | 0.08 | 0.47 | 0.47 |
| rs2322728 | A/G | FLJ40224 + 258937 bp | 11 | 126,640,100 | 0.04 | 0.28 | 0.28 |
| (NM_173579.1) | |||||||
| rs4350423 | A/G | FLJ40126 Intron18 (NM_173599.1), | 12 | β38,515,235 | 4.28 | 0.24 | 0.13 |
| SLC2A13 Intron6 (NM_052885.1) | |||||||
| rs10784314 | C/T | PPM1H Intron4 (XM_350880) | 12 | β61,442,746 | 1.93 | 0.85 | 0.78 |
| rs4408378 | A/G | LOC401725 + 252078 bp | 12 | β82,300,515 | 4.01 | 0.82 | 0.70 |
| (XM_377278) | |||||||
| rs11059862 | A/G | DKFZp76102018 + 33295 bp | 12 | 127,750,629 | 4.11 | 0.94 | 0.85 |
| (XM_044062) | |||||||
| rs17184839 | A/G | LOC440142 + 13577 bp (XM_495960) | 13 | β59,763,528 | 4.07 | 0.14 | 0.05 |
| rs7212115 | G/T | LOC400573 β 182083 bp | 17 | β10,832,202 | 4.05 | 0.88 | 0.78 |
| (XM_378649) | |||||||
| rs295869 | C/T | LOC388375 + 71591 bp (XM_373726) | 17 | β32,221,458 | 2.76 | 0.44 | 0.33 |
| rs6045676 | C/G | PDYN + 18232 bp (NM_024411.2) | 20 | ββ1,889,171 | 4.11 | 0.35 | 0.22 |
| rs909882 | A/G | CHD6 Intron24 (NM_032221.3) | 20 | β39,509,923 | 4.37 | 0.81 | 0.68 |
| rs6017164 | C/T | C20orf65 β 26539 bp (NM_176791.2) | 20 | β41,815,520 | 4.15 | 0.55 | 0.40 |
| rs7275647 | A/G | NCAM2 Intron5 (NM_004540.2) | 21 | β21,586,912 | 4.62 | 0.69 | 0.55 |
| rs2837255 | A/C | PCP4 β 17259 bp (NM_006198.1) | 21 | β40,143.991 | 4.33 | 0.70 | 0.56 |
| Odds | Odds | ||||||
| Critical | Ratio | Ratio | |||||
| Odds | rate, | Homo- | Hetero- | Sequence | Sequence | ||
| High Risk | Ratio | Genotype | zygote1) | zygote) | Containing | Containing | |
| dbSNP ID | Allele | (Formula 6) | (-logP) | (Formula 7) | (Formula 8) | Allele 1 | Allele 2 |
| rs9650336 | Allele 1 | 1.80 | 4.06 | 2.58 | 1.02 | SEQ ID No: 159 | SEQ ID No: 160 |
| rs1541082 | Allele 1 | 1.87 | 3.54 | 4.89 | 1.65 | SEQ ID No: 161 | SEQ ID No: 162 |
| rs4979255 | Allele 1 | 1.39 | 4.03 | 1.16 | 0.46 | SEQ ID No: 163 | SEQ ID No: 164 |
| rs2395453 | Allele 1 | 1.42 | 4.73 | 1.68 | 0.55 | SEQ ID No: 165 | SEQ ID No: 166 |
| rs2131216 | Allele 2 | 1.40 | 4.14 | 1.72 | 0.59 | SEQ ID No: 167 | SEQ ID No: 168 |
| rs7112492 | Allele 2 | 1.80 | 4.03 | 2.25 | 2.50 | SEQ ID No: 169 | SEQ ID No: 170 |
| rs4755605 | Allele 1 | 1.63 | 4.13 | 3.34 | 3.05 | SEQ ID No: 171 | SEQ ID No: 172 |
| rs10892454 | Allele 1 | 1.03 | 4.12 | 1.29 | 0.45 | SEQ ID No: 173 | SEQ ID No: 174 |
| rs4269933 | Allele 2 | 1.03 | 4.20 | 1.29 | 0.44 | SEQ ID No: 175 | SEQ ID No: 176 |
| rs2322728 | Allele 2 | 1.02 | 4.00 | 3.53 | 0.55 | SEQ ID No: 177 | SEQ ID No: 178 |
| rs4350423 | Allele 2 | 2.20 | 3.41 | 8.59 | 1.82 | SEQ ID No: 179 | SEQ ID No: 180 |
| rs10784314 | Allele 1 | 1.62 | 5.56 | ND | ND | SEQ ID No: 181 | SEQ ID No: 182 |
| rs4408378 | Allele 1 | 1.97 | 3.22 | 3.63 | 1.81 | SEQ ID No: 183 | SEQ ID No: 184 |
| rs11059862 | Allele 1 | 2.61 | 3.33 | 5.98 | 2.27 | SEQ ID No: 185 | SEQ ID No: 186 |
| rs17184839 | Allele 1 | 2.98 | 3.54 | ND | 3.09 | SEQ ID No: 187 | SEQ ID No: 188 |
| rs7212115 | Allele 2 | 2.17 | 2.12 | 2.65 | 1.55 | SEQ ID No: 189 | SEQ ID No: 190 |
| rs295869 | Allele 1 | 1.60 | 4.93 | 1.80 | 3.00 | SEQ ID No: 191 | SEQ ID No: 192 |
| rs6045676 | Allele 2 | 1.91 | 3.66 | 2.90 | 2.23 | SEQ ID No: 193 | SEQ ID No: 194 |
| rs909882 | Allele 1 | 2.01 | 3.58 | 4.37 | 2.25 | SEQ ID No: 195 | SEQ ID No: 196 |
| rs6017164 | Allele 2 | 1.80 | 3.44 | 3.33 | 1.62 | SEQ ID No: 197 | SEQ ID No: 198 |
| rs7275647 | Allele 1 | 1.89 | 3.98 | 3.18 | 1.43 | SEQ ID No: 199 | SEQ ID No: 200 |
| rs2837255 | Allele 1 | 1.86 | 3.37 | 3.28 | 1.82 | SEQ ID No: 201 | SEQ ID No: 202 |
Tables 26 to 28 list dbSNP ID number or Affimetrix Array ID number specifying known single nucleotide polymorphisms obtained, each of bases constituting Allele 1 and Allele 2, the exon, intron information (in a case where a single nucleotide polymorphism exists on a gene, the gene name and the exon or intron in which SNP exists are shown, and in a case where a single nucleotide polymorphism does not exist on a gene, neighboring genes and a distance between the gene and the single nucleotide polymorphism are shown), the chromosome number at which the single nucleotide polymorphism exists, the physical location of the single nucleotide polymorphism, the p-value for an allele according to a chi-square test (βlog P), the high-risk allele frequencies in the progressive glaucoma group and the nonprogressive glaucoma group, the type of the high-risk allele (indicating whether the high-risk allele is Allele 1 or Allele 2), the odds ratio for an allele, the p-value for genotype according to a chi-square test (βlog P), the odds ratio for a genotype of a homozygote, the odds ratio for a genotype of a heterozygote, and SEQ ID NO of the sequence containing Allele 1 and SEQ ID NO of the sequence containing Allele 2 in each of the polymorphic sites. Here, in the tables, a portion of which odds ratio is indicated as ND shows a case where any one of the number of detection in the denominator is 0, so that the odds ratio could not be calculated.
According to the above studies, 61 single nucleotide polymorphisms of which alleles or genotypes were associated with the progression of glaucoma at a p-value of 1Γ10β4 or less were found.
When the allele or genotype frequencies listed in Tables 26 to 28 were compared between the progressive glaucoma cases and the nonprogressive glaucoma cases, a statistical difference was found. By determining an allele of any one of these single nucleotide polymorphisms, whether or not an allele that is identified in a higher frequency in the progressive glaucoma group than that of the nonprogressive glaucoma group exists in the sample can be determined.
The allele or genotype identified in a high frequency in the progressive glaucoma group for a single nucleotide polymorphism listed in Tables 26 to 28 can be used as a marker showing that a progressive risk of glaucoma is high. On the other hand, an allele that is opposite to the allele or a genotype other than the genotype can be used as a marker showing that a progressive risk of glaucoma is low.
Also, a single nucleotide polymorphism of which allele or genotype shows association with the progression of glaucoma at a p-value of 1Γ10β3 or less, i.e. βlog P of 3 or more, is listed in Tables 29 to 51.
| High- | High- | |||||||||
| Risk | Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Ratio | Ratio | |||||||
| Critical | in Progres- | in Non- | Odds | Critical | (Homo- | (Heter- | ||||
| Chro- | rate, | sive | progressive | Ratio | rate, | zygote) | ozygote) | |||
| mo- | Physical | Allele | Glaucoma | Glaucoma | (Formula | Genotype | (Formula | (Formula | ||
| DBSNP_ID | Exon, Intron | some | Location | (-logP) | Group | Group | 6) | (-logP) | 7) | 8) |
| rs1920146 | FMO3 β 14117 bp | 1 | 167,777,607 | 3.00 | 0.16 | 0.08 | 2.14 | 3.79 | 0.78 | 3.05 |
| (NM_006894.3) | ||||||||||
| rs594105 | C8A Intron4 (NM_000562.1) | 1 | β57,055,277 | 0.82 | 0.65 | 0.60 | 1.24 | 3.74 | 0.95 | 0.41 |
| rs490647 | GRIK3 + 23871 bp | 1 | β36,911,836 | 3.13 | 0.39 | 0.28 | 1.69 | 3.43 | 1.92 | 2.39 |
| (NM_000831.2) | ||||||||||
| rs10489624 | C8A Intron6 (NM_000562.1) | 1 | β57,061,635 | 0.83 | 0.65 | 0.60 | 1.24 | 3.39 | 1.00 | 0.44 |
| rs11117962 | LOC128153 + 9779 bp | 1 | 214,438,658 | 1.33 | 0.60 | 0.53 | 1.34 | 3.32 | 1.49 | 0.60 |
| (NM_138796.2) | ||||||||||
| rs868162 | NPHP Intron22 (NM_015102.2) | 1 | ββ5,868,502 | 0.74 | 0.76 | 0.72 | 1.25 | 3.32 | 0.41 | 0.21 |
| rs525798 | GRIK3 + 25728 bp | 1 | β36,909,979 | 3.12 | 0.40 | 0.28 | 1.68 | 3.28 | 1.97 | 2.33 |
| (NM_000831.2) | ||||||||||
| rs11120300 | SMYD2 Intron11 | 1 | 210,897,894 | 1.38 | 0.08 | 0.04 | 1.90 | 3.14 | 0.23 | 4.08 |
| (NM_020197.1) | ||||||||||
| rs10494300 | KCNN3 Intron3 | 1 | 151,539,619 | 3.13 | 0.61 | 0.49 | 1.64 | 3.14 | 2.56 | 1.09 |
| (NM_170782.1), | ||||||||||
| KCNN3 Intron3 | ||||||||||
| (NM_002249.3) | ||||||||||
| rs17401966 | KIF1B Intron24 | 1 | β10,319,737 | 2.53 | 0.28 | 0.19 | 1.68 | 3.09 | 17.83 | 1.28 |
| (NM_015074.2), | ||||||||||
| KIF1B + 18633 bp | ||||||||||
| (NM_183416.2) | ||||||||||
| rs687328 | GADD45A β 40088 bp | 1 | β67,822,816 | 3.19 | 0.75 | 0.63 | 1.71 | 3.07 | 3.66 | 3.07 |
| (NM_001924.2) | ||||||||||
| rs7517439 | EIF2B3 + 3647 bp | 1 | β44,981,960 | 0.01 | 0.75 | 0.75 | 1.01 | 3.05 | 4.99 | 7.80 |
| (NM_020365.1) | ||||||||||
| rs479714 | GRIK3 + 26576 bp | 1 | β36,909,131 | 2.84 | 0.39 | 0.28 | 1.64 | 3.01 | 1.86 | 2.26 |
| (NM_000831.2) | ||||||||||
| rs7528341 | GRIK3 + 125440 bp | 1 | β36,810,267 | 3.27 | 0.75 | 0.63 | 1.73 | 2.97 | 2.40 | 1.14 |
| (NM_000831.2) | ||||||||||
| rs1339411 | KCNK2 + 61589 bp | 1 | 211,859,142 | 3.20 | 0.33 | 0.22 | 1.76 | 2.91 | 2.53 | 2.08 |
| (NM_014217.1) | ||||||||||
| rs947130 | LOC391075 β 11088 bp | 1 | 119,728,774 | 3.47 | 0.82 | 0.71 | 1.86 | 2.89 | 4.69 | 2.75 |
| (XM_497702) | ||||||||||
| rs7534078 | SYT2 Intron1 (NM_177402.3) | 1 | 199,346,710 | 3.84 | 0.37 | 0.25 | 1.84 | 2.89 | 2.83 | 1.87 |
| rs479779 | GRIK3 + 10551 bp | 1 | β36,925,156 | 3.03 | 0.39 | 0.28 | 1.67 | 2.86 | 2.00 | 2.16 |
| (NM_000831.2) | ||||||||||
| rs2993076 | GRIK3 + 5529 bp | 1 | β36,930,178 | 3.00 | 0.36 | 0.25 | 1.69 | 2.84 | 2.00 | 2.15 |
| (NM_000831.2) | ||||||||||
| rs11590929 | LMO4 + 403174 bp | 1 | β87,926,458 | 3.65 | 0.96 | 0.89 | 2.98 | 2.83 | 4.15 | 1.35 |
| (NM_006769.2) | ||||||||||
| rs1416658 | KCNK2 + 6613 bp | 1 | 211,804,166 | 3.28 | 0.32 | 0.21 | 1.79 | 2.82 | 2.63 | 2.02 |
| (NM_014217.1) | ||||||||||
| rs4652921 | GRIK3 + 91841 bp | 1 | β36,843,866 | 3.22 | 0.66 | 0.54 | 1.67 | 2.81 | 2.56 | 1.25 |
| (NM_000831.2) | ||||||||||
| rs10157596 | SLC35F3 β 17535 bp | 1 | 230,329,879 | 3.29 | 0.71 | 0.59 | 1.71 | 2.80 | 3.48 | 2.28 |
| (NM_173508.1) | ||||||||||
| rs1416659 | KCNK2 + 6647 bp | 1 | 211,804,200 | 3.17 | 0.31 | 0.21 | 1.77 | 2.79 | 2.48 | 2.04 |
| (NM_014217.1) | ||||||||||
| High- | High- | |||||||||
| Risk | Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| quency | quency | Ratio | Ratio | |||||||
| Critical | in Progres- | in Non - | Odds | Critical | (Homo- | (Heter- | ||||
| Chro- | rate, | sive | progressive | Ratio | rate, | zygote) | ozygote) | |||
| mo- | Physical | Allele | Glaucoma | Glaucoma | (Formula | Genotype | (Formula | (Formula | ||
| DBSNP_ID | Exon, Intron | some | Location | (-logP) | Group | Group | 6) | (-logP) | 7) | 8) |
| rs11120527 | KCNK2 Intron6 | 1 | 211,796,452 | 3.16 | 0.32 | 0.21 | 1.77 | 2.79 | 2.49 | 2.05 |
| (NM_014217.1) | ||||||||||
| rs10494994 | KCNK2 Intron5 | 1 | 211,750,602 | 3.50 | 0.26 | 0.16 | 1.93 | 2.76 | 3.29 | 1.97 |
| (NM_014217.1) | ||||||||||
| rs6665581 | VAMP4 β 9932 bp | 1 | 168,452,803 | 3.09 | 0.39 | 0.27 | 1.69 | 2.72 | 3.73 | 1.38 |
| (NM_201994.1), | ||||||||||
| VAMP4 β 9932 bp | ||||||||||
| (NM_003762.2) | ||||||||||
| rs12120152 | VA MP4 β 12595 bp | 1 | 168,455,466 | 3.09 | 0.39 | 0.27 | 1.69 | 2.72 | 3.73 | 1.38 |
| (NM_201994.1), | ||||||||||
| VAMP4 β 12595 bp | ||||||||||
| (NM_003762.2) | ||||||||||
| rs2293325 | CD3Z Intron1 | 1 | 164,157,804 | 3.18 | 0.78 | 0.67 | 1.74 | 2.69 | 2.74 | 1.41 |
| (NM_000734.2), | ||||||||||
| CD3Z Intron1 | ||||||||||
| (NM_198053.1) | ||||||||||
| rs6577539 | CA6 β 16705 bp | 1 | ββ8,923,501 | 3.16 | 0.94 | 0.87 | 2.40 | 2.69 | ND | ND |
| (NM_001215.1) | ||||||||||
| rs34305923 | GRIK3 + 122474 bp | 1 | β36,813,233 | 3.10 | 0.74 | 0.62 | 1.69 | 2.66 | 2.43 | 1.23 |
| (NM_000831.2) | ||||||||||
| rs1315219 | FLJ23129 Intron7 | 1 | β67,031,546 | 3.32 | 0.58 | 0.45 | 1.67 | 2.63 | 2.78 | 1.54 |
| (NM_024763.3), | ||||||||||
| FLJ123129 Intron7 | ||||||||||
| (NM_207014.1) | ||||||||||
| rs10798603 | VAMP4 Intron4 | 1 | 168,412,039 | 3.37 | 0.36 | 0.24 | 1.77 | 2.60 | 3.30 | 1.65 |
| (NM_201994.1), | ||||||||||
| VAMP4 Intron4 | ||||||||||
| (NM_003762.2) | ||||||||||
| rs1317252 | TDE2L Intron2 | 1 | β31,566,351 | 3.25 | 0.91 | 0.82 | 2.10 | 2.51 | 4.36 | 2.10 |
| (NM_178865.2) | ||||||||||
| rs12024194 | VAMP4 β 12277 bp | 1 | 168,455,148 | 3.21 | 0.22 | 0.13 | 1.95 | 2.44 | 4.16 | 1.86 |
| (NM_201994.1), | ||||||||||
| VAMP4 β 12277 bp | ||||||||||
| (NM_003762.2) | ||||||||||
| rs10489250 | VAMP4 β 4860 bp | 1 | 168,447,731 | 3.03 | 0.22 | 0.13 | 1.91 | 2.28 | 3.12 | 1.91 |
| (NM_201994.1), | ||||||||||
| VAMP4 β 4860 bp | ||||||||||
| (NM_003762.2) | ||||||||||
| rs271351 | LOC391025 β 173869 bp | 1 | β29,821,213 | 3.21 | 0.16 | 0.08 | 2.22 | 2.23 | 4.90 | 1.96 |
| (XM_372775) | ||||||||||
| rs6689380 | LOC339535 β 409013 bp | 1 | 235,384,371 | 3.08 | 0.97 | 0.92 | 3.08 | 2.17 | ND | ND |
| (XM_378941) | ||||||||||
| rs9943293 | VAMP4 + 14337 bp | 1 | 168,386,625 | 3.03 | 0.34 | 0.23 | 1.71 | 2.16 | 2.67 | 1.65 |
| (NM_201994.1), | ||||||||||
| VAMP4 + 18093 bp | ||||||||||
| (NM_003762.2) | ||||||||||
| rs4342884 | VAMP4 Intron4 | 1 | 168,416,489 | 3.03 | 0.36 | 0.25 | 1.72 | 2.11 | 2.81 | 1.52 |
| (NM_201994.1), | ||||||||||
| VAMP4 Intron4 | ||||||||||
| (NM_003762.2) | ||||||||||
| rs11691504 | UBE2E3 β 377923 bp | 2 | 181,292,695 | 3.11 | 0.82 | 0.72 | 1.79 | 3.96 | 1.41 | 0.55 |
| (NM_182678.1), | ||||||||||
| UBE2E3 β 378153 bp | ||||||||||
| (NM_006357.2) | ||||||||||
| High- | High- | |||||||||
| Risk | Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| Cri- | quency | quency | Critical | Ratio | Ratio | |||||
| tical | in Progres- | in Non - | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | sive | progressive | Ratio | Geno- | zygote) | ozygote) | |||
| mo- | Physical | Allele | Glaucoma | Glaucoma | (Formula | type | (Formula | (Formula | ||
| DBSNP_ID | Exon, Intron | some | Location | (-logP) | Group | Group | 6) | (-logP) | 7) | 8) |
| rs9679229 | UBE2E3 β350430 bp | 2 | 181,320,188 | 3.05 | 0.82 | 0.72 | 1.77 | 3.90 | 1.41 | 0.55 |
| (NM_182678.1), | ||||||||||
| UBE2E3 β350660 bp | ||||||||||
| (NM_006357.2) | ||||||||||
| rs11691031 | C2orf29 β 90020 bp | 2 | 101,237,876 | 1.36 | 0.49 | 0.42 | 1.34 | 3.85 | 1.62 | 2.75 |
| (NM_017546.3) | ||||||||||
| rs714545 | UBE2E3 β 463121 bp | 2 | 181,207,497 | 3.54 | 0.81 | 0.70 | 1.85 | 3.76 | 1.88 | 0.76 |
| (NM_182678.1), | ||||||||||
| UBE2E3 β 463351 bp | ||||||||||
| (NM_006357.2) | ||||||||||
| rs10931418 | FLJ12519 β 41174 bp | 2 | 190,090,541 | 0.90 | 0.65 | 0.59 | 1.26 | 3.61 | 2.14 | 3.40 |
| (NM_032168.1) | ||||||||||
| rs4667078 | UBE2E3 β 367916 bp | 2 | 181,302,702 | 2.87 | 0.81 | 0.72 | 1.74 | 3.57 | 1.42 | 0.58 |
| (NM_182678.1), | ||||||||||
| UBE2E3 β 368146 bp | ||||||||||
| (NM_006357.2) | ||||||||||
| rs1355216 | SCN7A β 183021 bp | 2 | 167,352,006 | 3.14 | 0.86 | 0.77 | 1.91 | 3.55 | 1.25 | 0.50 |
| (NM_002976.1) | ||||||||||
| rs11695159 | FLJ12519 β 22944 bp | 2 | 190,108,721 | 0.79 | 0.64 | 0.59 | 1.23 | 3.47 | 2.07 | 3.32 |
| (NM_032168.1) | ||||||||||
| rs13032853 | FLJ12519 Intron1 | 2 | 190,134,918 | 1.05 | 0.65 | 0.59 | 1.29 | 3.45 | 2.20 | 3.33 |
| (NM_032168.1) | ||||||||||
| rs733830 | C2orf29 β 91059 bp | 2 | 101,236,837 | 1.54 | 0.49 | 0.41 | 1.38 | 3.31 | 1.73 | 2.57 |
| (NM_017546.3) | ||||||||||
| rs16833004 | GLS β 41329 bp | 2 | 191,529,780 | 2.52 | 0.97 | 0.92 | 2.77 | 3.29 | 1.02 | 0.15 |
| (NM_014905.2) | ||||||||||
| rs11563200 | TRPM8 Intron25 | 2 | 234,706,809 | 0.01 | 0.58 | 0.57 | 1.01 | 3.27 | 0.70 | 0.35 |
| (NM_0240803) | ||||||||||
| rs10930240 | SCN7A β 162624 bp | 2 | 167,331,609 | 2.96 | 0.87 | 0.78 | 1.86 | 3.25 | 1.26 | 0.53 |
| (NM_002976.1) | ||||||||||
| rs9287871 | SCN7A β 162839 bp | 2 | 167,331,824 | 2.96 | 0.87 | 0.78 | 1.86 | 3.25 | 1.26 | 0.53 |
| (NM_002976.1) | ||||||||||
| rs16860887 | LOC91526 Intron15 | 2 | 197,723,413 | 3.53 | 0.90 | 0.81 | 2.15 | 3.23 | 2.07 | 0.82 |
| (NM_153697.1) | ||||||||||
| rs1840111 | UBE2E3 β 484947 bp | 2 | 181,185,671 | 3.05 | 0.77 | 0.66 | 1.71 | 3.22 | 1.84 | 0.79 |
| (NM_182678.1), | ||||||||||
| UBE2E3 β 485177 bp | ||||||||||
| (NM_006357.2) | ||||||||||
| rs934706 | NXPH2 β 373561 bp | 2 | 139,745,104 | 1.84 | 0.21 | 0.15 | 1.60 | 3.22 | ND | 0.99 |
| (XM_371573) | ||||||||||
| rs7420360 | EPHA4 + 369107 bp | 2 | 221,739,147 | 0.50 | 0.41 | 0.38 | 1.16 | 3.21 | 0.93 | 2.18 |
| (NM 004438.3) | ||||||||||
| rs6739369 | FLJ20701 Intron3 | 2 | 229,738,357 | 3.71 | 0.18 | 0.08 | 2.39 | 3.20 | 4.06 | 2.60 |
| (NM_017933.3) | ||||||||||
| rs4850410 | LOC91526 Intron15 | 2 | 197,745,675 | 3.81 | 0.93 | 0.84 | 2.40 | 3.20 | 2.97 | 1.13 |
| (NM_153697.1) | ||||||||||
| rs1453054 | UBE2E3 β 485205 bp | 2 | 181,185,413 | 3.18 | 0.78 | 0.67 | 1.75 | 3.13 | 2.03 | 0.90 |
| (NM_182678.1), | ||||||||||
| UBE2E3 β 485435 bp | ||||||||||
| (NM_006357.2) | ||||||||||
| High- | High- | |||||||||
| Risk | Risk | |||||||||
| Allele | Allele | |||||||||
| Fre- | Fre- | Odds | Odds | |||||||
| Cri- | quency | quency | Critical | Ratio | Ratio | |||||
| tical | in Progres- | in Non - | Odds | rate, | (Homo- | (Heter- | ||||
| Chro- | rate, | sive | progressive | Ratio | Geno- | zygote) | ozygote) | |||
| mo- | Physical | Allele | Glaucoma | Glaucoma | (Formula | type | (Formula | (Formula | ||
| DBSNP_ID | Exon, Intron | some | Location | (-logP) | Group | Group | 6) | (-logP) | 7) | 8) |
| rs10186570 | UBE2E3 β 482951 bp | 2 | 181,187,667 | 2.67 | 0.78 | 0.68 | 1.65 | 3.08 | 1.62 | 0.71 |
| (NM_182678.1), | ||||||||||
| UBE2E3 β 483181 bp | ||||||||||
| (NM_006357.2) | ||||||||||
| rs4076919 | FLJ10116 + 86710 bp | 2 | 216,546,324 | 3.09 | 0.83 | 0.73 | 1.80 | 3.07 | 1.92 | 0.86 |
| (NM_018000.1) | ||||||||||
| rs968871 | FLJ32955 + 20953 bp | 2 | 150,428,575 | 3.81 | 0.45 | 0.31 | 1.77 | 3.06 | 3.17 | 1.75 |
| (NM_153041.1) | ||||||||||
| rs968873 | FLJ32955 + 20796 bp | 2 | 150,428,732 | 3.81 | 0.45 | 0.31 | 1.77 | 3.06 | 3.17 | 1.75 |
| (NM_153041.1) | ||||||||||
| rs13426748 | LOC91526 Intron15 | 2 | 197,723,066 | 3.39 | 0.90 | 0.81 | 2.11 | 3.06 | 2.01 | 0.82 |
| (NM_153697.1) | ||||||||||
| rs2564118 | FLJ32312 Intron4 | 2 | 61,144,940 | 1.22 | 0.52 | 0.45 | 1.32 | 3.06 | 1.97 | 0.70 |
| (NM_144709.1) | ||||||||||
| rs1468981 | KLF7 + 36314 bp | 2 | 207,734,721 | 0.36 | 0.59 | 0.56 | 1.12 | 3.04 | 0.99 | 0.46 |
| (NM_003709.1) | ||||||||||
| rs1641385 | FLJ32955 + 20086 bp | 2 | 150,429,442 | 3.71 | 0.45 | 0.32 | 1.75 | 2.97 | 3.13 | 1.73 |
| (NM_153041.1) | ||||||||||
| rs16825626 | FLJ20701 Intron3 | 2 | 229,744,146 | 3.38 | 0.17 | 0.08 | 2.27 | 2.94 | 3.11 | 2.51 |
| (NM_017933.3) | ||||||||||
| rs4261668 | MYL1 Intron3 | 2 | 210,987,818 | 3.62 | 0.35 | 0.23 | 1.81 | 2.91 | 3.39 | 1.81 |
| (NM_079422.1), | ||||||||||
| MYL1 Intron3 (NM_079420.1) | ||||||||||
| rs848241 | FLJ32955 Intron3 | 2 | 150,460,159 | 3.55 | 0.43 | 0.31 | 1.73 | 2.87 | 3.02 | 1.78 |
| (NM_153041.1) | ||||||||||
| rs1196155 | PPP1R1C Intron2 (XM_087137) | 2 | 182,746,778 | 3.43 | 0.68 | 0.55 | 1.71 | 2.87 | 3.23 | 2.15 |
| rs1104870 | ALK Intron15 (NM_004304.3) | 2 | 29,366,069 | 3.60 | 0.17 | 0.08 | 2.36 | 2.85 | 6.13 | 2.33 |
| rs12692654 | KCNH7 Intron2 | 2 | 163,309,182 | 3.36 | 0.77 | 0.65 | 1.76 | 2.83 | 2.82 | 1.44 |
| (NM_033272.2), | ||||||||||
| KCNH7 Intron2 (NM_173162.1) | ||||||||||
| rs4667333 | FLJ32955 Intron3 | 2 | 150,461,734 | 3.44 | 0.44 | 0.31 | 1.72 | 2.78 | 3.00 | 1.77 |
| (NM_153041.1) | ||||||||||
| rs787433 | LOC401014 + 29562 bp | 2 | 145,697,590 | 3.44 | 0.42 | 0.30 | 1.72 | 2.78 | 3.29 | 1.54 |
| (XM_379141) | ||||||||||
| rs1196185 | PPP1R1C Intron2 (XM_087137) | 2 | 182,710,465 | 3.33 | 0.67 | 0.55 | 1.68 | 2.78 | 3.08 | 2.11 |
| rs10496018 | LOC402072 + 151618 bp | 2 | β53,312,986 | 3.28 | 0.16 | 0.07 | 2.29 | 2.72 | 2.53 | 2.53 |
| (XM_377741) | ||||||||||
| rs7582411 | LOC91526 Intron1 | 2 | 197,738,392 | 3.10 | 0.91 | 0.83 | 2.13 | 2.71 | 2.16 | 0.89 |
| (NM_153697.1) | ||||||||||
| rs1529404 | MYCN + 99328 bp | 2 | β16,137,052 | 3.29 | 0.88 | 0.79 | 1.98 | 2.67 | 6.63 | 3.70 |
| (NM_005378.3) | ||||||||||
| rs1608976 | FLJ32955 Intron3 | 2 | 150,460,868 | 3.20 | 0.44 | 0.31 | 1.70 | 2.67 | 3.00 | 1.81 |
| (NM_153041.1) | ||||||||||
| rs2701664 | PPP1R1C Intron2 (XM_087137) | 2 | 182,734,170 | 3.22 | 0.67 | 0.55 | 1.66 | 2.61 | 2.94 | 2.00 |
| rs1196160 | PPP1R1C Intron3 (XM_087137) | 2 | 182,753,518 | 3.22 | 0.67 | 0.55 | 1.66 | 2.61 | 2.94 | 2.00 |
| TABLE 33 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs1358105 | FLJ32955 +17818 bp (NM_153041.1) | 2 | 150,431,710 | 3.30 | 0.39 |
| rs1724855 | FLJ32955 Intron3 (NM_153041.1) | 2 | 150,455,469 | 3.22 | 0.43 |
| rs17589066 | DNAH7 Intron48 (NM_018897.1) | 2 | 196,522,530 | 3.05 | 0.83 |
| rs31276 | FLJ20701 Intron3 (NM_017933.3) | 2 | 229,746,025 | 3.08 | 0.19 |
| rs7569506 | FLJ39822 +44702 bp (NM_173512.1) | 2 | 165,535,617 | 3.15 | 0.85 |
| rs16838454 | KIAA1679 Intron9 (XM_046570) | 2 | 137,843,162 | 3.08 | 0.16 |
| rs17041614 | ITPR1 +16975 bp (NM_002222.1) | 3 | 4,881,056 | 1.28 | 0.75 |
| rs784288 | MDS1 Intron2 (NM_004991.1) | 3 | 170,453,933 | 3.72 | 0.79 |
| rs6773050 | CDGAP Intron10 (XM_291085) | 3 | 120,606,504 | 2.34 | 0.64 |
| rs6792308 | ITPR1 +11521 bp (NM_002222.1) | 3 | 4,875,602 | 1.14 | 0.73 |
| rs1828652 | PLSCR4 Intron6 (NM_020353.1) | 3 | 147,397,711 | 3.96 | 0.47 |
| rs1877268 | LOC93556 +73662 bp (XM_376284) | 3 | 170,104,751 | 2.31 | 0.37 |
| rs16852789 | LOC93556 +75467 bp (XM_376284) | 3 | 170,106,556 | 2.31 | 0.37 |
| rs11920980 | LOC440985 β77863 bp (XM_498948) | 3 | 154,176,162 | 1.13 | 0.57 |
| rs7429749 | FTHFD Intron1 (NM_012190.2), | 3 | 127,371,520 | 2.65 | 0.21 |
| FTHFD Intron1 (NM_144776.1) | |||||
| rs7624272 | SEMA5B Intron1 (NM_018987.1) | 3 | 124,178,241 | 3.01 | 0.10 |
| rs6763643 | MYRIP Intron3 (NM_015460.1) | 3 | 40,072,995 | 0.70 | 0.38 |
| rs4685335 | RAFTLIN Intron4 (NM_015150.1) | 3 | 16,423,640 | 0.62 | 0.47 |
| rs12490570 | LOC152118 β107632 bp (XM_098163) | 3 | 154,577,350 | 3.96 | 0.92 |
| rs7371987 | CCR3 +10346 bp (NM_001837.2), | 3 | 46,293,512 | 3.21 | 0.31 |
| CCR3 +10346 bp (NM_178329.1) | |||||
| rs3957816 | PCCB β13296 bp (NM_000532.2) | 3 | 137,438,550 | 3.71 | 0.25 |
| rs9839623 | CCR3 +15697 bp (NM_001837.2), | 3 | 46,298,863 | 3.07 | 0.31 |
| CCR3 +15697 bp (NM_178329.1) | |||||
| rs17016781 | RARB Intron3 (NM_000965.2), | 3 | 25,580,890 | 3.62 | 0.65 |
| RARB Intron3 (NM_016152.2) | |||||
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs1358105 | 0.27 | 1.72 | 2.59 | 3.20 | 1.60 | |
| rs1724855 | 0.31 | 1.68 | 2.56 | 2.86 | 1.72 | |
| rs17589066 | 0.72 | 1.82 | 2.53 | 4.89 | 2.95 | |
| rs31276 | 0.11 | 2.02 | 2.53 | 6.18 | 2.03 | |
| rs7569506 | 0.76 | 1.87 | 2.53 | 3.48 | 1.81 | |
| rs16838454 | 0.08 | 2.23 | 1.70 | 2.79 | 1.93 | |
| rs17041614 | 0.69 | 1.37 | 3.98 | 0.79 | 0.33 | |
| rs784288 | 0.67 | 1.85 | 3.79 | 7.54 | 4.94 | |
| rs6773050 | 0.53 | 1.53 | 3.56 | 2.99 | 3.29 | |
| rs6792308 | 0.67 | 1.33 | 3.52 | 0.83 | 0.37 | |
| rs1828652 | 0.34 | 1.78 | 3.49 | 2.66 | 2.23 | |
| rs1877268 | 0.27 | 1.55 | 3.41 | 1.49 | 2.45 | |
| rs16852789 | 0.27 | 1.55 | 3.41 | 1.49 | 2.45 | |
| rs11920980 | 0.50 | 1.30 | 3.36 | 1.54 | 0.59 | |
| rs7429749 | 0.13 | 1.85 | 3.23 | ND | 2.16 | |
| rs7624272 | 0.04 | 2.83 | 3.22 | ND | 3.06 | |
| rs6763643 | 0.34 | 1.22 | 3.17 | 2.51 | 0.67 | |
| rs4685335 | 0.43 | 1.19 | 3.15 | 1.22 | 2.39 | |
| rs12490570 | 0.82 | 2.35 | 3.05 | 5.13 | 2.26 | |
| rs7371987 | 0.20 | 1.78 | 3.02 | 6.91 | 1.56 | |
| rs3957816 | 0.14 | 2.01 | 2.97 | 5.03 | 1.91 | |
| rs9839623 | 0.21 | 1.76 | 2.91 | 6.79 | 1.53 | |
| rs17016781 | 0.51 | 1.72 | 2.88 | 2.77 | 1.46 | |
| TABLE 34 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs453570 | CISH +6457 bp (NM_013324.4), | 3 | 50,612,473 | 3.25 | 0.67 |
| CISH +6457 bp (NM_145071.1) | |||||
| rs13096142 | CCR3 β1944 bp (NM_001837.2), | 3 | 46,256,748 | 3.04 | 0.35 |
| CCR3 β1944 bp (NM_178329.1) | |||||
| rs696518 | STAG1 Intron21 (NM_005862.1) | 3 | 137,602,998 | 3.63 | 0.28 |
| rs6446245 | DOCK3 Intron5 (NM_004947.2) | 3 | 51,012,298 | 3.15 | 0.66 |
| rs16833788 | SEMA5B β6558 bp (NM_018987.1) | 3 | 124,236,700 | 3.37 | 0.10 |
| rs6440881 | LOC152118 β56902 bp (XM_098163) | 3 | 154,628,080 | 3.51 | 0.90 |
| rs10510568 | RARB Intron3 (NM_000965.2), | 3 | 25,577,736 | 3.24 | 0.64 |
| RARB Intron3 (NM_016152.2) | |||||
| rs16833786 | SEMA5B β5978 bp (NM_018987.1) | 3 | 124,236,120 | 3.26 | 0.10 |
| rs1545105 | LOC389100 +81379 bp (XM_374035) | 3 | 29,199,691 | 3.01 | 0.37 |
| rs9883170 | LOC389100 +82213 bp (XM_374035) | 3 | 29,198,857 | 3.04 | 0.37 |
| rs17016778 | RARB Intron3 (NM_000965.2), | 3 | 25,580,286 | 3.28 | 0.64 |
| RARB Intron3 (NM_016152.2) | |||||
| rs2174746 | LOC152118 β103841 bp (XM_098163) | 3 | 154,581,141 | 3.52 | 0.92 |
| rs11712746 | KCNMB2 β262329 bp (NM_181361.1), | 3 | 179,474,597 | 3.12 | 0.25 |
| KCNMB2 β284723 bp (NM_005832.3) | |||||
| rs684773 | PCCB β12843 bp (NM_000532.2) | 3 | 137,439,003 | 3.26 | 0.22 |
| rs695983 | STAG1 Intron29 (NM_005862.1) | 3 | 137,547,245 | 3.33 | 0.24 |
| rs1154988 | LOC391581 β434 bp (XM_497940) | 3 | 137,407,889 | 3.23 | 0.23 |
| rs2232248 | HEMK1 Exon3 (NM_016173.1) | 3 | 50,584,628 | 3.11 | 0.66 |
| rs696081 | PCCB Intron13 (NM_000532.2) | 3 | 137,529,887 | 3.21 | 0.26 |
| rs2140450 | PPP2R3A Intron5 (NM_002718.3), | 3 | 137,252,444 | 3.01 | 0.33 |
| PPP2R3A Intron4 (NM_181897.1) | |||||
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs453570 | 0.55 | 1.68 | 2.88 | 3.30 | 1.85 | |
| rs13096142 | 0.24 | 1.71 | 2.87 | 4.85 | 1.39 | |
| rs696518 | 0.16 | 1.94 | 2.87 | 4.86 | 1.74 | |
| rs6446245 | 0.54 | 1.65 | 2.80 | 3.11 | 2.26 | |
| rs16833788 | 0.03 | 3.22 | 2.78 | ND | 3.29 | |
| rs6440881 | 0.80 | 2.10 | 2.74 | 6.57 | 3.53 | |
| rs10510568 | 0.52 | 1.67 | 2.70 | 2.90 | 1.58 | |
| rs16833786 | 0.03 | 3.16 | 2.68 | ND | 3.23 | |
| rs1545105 | 0.26 | 1.68 | 2.67 | 2.20 | 2.04 | |
| rs9883170 | 0.26 | 1.69 | 2.64 | 2.26 | 2.00 | |
| rs17016778 | 0.52 | 1.67 | 2.61 | 2.73 | 1.53 | |
| rs2174746 | 0.83 | 2.26 | 2.61 | 5.02 | 2.39 | |
| rs11712746 | 0.15 | 1.87 | 2.60 | 6.36 | 1.74 | |
| rs684773 | 0.13 | 1.98 | 2.58 | 5.71 | 1.84 | |
| rs695983 | 0.14 | 1.94 | 2.58 | 5.20 | 1.72 | |
| rs1154988 | 0.13 | 1.98 | 2.55 | 5.68 | 1.85 | |
| rs2232248 | 0.55 | 1.65 | 2.55 | 2.94 | 1.85 | |
| rs696081 | 0.16 | 1.86 | 2.49 | 4.24 | 1.72 | |
| rs2140450 | 0.23 | 1.72 | 2.47 | 3.87 | 1.50 | |
| TABLE 35 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs6440874 | LOC152118 β101011 bp (XM_098163) | 3 | 154,583,971 | 3.33 | 0.92 |
| rs9852831 | LOC152118 β133737 bp (XM_098163) | 3 | 154,551,245 | 3.19 | 0.90 |
| rs9822326 | LOC339894 Intron2 (XM_379230) | 3 | 158,286,267 | 3.17 | 0.54 |
| rs548288 | PCCB Intron1 (NM_000532.2) | 3 | 137,452,453 | 3.09 | 0.23 |
| rs7428299 | EDEM1 +469242 bp (XM_376201) | 3 | 5,705,884 | 3.02 | 0.68 |
| rs12648912 | PAPSS1 +17033 bp (NM_005443.4) | 4 | 108,875,394 | 3.91 | 0.64 |
| rs1865328 | LYAR +1510 bp (NM_017816.1) | 4 | 4,386,001 | 0.23 | 0.50 |
| rs531823 | QDPR +272295 bp (NM_000320.1) | 4 | 16,891,997 | 3.28 | 0.64 |
| rs2642849 | UGT2B4 +7559 bp (NM_021139.1) | 4 | 70,519,085 | 3.18 | 0.55 |
| rs2736463 | UGT2B4 +17920 bp (NM_021139.1) | 4 | 70,508,724 | 3.08 | 0.55 |
| rs11734419 | MAML3 Intron2 (NM_018717.2) | 4 | 141,040,368 | 3.22 | 0.46 |
| rs12502059 | PAPSS1 Intron4 (NM_005443.4) | 4 | 108,962,816 | 3.03 | 0.61 |
| rs4697446 | DHX15 +259479 bp (NM_001358.1) | 4 | 23,945,891 | 3.30 | 0.38 |
| rs7692155 | KIAA1109 β44906 bp (XM_371706) | 4 | 123,386,649 | 3.06 | 0.72 |
| rs17605639 | LOC389204 β297625 bp (XM_374079) | 4 | 27,290,099 | 3.09 | 0.80 |
| rs584374 | PPARGC1A β165848 bp (NM_013261.2) | 4 | 23,733,817 | 3.55 | 0.11 |
| rs17134333 | EPB41L4A Intron2 (NM_022140.2) | 5 | 111,670,626 | 2.67 | 0.71 |
| rs7718321 | EPB41L4A Intron1 (NM_022140.2) | 5 | 111,697,251 | 0.93 | 0.69 |
| rs7712363 | LOC389319 β181104 bp (XM_374134) | 5 | 125,542,548 | 1.03 | 0.76 |
| rs10076364 | LOC389319 β212764 bp (XM_374134) | 5 | 125,510,888 | 0.93 | 0.75 |
| rs7703461 | SV2C Intron3 (XM_043493) | 5 | 75,529,168 | 3.78 | 0.40 |
| rs194229 | MGC10067 β22589 bp (NM_145049.1) | 5 | 158,600,287 | 1.24 | 0.50 |
| rs10478702 | LOC389319 β173069 bp (XM_374134) | 5 | 125,550,583 | 1.04 | 0.76 |
| rs17134365 | EPB41L4A Intron1 (NM_022140.2) | 5 | 111,694,455 | 1.04 | 0.72 |
| rs11743891 | FSTL4 Intron3 (XM_048786) | 5 | 132,838,807 | 0.29 | 0.42 |
| rs166296 | SEMA6A Intron3 (NM_020796.2) | 5 | 115,861,466 | 3.48 | 0.38 |
| rs17731499 | KIBRA Intron1 (NM_015238.1) | 5 | 167,697,178 | 3.53 | 0.25 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs6440874 | 0.83 | 2.21 | 2.45 | 4.99 | 2.44 | |
| rs9852831 | 0.82 | 2.08 | 2.43 | 5.05 | 2.57 | |
| rs9822326 | 0.42 | 1.64 | 2.41 | 2.56 | 1.39 | |
| rs548288 | 0.13 | 1.91 | 2.34 | 4.47 | 1.76 | |
| rs7428299 | 0.56 | 1.64 | 2.27 | 2.67 | 1.81 | |
| rs12648912 | 0.51 | 1.76 | 3.67 | 2.92 | 1.24 | |
| rs1865328 | 0.48 | 1.08 | 3.41 | 1.21 | 0.48 | |
| rs531823 | 0.51 | 1.67 | 2.94 | 1.78 | 0.67 | |
| rs2642849 | 0.43 | 1.64 | 2.90 | 2.77 | 2.13 | |
| rs2736463 | 0.43 | 1.63 | 2.86 | 2.72 | 2.15 | |
| rs11734419 | 0.34 | 1.67 | 2.79 | 2.64 | 1.96 | |
| rs12502059 | 0.49 | 1.64 | 2.75 | 2.62 | 1.22 | |
| rs4697446 | 0.26 | 1.73 | 2.67 | 3.40 | 1.64 | |
| rs7692155 | 0.61 | 1.67 | 2.60 | 3.39 | 2.28 | |
| rs17605639 | 0.70 | 1.76 | 2.50 | 3.93 | 2.53 | |
| rs584374 | 0.04 | 3.20 | 1.90 | 5.93 | 1.94 | |
| rs17134333 | 0.60 | 1.63 | 3.71 | 1.80 | 0.69 | |
| rs7718321 | 0.64 | 1.27 | 3.38 | 0.94 | 0.42 | |
| rs7712363 | 0.71 | 1.32 | 3.38 | 0.59 | 0.28 | |
| rs10076364 | 0.70 | 1.29 | 3.27 | 0.67 | 0.32 | |
| rs7703461 | 0.27 | 1.80 | 3.27 | 3.99 | 1.35 | |
| rs194229 | 0.43 | 1.32 | 3.20 | 1.57 | 2.53 | |
| rs10478702 | 0.70 | 1.32 | 3.19 | 0.71 | 0.33 | |
| rs17134365 | 0.66 | 1.30 | 3.12 | 0.92 | 0.42 | |
| rs11743891 | 0.40 | 1.10 | 3.11 | 1.75 | 0.58 | |
| rs166296 | 0.26 | 1.76 | 3.07 | 4.18 | 1.40 | |
| rs17731499 | 0.14 | 1.97 | 3.04 | 9.22 | 1.51 | |
| TABLE 36 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs2055375 | LOC441075 +72079 bp (XM_499000) | 5 | 60,566,977 | 3.56 | 0.26 |
| rs1560026 | LOC389319 β225968 bp (XM_374134) | 5 | 125,497,684 | 0.82 | 0.74 |
| rs16869864 | PTGER4 β300343 bp (NM_000958.2) | 5 | 40,415,446 | 3.36 | 0.21 |
| rs7736074 | SLC6A19 β12310 bp (XM_291120) | 5 | 1,242,456 | 3.35 | 0.65 |
| rs581318 | LOC441075 +56653 bp (XM_499000) | 5 | 60,551,551 | 3.24 | 0.25 |
| rs30182 | SV2C β30159 bp (XM_043493) | 5 | 75,384,836 | 3.46 | 0.84 |
| rs7723981 | PTGER4 β275120 bp (NM_000958.2) | 5 | 40,440,669 | 3.16 | 0.20 |
| rs10473185 | PTGER4 β304865 bp (NM_000958.2) | 5 | 40,410,924 | 3.06 | 0.20 |
| rs10041973 | ZSWIM6 β51723 bp (XM_035299) | 5 | 60,612,035 | 3.19 | 0.11 |
| rs4958734 | GALNT10 Intron9 (NM_198321.2), | 5 | 153,769,698 | 3.05 | 0.94 |
| GALNT10 Intron2 (NM_017540.3) | |||||
| rs10079115 | ZSWIM6 β71664 bp (XM_035299) | 5 | 60,592,094 | 3.04 | 0.11 |
| rs4379148 | ZSWIM6 β72613 bp (XM_035299) | 5 | 60,591,145 | 3.03 | 0.11 |
| rs1501905 | SV2C Intron1 (XM_043493) | 5 | 75,433,640 | 3.04 | 0.79 |
| rs30196 | SV2C β1688 bp (XM_043493) | 5 | 75,413,307 | 3.06 | 0.78 |
| rs158563 | LOC91942 Intron1 (NM_174889.2) | 5 | 60,290,761 | 3.44 | 0.20 |
| rs10939888 | ZSWIM6 β72737 bp (XM_035299) | 5 | 60,591,021 | 3.00 | 0.14 |
| rs12696980 | ZSWIM6 β71733 bp (XM_035299) | 5 | 60,592,025 | 3.00 | 0.14 |
| rs2328883 | LRRC16 β108438 bp (NM_017640.2) | 6 | 25,510,510 | 1.85 | 0.33 |
| rs531970 | EPHA7 β35391 bp (NM_004440.2) | 6 | 94,221,384 | 1.06 | 0.46 |
| rs880226 | LRRC16 β108666 bp (NM_017640.2) | 6 | 25,510,282 | 2.02 | 0.33 |
| rs9469615 | MLN β45140 bp (NM_002418.1) | 6 | 33,924,911 | 1.24 | 0.86 |
| rs600709 | NCOA7 Intron2 (NM_1817812) | 6 | 126,175,082 | 2.48 | 0.88 |
| rs7767107 | LOC441173 Intron1 (XM_496827) | 6 | 142,237,572 | 3.49 | 0.30 |
| rs1336272 | LOC441173 β23126 bp (XM_96827) | 6 | 142,286,367 | 3.54 | 0.31 |
| rs595805 | NRN1 β34495 bp (NM_016588.2) | 6 | 5,987,127 | 1.27 | 0.65 |
| rs763075 | LOC442255 +235684 bp (XM_498140) | 6 | 122,253,219 | 0.20 | 0.71 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs2055375 | 0.15 | 1.97 | 3.03 | 7.10 | 1.84 | |
| rs1560026 | 0.69 | 1.26 | 3.00 | 0.67 | 0.33 | |
| rs16869864 | 0.12 | 2.04 | 2.96 | 5.54 | 2.19 | |
| rs7736074 | 0.52 | 1.69 | 2.76 | 3.00 | 2.07 | |
| rs581318 | 0.15 | 1.89 | 2.75 | 6.89 | 1.73 | |
| rs30182 | 0.73 | 1.89 | 2.74 | 4.40 | 2.54 | |
| rs7723981 | 0.11 | 2.04 | 2.67 | 5.19 | 2.13 | |
| rs10473185 | 0.11 | 2.00 | 2.58 | 5.23 | 2.09 | |
| rs10041973 | 0.04 | 2.75 | 2.48 | ND | 2.55 | |
| rs4958734 | 0.87 | 2.33 | 2.36 | 4.20 | 1.77 | |
| rs10079115 | 0.04 | 2.68 | 2.34 | ND | 2.48 | |
| rs4379148 | 0.04 | 2.75 | 2.32 | ND | 2.53 | |
| rs1501905 | 0.68 | 1.73 | 2.29 | 3.12 | 1.94 | |
| rs30196 | 0.67 | 1.72 | 2.25 | 2.77 | 1.65 | |
| rs158563 | 0.10 | 2.19 | 2.19 | 4.28 | 1.69 | |
| rs10939888 | 0.07 | 2.26 | 2.16 | 6.78 | 2.02 | |
| rs12696980 | 0.07 | 2.26 | 2.16 | 6.78 | 2.02 | |
| rs2328883 | 0.25 | 1.49 | 3.89 | 11.95 | 0.95 | |
| rs531970 | 0.40 | 1.28 | 3.84 | 2.25 | 0.65 | |
| rs880226 | 0.24 | 1.53 | 3.80 | 11.95 | 0.99 | |
| rs9469615 | 0.81 | 1.45 | 3.52 | 0.18 | 0.08 | |
| rs600709 | 0.80 | 1.80 | 3.48 | 0.39 | 0.16 | |
| rs7767107 | 0.19 | 1.86 | 3.35 | 2.24 | 2.29 | |
| rs1336272 | 0.19 | 1.86 | 3.31 | 2.37 | 2.25 | |
| rs595805 | 0.58 | 1.33 | 3.31 | 1.29 | 0.54 | |
| rs763075 | 0.69 | 1.08 | 3.23 | 0.41 | 0.22 | |
| TABLE 37 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs13213414 | LOC441173 Intron1 (XM_496827) | 6 | 142,262,919 | 3.60 | 0.31 |
| rs16886390 | TMEM30A Intron1 (NM_018247.1) | 6 | 76,038,298 | 1.18 | 0.87 |
| rs1322867 | TBX18 β222373 bp (XM_496819) | 6 | 85,752,991 | 1.35 | 0.35 |
| rs2152589 | LOC441173 Intron1 (XM_496827) | 6 | 142,250,761 | 3.51 | 0.31 |
| rs3798425 | MYO6 Intron29 (XM_376516) | 6 | 76,664,270 | 2.57 | 0.83 |
| rs9496008 | LOC441173 +181779 bp (XM_496827) | 6 | 141,762,720 | 3.74 | 0.54 |
| rs9349248 | PHACTR1 β204207 bp (XM_166420) | 6 | 12,621,612 | 0.77 | 0.57 |
| rs12200432 | PHACTR1 β201248 bp (XM_166420) | 6 | 12,624,571 | 0.44 | 0.58 |
| rs6570564 | LOC285740 +20195 bp (XM_379438) | 6 | 143,896,965 | 3.35 | 0.52 |
| rs9399445 | LOC285740 +16163 bp (XM_379438) | 6 | 143,900,997 | 3.41 | 0.55 |
| rs4713376 | C6orf214 +7329 bp (NM_207496.1) | 6 | 30,881,293 | 3.37 | 0.17 |
| rs9484507 | LOC441173 +179848 bp (XM_496827) | 6 | 141,764,651 | 3.93 | 0.53 |
| rs9379712 | C6orf32 β187336 bp (NM_015864.2) | 6 | 25,172,898 | 3.15 | 0.59 |
| rs7754052 | LOC441173 Intron1 (XM_496827) | 6 | 142,254,496 | 3.20 | 0.32 |
| rs9496179 | LOC441173 Intron1 (XM_496827) | 6 | 142,254,945 | 3.20 | 0.32 |
| rs2039560 | LOC441173 +145925 bp (XM_496827) | 6 | 141,798,574 | 3.40 | 0.67 |
| rs10485223 | PRDM13 β130551 bp (NM_021620.2) | 6 | 100,300,726 | 3.31 | 0.79 |
| rs4240580 | PRDM13 +138012 bp (NM_021620.2) | 6 | 100,308,187 | 3.51 | 0.79 |
| rs9393611 | C6orf32 β188810 bp (NM_015864.2) | 6 | 25,174,372 | 3.03 | 0.59 |
| rs9356960 | C6orf32 β188588 bp (NM_015864.2) | 6 | 25,174,150 | 3.07 | 0.59 |
| rs9367520 | ELOVL5 Intron1 (NM_021814.2) | 6 | 53,271,883 | 3.41 | 0.35 |
| rs12195469 | C6orf214 Intron1 (NM_207496.1) | 6 | 30,897,587 | 3.21 | 0.16 |
| rs17826560 | PRDM13 +132124 bp (NM_021620.2) | 6 | 100,302,299 | 3.29 | 0.79 |
| rs1915463 | VMP β52946 bp (NM_080723.2) | 6 | 24,181,383 | 3.24 | 0.53 |
| rs17070891 | LOC441173 +153727 bp (XM_496827) | 6 | 141,790,772 | 3.27 | 0.55 |
| rs1402406 | VMP β35757 bp (NM_080723.2) | 6 | 24,198,572 | 3.06 | 0.57 |
| rs10947096 | C6orf214 +14748 bp (NM_207496.1) | 6 | 30,873,874 | 3.08 | 0.13 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs13213414 | 0.19 | 1.87 | 3.15 | 2.59 | 2.17 | |
| rs16886390 | 0.82 | 1.47 | 3.14 | 0.78 | 0.27 | |
| rs1322867 | 0.28 | 1.38 | 3.14 | 1.00 | 2.24 | |
| rs2152589 | 0.20 | 1.85 | 3.14 | 2.52 | 2.17 | |
| rs3798425 | 0.74 | 1.70 | 3.13 | 1.29 | 0.56 | |
| rs9496008 | 0.40 | 1.73 | 3.04 | 3.06 | 1.62 | |
| rs9349248 | 0.52 | 1.22 | 3.03 | 1.32 | 0.55 | |
| rs12200432 | 0.55 | 1.14 | 3.01 | 1.09 | 0.49 | |
| rs6570564 | 0.40 | 1.67 | 3.00 | 2.89 | 2.05 | |
| rs9399445 | 0.42 | 1.68 | 2.97 | 2.98 | 2.01 | |
| rs4713376 | 0.08 | 2.27 | 2.94 | 3.11 | 2.51 | |
| rs9484507 | 0.39 | 1.80 | 2.93 | 2.98 | 1.58 | |
| rs9379712 | 0.47 | 1.64 | 2.92 | 2.80 | 1.28 | |
| rs7754052 | 0.21 | 1.77 | 2.88 | 2.37 | 2.09 | |
| rs9496179 | 0.21 | 1.77 | 2.88 | 2.37 | 2.09 | |
| rs2039560 | 0.54 | 1.70 | 2.84 | 3.04 | 1.71 | |
| rs10485223 | 0.68 | 1.80 | 2.83 | 4.45 | 2.68 | |
| rs4240580 | 0.68 | 1.82 | 2.81 | 3.79 | 2.25 | |
| rs9393611 | 0.47 | 1.62 | 2.79 | 2.70 | 1.26 | |
| rs9356960 | 0.47 | 1.63 | 2.78 | 2.81 | 1.33 | |
| rs9367520 | 0.23 | 1.82 | 2.76 | 4.12 | 1.62 | |
| rs12195469 | 0.08 | 2.22 | 2.75 | 3.06 | 2.43 | |
| rs17826560 | 0.68 | 1.79 | 2.73 | 4.08 | 2.50 | |
| rs1915463 | 0.41 | 1.66 | 2.61 | 2.72 | 1.84 | |
| rs17070891 | 0.42 | 1.66 | 2.60 | 2.79 | 1.61 | |
| rs1402406 | 0.45 | 1.62 | 2.59 | 2.63 | 2.00 | |
| rs10947096 | 0.06 | 2.44 | 2.57 | ND | 2.47 | |
| TABLE 38 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs9403498 | FUCA2 β18431 bp (NM_032020.3) | 6 | 143,892,987 | 3.04 | 0.63 |
| rs1402405 | VMP β35853 bp (NM_080723.2) | 6 | 24,198,476 | 3.13 | 0.58 |
| rs7740547 | SLC22A16 Intron1 (NM_033125.2) | 6 | 110,897,601 | 3.13 | 0.49 |
| rs221712 | SLC22A16 Intron4 (NM_033125.2) | 6 | 110,869,519 | 3.18 | 0.49 |
| rs17577123 | C6orf10 +2945 bp (NM_006781.2) | 6 | 32,365,525 | 3.07 | 0.11 |
| rs7802749 | PPP1R9A Intron4 (XM_371933) | 7 | 94,432,292 | 1.20 | 0.53 |
| rs6965857 | DLD β36997 bp (NM_000108.2) | 7 | 107,088,565 | 0.76 | 0.65 |
| rs11972734 | CREB3L2 β6085 bp (NM_194071.1) | 7 | 137,150,143 | 3.19 | 0.26 |
| rs1621819 | C1GALT1 +30350 bp (NM_020156.1) | 7 | 7,087,571 | 3.80 | 0.61 |
| rs1514880 | LOC340268 Intron1 (XM_294634) | 7 | 9,664,527 | 3.39 | 0.60 |
| rs12669138 | LOC340268 Intron1 (XM_294634) | 7 | 9,564,997 | 2.83 | 0.65 |
| rs698408 | SND1 Intron8 (NM_014390.1) | 7 | 126,939,887 | 2.61 | 0.30 |
| rs7458284 | LOC340268 Intron1 (XM_294634) | 7 | 9,670,774 | 3.37 | 0.39 |
| rs3757760 | SND1 Intron16 (NM_014390.1) | 7 | 127,252,147 | 3.23 | 0.30 |
| rs2241291 | SND1 Intron16 (NM_014390.1), | 7 | 127,232,825 | 3.27 | 0.30 |
| NAG8 Exon1 (NM_014411.1) | |||||
| rs17156635 | CREB5 Intron1 (NM_182899.2), | 7 | 28,168,969 | 3.16 | 0.23 |
| CREB5 β56415 bp (NM_182898.1), | |||||
| CREB5 β79505 bp (NM_004904.1) | |||||
| rs1638213 | C1GALT1 +33234 bp (NM_020156.1) | 7 | 7,090,455 | 3.36 | 0.60 |
| rs320785 | LOC340268 β6464 bp (XM_294634) | 7 | 9,532,629 | 3.41 | 0.59 |
| rs1796121 | C1GALT1 +33624 bp (NM_020156.1) | 7 | 7,090,845 | 3.24 | 0.59 |
| rs3757759 | SND1 Intron16 (NM_014390.1) | 7 | 127,288,765 | 3.12 | 0.33 |
| rs12530870 | KIAA1706 β11363 bp (NM_030636.1) | 7 | 35,954,741 | 3.00 | 0.81 |
| rs17152703 | LOC401384 +195612 bp (XM_379506) | 7 | 78,929,412 | 3.33 | 0.85 |
| rs10441198 | LOC442363 β76453 bp (XM_498255) | 7 | 144,098,654 | 3.17 | 0.60 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs9403498 | 0.51 | 1.63 | 2.56 | 2.89 | 2.01 | |
| rs1402405 | 0.45 | 1.63 | 2.43 | 2.63 | 1.91 | |
| rs7740547 | 0.37 | 1.64 | 2.43 | 2.66 | 1.33 | |
| rs221712 | 0.37 | 1.65 | 2.39 | 2.64 | 1.39 | |
| rs17577123 | 0.04 | 2.71 | 1.95 | 3.88 | 2.47 | |
| rs7802749 | 0.46 | 1.32 | 3.58 | 1.78 | 0.61 | |
| rs6965857 | 0.60 | 1.23 | 3.13 | 1.00 | 0.45 | |
| rs11972734 | 0.16 | 1.86 | 3.12 | 15.95 | 1.54 | |
| rs1621819 | 0.47 | 1.76 | 3.11 | 3.14 | 2.03 | |
| rs1514880 | 0.46 | 1.70 | 3.09 | 3.25 | 2.24 | |
| rs12669138 | 0.54 | 1.60 | 3.08 | 3.15 | 2.74 | |
| rs698408 | 0.21 | 1.66 | 3.03 | 1.55 | 2.28 | |
| rs7458284 | 0.27 | 1.74 | 2.87 | 3.81 | 1.44 | |
| rs3757760 | 0.19 | 1.81 | 2.85 | 2.51 | 2.08 | |
| rs2241291 | 0.19 | 1.81 | 2.81 | 2.63 | 2.04 | |
| rs17156635 | 0.13 | 1.99 | 2.80 | 14.75 | 1.50 | |
| rs1638213 | 0.47 | 1.67 | 2.72 | 2.82 | 1.90 | |
| rs320785 | 0.46 | 1.68 | 2.71 | 2.84 | 1.73 | |
| rs1796121 | 0.47 | 1.65 | 2.58 | 2.74 | 1.84 | |
| rs3757759 | 0.22 | 1.74 | 2.57 | 3.27 | 1.80 | |
| rs12530870 | 0.71 | 1.76 | 2.42 | 3.98 | 2.76 | |
| rs17152703 | 0.75 | 1.89 | 2.37 | 3.41 | 2.01 | |
| rs10441198 | 0.48 | 1.64 | 2.36 | 2.41 | 1.33 | |
| TABLE 39 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs13225076 | LOC285984 β162101 bp (XM_208373) | 7 | 84,095,361 | 3.16 | 0.86 |
| rs17171658 | C7orf11 +13816 bp (NM_138701.1) | 7 | 39,931,767 | 3.02 | 0.78 |
| rs826824 | CNTNAP2 Intron9 (NM_014141.3) | 7 | 146,496,639 | 3.04 | 0.74 |
| rs6993934 | FBXO16 +12541 bp (NM_172366.2) | 8 | 28,329,307 | 0.01 | 0.27 |
| rs1425735 | EBF2 +148803 bp (NM_022659.1) | 8 | 25,608,687 | 1.50 | 0.66 |
| rs6991277 | PTDSS1 +53377 bp (NM_014754.1) | 8 | 97,469,327 | 3.10 | 0.93 |
| rs6981589 | LOC286186 Intron1 (XM_379586) | 8 | 66,612,011 | 2.30 | 0.66 |
| rs4394361 | LOC157657 β172125 bp (NM_177965.2) | 8 | 96,522,738 | 3.55 | 0.24 |
| rs3133744 | LOC157657 β252889 bp (NM_177965.2) | 8 | 96,603,502 | 3.53 | 0.31 |
| rs10113800 | LOC157657 β163565 bp (NM_177965.2) | 8 | 96,514,178 | 3.12 | 0.23 |
| rs6601569 | C8orf7 β14730 bp (XM_088376) | 8 | 11,110,988 | 3.45 | 0.93 |
| rs10105301 | LOC286186 +84181 bp (XM_379586) | 8 | 66,517,616 | 3.04 | 0.27 |
| rs6995270 | SIAT4A Intron2 (NM_003033.2), | 8 | 134,582,401 | 3.02 | 0.51 |
| SIAT4A Intron2 (NM_173344.1) | |||||
| rs10811638 | CDKN2A +44473 bp (NM_000077.3), | 9 | 21,913,279 | 0.15 | 0.42 |
| CDKN2A +44473 bp (NM_058197.2), | |||||
| CDKN2A +44473 bp (NM_058195.2) | |||||
| rs10869589 | PCSK5 β314572 bp (NM_006200.2) | 9 | 75,420,603 | 2.09 | 0.72 |
| rs10967964 | MOBKL2B Intron1 (NM_024761.3) | 9 | 27,485,920 | 3.13 | 0.23 |
| rs2518713 | CDKN2A +38086 bp (NM_000077.3), | 9 | 21,919,666 | 0.38 | 0.44 |
| CDKN2A +38086 bp (NM_058197.2), | |||||
| CDKN2A +38086 bp (NM_058195.2) | |||||
| rs10781440 | LOC392347 Intron1 (XM_373298) | 9 | 68,992,320 | 3.89 | 0.37 |
| rs1412066 | DBC1 β33786 bp (NM_014618.1) | 9 | 119,245,041 | 3.06 | 0.93 |
| rs7022939 | LOC347273 +139903 bp (XM_294592) | 9 | 100,568,349 | 1.91 | 0.36 |
| rs4744780 | PCSK5 Intron9 (NM_006200.2) | 9 | 75,952,602 | 3.30 | 0.50 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs13225076 | 0.76 | 1.93 | 2.31 | 3.53 | 1.92 | |
| rs17171658 | 0.67 | 1.75 | 2.31 | 2.98 | 1.70 | |
| rs826824 | 0.63 | 1.69 | 2.26 | 2.60 | 1.52 | |
| rs6993934 | 0.27 | 1.00 | 3.56 | 0.37 | 1.81 | |
| rs1425735 | 0.58 | 1.38 | 3.28 | 1.37 | 0.57 | |
| rs6991277 | 0.85 | 2.28 | 3.26 | 0.74 | 0.26 | |
| rs6981589 | 0.56 | 1.52 | 3.13 | 2.85 | 3.04 | |
| rs4394361 | 0.13 | 2.04 | 3.09 | 10.03 | 1.97 | |
| rs3133744 | 0.19 | 1.90 | 2.97 | 4.79 | 1.84 | |
| rs10113800 | 0.14 | 1.92 | 2.70 | 10.58 | 1.76 | |
| rs6601569 | 0.85 | 2.32 | 2.66 | 7.14 | 3.26 | |
| rs10105301 | 0.17 | 1.81 | 2.63 | 2.22 | 2.10 | |
| rs6995270 | 0.39 | 1.62 | 2.37 | 2.71 | 1.49 | |
| rs10811638 | 0.41 | 1.06 | 3.80 | 0.84 | 2.27 | |
| rs10869589 | 0.63 | 1.52 | 3.59 | 5.09 | 5.18 | |
| rs10967964 | 0.13 | 1.95 | 3.55 | 1.34 | 2.62 | |
| rs2518713 | 0.41 | 1.13 | 3.39 | 1.01 | 2.32 | |
| rs10781440 | 0.24 | 1.85 | 3.34 | 3.48 | 1.97 | |
| rs1412066 | 0.85 | 2.19 | 3.25 | 0.97 | 0.35 | |
| rs7022939 | 0.28 | 1.48 | 3.21 | 1.32 | 2.30 | |
| rs4744780 | 0.37 | 1.68 | 3.18 | 2.85 | 2.21 | |
| TABLE 40 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs4743420 | LOC347273 +139198 bp (XM_294592) | 9 | 100,567,644 | 1.93 | 0.36 |
| rs10815959 | PTPRD β82533 bp (NM_002839.1), | 9 | 8,806,479 | 3.11 | 0.58 |
| PTPRD β82533 bp (NM_130391.1), | |||||
| PTPRD β82533 bp (NM_130392.1), | |||||
| PTPRD β82533 bp (NM_130393.1) | |||||
| rs953924 | FLJ31810 Intron3 (NM_152570.1) | 9 | 28,313,673 | 2.54 | 0.85 |
| rs4836767 | DBC1 β34887 bp (NM_014618.1) | 9 | 119,246,142 | 3.24 | 0.93 |
| rs4977749 | CDKN2A +40425 bp (NM_000077.3), | 9 | 21,917,327 | 0.38 | 0.44 |
| CDKN2A +40425 bp (NM_058197.2), | |||||
| CDKN2A +40425 bp (NM_058195.2) | |||||
| rs10512277 | LOC347273 +138909 bp (XM_294592) | 9 | 100,567,355 | 2.02 | 0.36 |
| rs9299341 | LOC347273 +141993 bp (XM_294592) | 9 | 100,570,439 | 2.02 | 0.36 |
| rs10491692 | DOCK8 Intron13 (NM_203447.1) | 9 | 336,887 | 0.35 | 0.16 |
| rs2780197 | C9orf39 Intron13 (NM_017738.1) | 9 | 17,416,186 | 3.83 | 0.81 |
| rs7038186 | C9orf39 Intron10 (NM_017738.1) | 9 | 17,388,616 | 3.69 | 0.81 |
| rs2773395 | C9orf28 β119663 bp (XM_088525) | 9 | 126,049,019 | 3.39 | 0.36 |
| rs1412067 | DBCI β35540 bp (NM_014618.1) | 9 | 119,246,795 | 3.08 | 0.93 |
| rs11144406 | OSTF1 +226491 bp (NM_012383.3) | 9 | 75,217,808 | 3.39 | 0.20 |
| rs10869690 | PIP5K1B Intron15 (NM_003558.1) | 9 | 68,851,241 | 3.37 | 0.38 |
| rs10969339 | LOC401497 +655774 bp (XM_376822) | 9 | 29,723,159 | 3.13 | 0.88 |
| rs16929359 | DMRT2 +392458 bp (NM_006557.3), | 9 | 1,440,010 | 3.62 | 0.11 |
| DMRT2 +392458 bp (NM 181872.1) | |||||
| rs943509 | OSTF1 +226788 bp (NM_012383.3) | 9 | 75,218,105 | 3.18 | 0.37 |
| rs10869686 | PIP5K1B Intron15 (NM_003558.1) | 9 | 68,850,168 | 3.22 | 0.37 |
| rs10869553 | OSTF1 +235138 bp (NM_012383.3) | 9 | 75,226,455 | 3.09 | 0.20 |
| rs12554461 | RCL1 +4195 bp (NM_005772.2) | 9 | 4,855,256 | 3.19 | 0.41 |
| rs4142436 | DMRT2 +396648 bp (NM_006557.3), | 9 | 1,444,200 | 3.23 | 0.13 |
| DMRT2 +396648 bp (NM_181872.1) | |||||
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs4743420 | 0.27 | 1.49 | 3.17 | 1.33 | 2.29 | |
| rs10815959 | 0.46 | 1.63 | 3.15 | 2.73 | 2.41 | |
| rs953924 | 0.77 | 1.74 | 3.10 | 18.06 | 14.20 | |
| rs4836767 | 0.85 | 2.24 | 3.09 | 1.46 | 0.53 | |
| rs4977749 | 0.41 | 1.13 | 3.09 | 1.02 | 2.22 | |
| rs10512277 | 0.27 | 1.50 | 3.08 | 1.41 | 2.27 | |
| rs9299341 | 0.27 | 1.50 | 3.08 | 1.41 | 2.27 | |
| rs10491692 | 0.14 | 1.17 | 3.08 | 0.00 | 1.80 | |
| rs2780197 | 0.70 | 1.90 | 3.05 | 3.93 | 2.16 | |
| rs7038186 | 0.69 | 1.87 | 2.96 | 3.91 | 2.20 | |
| rs2773395 | 0.24 | 1.77 | 2.94 | 2.98 | 1.97 | |
| rs1412067 | 0.85 | 2.20 | 2.92 | 1.45 | 0.54 | |
| rs11144406 | 0.11 | 2.10 | 2.91 | 5.39 | 2.22 | |
| rs10869690 | 0.26 | 1.74 | 2.85 | 3.90 | 1.51 | |
| rs10969339 | 0.79 | 1.95 | 2.77 | 11.71 | 6.74 | |
| rs16929359 | 0.04 | 3.02 | 2.70 | ND | 2.53 | |
| rs943509 | 0.25 | 1.72 | 2.70 | 3.80 | 1.45 | |
| rs10869686 | 0.26 | 1.73 | 2.68 | 3.74 | 1.52 | |
| rs10869553 | 0.11 | 2.01 | 2.62 | 5.19 | 2.10 | |
| rs12554461 | 0.29 | 1.69 | 2.60 | 2.49 | 1.90 | |
| rs4142436 | 0.06 | 2.49 | 2.54 | 3.92 | 2.56 | |
| TABLE 41 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs7048937 | LOC392347 Intron2 (XM_373298) | 9 | 68,975,807 | 3.16 | 0.38 |
| rs7034303 | LOC392347 Intron2 (XM_373298) | 9 | 68,976,425 | 3.16 | 0.38 |
| rs6560584 | LOC392347 Intron2 (XM_373298) | 9 | 68,976,726 | 3.16 | 0.38 |
| rs7850573 | LOC392347 Intron2 (XM_373298) | 9 | 68,976,814 | 3.16 | 0.38 |
| rs2584554 | C9orf39 Intron13 (NM_017738.1) | 9 | 17,416,808 | 3.13 | 0.80 |
| rs1547335 | LOC401497 +621065 bp (XM_376822) | 9 | 29,757,868 | 3.11 | 0.77 |
| rs3781158 | KCNMA1 Intron18 (NM_002247.2) | 10 | 78,426,444 | 1.61 | 0.60 |
| rs10823349 | HK1 Intron5 (NM_033497.1), | 10 | 70,779,704 | 3.56 | 0.90 |
| HK1 Intron5 (NM_033498.1), | |||||
| HK1 Intron6 (NM_033500.1), | |||||
| HK1 Intron2 (NM_033496.1), | |||||
| HK1 Intron2 (NM_000188.1) | |||||
| rs17388160 | KCNMA1 Intron18 (NM_002247.2) | 10 | 78,415,943 | 1.81 | 0.66 |
| rs1801041 | DNA2L Exon21 (XM_166103) | 10 | 69,844,713 | 1.49 | 0.80 |
| rs11001963 | KCNMA1 Intron18 (NM_002247.2) | 10 | 78,430,965 | 2.23 | 0.70 |
| rs4454609 | PHYH +15499 bp (NM_006214.2) | 10 | 13,344,307 | 2.46 | 0.66 |
| rs4589168 | HK1 Intron10 (NM_033497.1), | 10 | 70,800,223 | 3.18 | 0.89 |
| HK1 Intron10 (NM_033498.1), | |||||
| HK1 Intron11 (NM_033500.1), | |||||
| HK1 Intron7 (NM_033496.1), | |||||
| HK1 Intron7 (NM 000188.1) | |||||
| rs7093891 | XPNPEP1 +21493 bp (NM_020383.2) | 10 | 111,593,021 | 3.00 | 0.69 |
| rs10762840 | LOC283050 Intron4 (XM_378238) | 10 | 80,483,339 | 3.86 | 0.39 |
| rs9416465 | ZWINT +273128 bp (NM_007057.2), | 10 | 57,514,084 | 3.32 | 0.82 |
| ZWINT +273128 bp (NM_032997.1) | |||||
| rs7903897 | LOC285444 +40505 bp (XM_497256) | 10 | 135,321,566 | 3.05 | 0.61 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs7048937 | 0.27 | 1.70 | 2.52 | 2.57 | 1.85 | |
| rs7034303 | 0.27 | 1.70 | 2.52 | 2.57 | 1.85 | |
| rs6560584 | 0.27 | 1.70 | 2.52 | 2.57 | 1.85 | |
| rs7850573 | 0.27 | 1.70 | 2.52 | 2.57 | 1.85 | |
| rs2584554 | 0.70 | 1.78 | 2.50 | 3.38 | 1.91 | |
| rs1547335 | 0.66 | 1.73 | 2.25 | 2.90 | 1.82 | |
| rs3781158 | 0.51 | 1.39 | 3.96 | 1.65 | 0.59 | |
| rs10823349 | 0.80 | 2.13 | 3.90 | 1.05 | 0.39 | |
| rs17388160 | 0.57 | 1.44 | 3.79 | 1.47 | 0.57 | |
| rs1801041 | 0.73 | 1.45 | 3.58 | 0.78 | 0.33 | |
| rs11001963 | 0.60 | 1.52 | 3.57 | 1.55 | 0.63 | |
| rs4454609 | 0.55 | 1.55 | 3.56 | 3.42 | 3.45 | |
| rs4589168 | 0.81 | 2.01 | 3.45 | 1.15 | 0.45 | |
| rs7093891 | 0.57 | 1.64 | 3.31 | 2.15 | 0.92 | |
| rs10762840 | 0.26 | 1.81 | 3.12 | 3.29 | 1.83 | |
| rs9416465 | 0.71 | 1.85 | 2.78 | 3.55 | 1.81 | |
| rs7903897 | 0.49 | 1.63 | 2.72 | 2.68 | 2.21 | |
| TABLE 42 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs2496057 | C10orf112 Intron20 (XM_295865) | 10 | 19,623,674 | 3.05 | 0.56 |
| rs1500763 | ZWINT +308458 bp (NM_007057.2), | 10 | 57,478,754 | 3.03 | 0.86 |
| ZWINT +308458 bp (NM_032997.1) | |||||
| rs2151078 | PCDH15 Intron3 (NM_033056.2) | 10 | 55,864,965 | 3.11 | 0.95 |
| rs1881716 | LDHA Intron5 (NM_005566.1) | 11 | 18,381,594 | 3.40 | 0.38 |
| rs7107489 | LOC119710 +809442 bp (NM_138787.2) | 11 | 37,446,835 | 1.46 | 0.65 |
| rs6590698 | SPAS1 +396277 bp (NM_174927.1) | 11 | 132,819,450 | 1.09 | 0.72 |
| rs4274186 | LDHA Intron2 (NM_005566.1) | 11 | 18,375,295 | 3.41 | 0.38 |
| rs7927545 | MGC71806 Intron3 (NM_198516.1) | 11 | 11,403,040 | 3.75 | 0.60 |
| rs10792820 | PICALM Intron12 (NM_007166.1) | 11 | 85,381,622 | 0.44 | 0.49 |
| rs9326253 | LOC440070 +34118 bp (XM_498530) | 11 | 119,149,661 | 0.13 | 0.60 |
| rs12576681 | MGC71806 Intron3 (NM_198516.1) | 11 | 11,402,663 | 3.67 | 0.31 |
| rs10837846 | LOC387761 β159308 bp (XM_373495) | 11 | 42,393,594 | 2.69 | 0.59 |
| rs1462674 | LOC387761 β160223 bp (XM_373495) | 11 | 42,394,509 | 2.71 | 0.59 |
| rs1386239 | LOC338645 Intron5 (XM_370616) | 11 | 24,774,285 | 2.73 | 0.11 |
| rs10837854 | LOC387761 β227349 bp (XM_373495) | 11 | 42,461,635 | 2.09 | 0.56 |
| rs504105 | FLJ37874 +3946 bp (NM_182603.1) | 11 | 82,641,607 | 3.17 | 0.57 |
| rs524441 | FLJ37874 +1045 bp (NM_182603.1) | 11 | 82,638,706 | 3.11 | 0.56 |
| rs681367 | FLJ37874 +1111 bp (NM_182603.1) | 11 | 82,638,772 | 3.10 | 0.56 |
| rs628223 | MDS025 +4340 bp (NM_021825.3) | 11 | 82,645,812 | 3.10 | 0.56 |
| rs6484897 | MGC71806 Intron3 (NM_198516.1) | 11 | 11,401,879 | 3.15 | 0.31 |
| rs4937173 | KIRREL3 Intron1 (NM 032531.1) | 11 | 126,034,466 | 3.37 | 0.43 |
| rs11220587 | KIRREL3 Intron1 (NM_032531.1) | 11 | 126,082,725 | 3.35 | 0.50 |
| rs2252070 | MMP13 β77 bp (NM_002427.2) | 11 | 102,331,749 | 3.46 | 0.60 |
| rs693253 | KIRREL3 Intron1 (NM_032531.1) | 11 | 126,032,975 | 3.40 | 0.44 |
| rs4937174 | KIRREL3 Intron1 (NM_032531.1) | 11 | 126,034,593 | 3.21 | 0.43 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs2496057 | 0.44 | 1.62 | 2.57 | 2.75 | 1.90 | |
| rs1500763 | 0.77 | 1.88 | 2.54 | 5.27 | 2.80 | |
| rs2151078 | 0.88 | 2.49 | 2.21 | 3.40 | 1.37 | |
| rs1881716 | 0.26 | 1.74 | 3.86 | 2.09 | 2.48 | |
| rs7107489 | 0.58 | 1.37 | 3.69 | 2.69 | 3.66 | |
| rs6590698 | 0.66 | 1.32 | 3.60 | 5.44 | 6.70 | |
| rs4274186 | 0.26 | 1.76 | 3.58 | 2.15 | 2.41 | |
| rs7927545 | 0.46 | 1.73 | 3.58 | 3.11 | 1.30 | |
| rs10792820 | 0.46 | 1.15 | 3.46 | 1.48 | 0.53 | |
| rs9326253 | 0.59 | 1.05 | 3.27 | 0.73 | 0.36 | |
| rs12576681 | 0.19 | 1.88 | 3.23 | 6.26 | 1.53 | |
| rs10837846 | 0.47 | 1.57 | 3.09 | 3.22 | 2.55 | |
| rs1462674 | 0.47 | 1.57 | 3.07 | 3.22 | 2.53 | |
| rs1386239 | 0.05 | 2.48 | 3.06 | 0.00 | 3.10 | |
| rs10837854 | 0.47 | 1.47 | 3.05 | 2.58 | 2.69 | |
| rs504105 | 0.45 | 1.64 | 3.05 | 2.97 | 1.30 | |
| rs524441 | 0.44 | 1.63 | 2.93 | 2.90 | 1.29 | |
| rs681367 | 0.44 | 1.63 | 2.91 | 2.90 | 1.31 | |
| rs628223 | 0.44 | 1.63 | 2.91 | 2.90 | 1.31 | |
| rs6484897 | 0.20 | 1.78 | 2.90 | 5.97 | 1.41 | |
| rs4937173 | 0.31 | 1.71 | 2.90 | 2.75 | 1.96 | |
| rs11220587 | 0.37 | 1.68 | 2.88 | 2.99 | 1.31 | |
| rs2252070 | 0.47 | 1.69 | 2.82 | 2.88 | 1.55 | |
| rs693253 | 0.31 | 1.71 | 2.77 | 2.85 | 1.82 | |
| rs4937174 | 0.31 | 1.68 | 2.74 | 2.66 | 1.92 | |
| TABLE 43 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs12800710 | LPXN Intron7 (NM_004811.1) | 11 | 58,071,116 | 3.73 | 0.87 |
| rs10898459 | EED Intron6 (NM_003797.2), | 11 | 85,650,587 | 3.14 | 0.60 |
| EED Intron6 (NM_152991.1) | |||||
| rs3862632 | KIRREL3 Intron1 (NM_032531.1) | 11 | 126,054,713 | 3.21 | 0.43 |
| rs11229555 | CNTF +15485 bp (NM_000614.2), | 11 | 58,165,263 | 3.57 | 0.87 |
| ZFP91-CNTF +15485 bp (NM_170768.1) | |||||
| rs1451316 | OR1S2 +1990 bp (XM_166916) | 11 | 57,725,262 | 3.06 | 0.53 |
| rs7108068 | KIRREL3 Intron1 (NM_032531.1) | 11 | 126,035,753 | 3.18 | 0.43 |
| rs10896715 | OR1S1 +5325 bp (XM_166917) | 11 | 57,745,095 | 3.38 | 0.84 |
| rs2298608 | CNTF +11265 bp (NM_000614.2), | 11 | 58,161,043 | 3.47 | 0.87 |
| ZFP91-CNTF +11265 bp (NM_170768.1) | |||||
| rs655316 | MMP13 β5902 bp (NM_002427.2) | 11 | 102,337,574 | 3.07 | 0.58 |
| rs161130 | LOC387810 β172677 bp (XM_373513) | 11 | 112,160,184 | 3.15 | 0.83 |
| rs7102784 | LOC399898 +878 bp (XM_374885) | 11 | 57,813,314 | 3.08 | 0.88 |
| rs11175627 | LOC400046 +33814 bp (XM_378362) | 12 | 63,691,379 | 3.08 | 0.27 |
| rs7302136 | DKFZp761O2018 +35186 bp (XM_044062) | 12 | 127,752,520 | 3.91 | 0.94 |
| rs11175622 | LOC400046 +28983 bp (XM_378362) | 12 | 63,686,548 | 2.98 | 0.27 |
| rs7136577 | LOC400046 +35244 bp (XM_378362) | 12 | 63,692,809 | 2.98 | 0.27 |
| rs2169856 | LOC441639 +48092 bp (XM_497345) | 12 | 53,858,919 | 1.26 | 0.72 |
| rs7962260 | FLJ40126 Intron18 (NM_173599.1), | 12 | 38,510,570 | 3.77 | 0.24 |
| SLC2A13 Intron6 (NM_052885.1) | |||||
| rs7296095 | LOC440112 β115952 bp (XM_498548) | 12 | 114,337,597 | 2.55 | 0.28 |
| rs7959848 | LOC401725 +200037 bp (XM_377278) | 12 | 82,248,474 | 3.88 | 0.45 |
| rs12227382 | DKFZp761O2018 +36420 bp (XM_044062) | 12 | 127,753,754 | 3.72 | 0.94 |
| rs11059865 | DKFZp761O2018 +34801 bp (XM_044062) | 12 | 127,752,135 | 3.58 | 0.94 |
| rs4882448 | LOC401725 +200630 bp (XM_377278) | 12 | 82,249,067 | 3.62 | 0.44 |
| rs4473002 | FLJ40126 Intron18 (NM_73599.1), | 12 | 38,541,898 | 3.40 | 0.24 |
| SLC2A13 Intron6 (NM_052885.1) | |||||
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs12800710 | 0.77 | 2.04 | 2.73 | 3.91 | 2.08 | |
| rs10898459 | 0.48 | 1.64 | 2.72 | 2.89 | 2.06 | |
| rs3862632 | 0.31 | 1.68 | 2.66 | 2.70 | 1.86 | |
| rs11229555 | 0.77 | 2.01 | 2.59 | 3.88 | 2.12 | |
| rs1451316 | 0.41 | 1.63 | 2.48 | 2.53 | 1.97 | |
| rs7108068 | 0.31 | 1.67 | 2.58 | 2.74 | 1.79 | |
| rs10896715 | 0.74 | 1.88 | 2.51 | 3.08 | 1.65 | |
| rs2298608 | 0.77 | 1.99 | 2.51 | 3.83 | 2.12 | |
| rs655316 | 0.46 | 1.62 | 2.49 | 2.74 | 1.57 | |
| rs161130 | 0.73 | 1.83 | 2.35 | 3.18 | 1.78 | |
| rs7102784 | 0.79 | 1.94 | 2.25 | 3.65 | 1.98 | |
| rs11175627 | 0.17 | 1.83 | 3.15 | 16.90 | 1.47 | |
| rs7302136 | 0.85 | 2.54 | 3.13 | 5.80 | 2.27 | |
| rs11175622 | 0.17 | 1.79 | 3.10 | 16.58 | 1.46 | |
| rs7136577 | 0.17 | 1.79 | 3.10 | 16.58 | 1.46 | |
| rs2169856 | 0.66 | 1.35 | 3.06 | 0.97 | 0.45 | |
| rs7962260 | 0.13 | 2.07 | 3.05 | 8.32 | 1.68 | |
| rs7296095 | 0.19 | 1.68 | 3.05 | 10.32 | 1.19 | |
| rs7959848 | 0.32 | 1.79 | 3.02 | 3.10 | 1.75 | |
| rs12227382 | 0.85 | 2.48 | 2.94 | 5.75 | 2.33 | |
| rs11059865 | 0.86 | 2.48 | 2.92 | 4.34 | 1.67 | |
| rs4882448 | 0.31 | 1.76 | 2.85 | 3.01 | 1.76 | |
| rs4473002 | 0.14 | 1.97 | 2.82 | 8.19 | 1.58 | |
| TABLE 44 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs7968509 | FLJ40126 Intron18 (NM_173599.1), | 12 | 38,541,115 | 3.46 | 0.24 |
| SLC2A13 Intron6 (NM_052885.1) | |||||
| rs7956512 | LOC401725 +199585 bp (XM_377278) | 12 | 82,248,022 | 3.71 | 0.46 |
| rs4768188 | FLJ40126 Intron18 (NM_173599.1), | 12 | 38,507,445 | 3.46 | 0.25 |
| SLC2A13 Intron7 (NM_052885.1) | |||||
| rs10877835 | SLC2A13 Intron3 (NM_052885.1) | 12 | 38,637,759 | 3.13 | 0.15 |
| rs11116586 | SLC6A15 +106086 bp (NM_182767.2), | 12 | 83,650,812 | 3.08 | 0.73 |
| SLC6A15 +127822 bp (NM_018057.3) | |||||
| rs908440 | TRHDE +374236 bp (NM_013381.1) | 12 | 71,719,925 | 3.11 | 0.73 |
| rs7485210 | LOC116437 β10703 bp (XM_378394) | 12 | 130,163,733 | 3.19 | 0.57 |
| rs10862927 | SLC6A15 +113194 bp (NM_182767.2), | 12 | 83,643,704 | 3.01 | 0.73 |
| SLC6A15 +134930 bp (NM_018057.3) | |||||
| rs4765680 | CACNA1C Intron3 (NM_000719.3) | 12 | 2,427,360 | 3.03 | 0.96 |
| rs4643164 | LOC122335 β355849 bp (XM_063084) | 13 | 106,724,352 | 0.88 | 0.38 |
| rs2802402 | HTR2A β215185 bp (NM_000621.1) | 13 | 46,583,361 | 2.21 | 0.30 |
| rs17640758 | DNAJD1 +11297 bp (NM_013238.1) | 13 | 42,590,879 | 2.16 | 0.14 |
| rs2282267 | CLMN Intron12 (NM_024734.2) | 14 | 94,729,648 | 3.75 | 0.69 |
| rs2208986 | SLC35F4 β84786 bp (XM_292260) | 14 | 57,218,154 | 0.82 | 0.76 |
| rs4304940 | SLC35F4 β89221 bp (XM_292260) | 14 | 57,222,589 | 0.84 | 0.75 |
| rs1028591 | LOC283547 β65737 bp (XM_378454) | 14 | 38,495,490 | 0.43 | 0.64 |
| rs7148801 | AKAP6 Intron7 (NM_004274.3) | 14 | 32,206,647 | 3.68 | 0.95 |
| rs3180753 | CLMN Intron12 (NM_024734.2) | 14 | 94,729,500 | 3.64 | 0.68 |
| rs2150324 | OR4L1 β2371 bp (XM_063310) | 14 | 19,595,673 | 0.29 | 0.54 |
| rs10483416 | AKAP6 Intron7 (NM_004274.3) | 14 | 32,145,585 | 3.27 | 0.81 |
| rs6571593 | NPAS3 Intron2 (NM_022123.1), | 14 | 32,865,564 | 3.22 | 0.48 |
| NPAS3 Intron3 (NM_173159.1) | |||||
| rs2282273 | CLMN Intron11 (NM_024734.2) | 14 | 94,730,437 | 3.41 | 0.66 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs7968509 | 0.13 | 1.99 | 2.82 | 7.74 | 1.66 | |
| rs7956512 | 0.32 | 1.75 | 2.79 | 2.82 | 1.72 | |
| rs4768188 | 0.15 | 2.01 | 2.69 | 6.02 | 1.63 | |
| rs10877835 | 0.07 | 2.28 | 2.50 | 4.03 | 2.36 | |
| rs11116586 | 0.62 | 1.68 | 2.48 | 2.41 | 1.27 | |
| rs908440 | 0.62 | 1.69 | 2.48 | 3.10 | 1.95 | |
| rs7485210 | 0.45 | 1.64 | 2.46 | 2.66 | 1.59 | |
| rs10862927 | 0.62 | 1.67 | 2.40 | 2.40 | 1.29 | |
| rs4765680 | 0.90 | 2.66 | 2.38 | ND | ND | |
| rs4643164 | 0.33 | 1.26 | 3.63 | 3.26 | 0.70 | |
| rs2802402 | 0.21 | 1.59 | 3.39 | 1.16 | 2.38 | |
| rs17640758 | 0.08 | 1.91 | 3.07 | 0.00 | 2.48 | |
| rs2282267 | 0.55 | 1.76 | 3.33 | 3.22 | 1.59 | |
| rs2208986 | 0.71 | 1.26 | 3.29 | 0.70 | 0.33 | |
| rs4304940 | 0.71 | 1.27 | 3.22 | 0.72 | 0.34 | |
| rs1028591 | 0.61 | 1.14 | 3.20 | 0.82 | 0.39 | |
| rs7148801 | 0.88 | 2.80 | 3.18 | 2.11 | 0.64 | |
| rs3180753 | 0.55 | 1.74 | 3.11 | 3.01 | 1.53 | |
| rs2150324 | 0.52 | 1.10 | 3.07 | 1.11 | 0.49 | |
| rs10483416 | 0.70 | 1.79 | 2.95 | 2.07 | 0.95 | |
| rs6571593 | 0.36 | 1.67 | 2.93 | 2.02 | 2.29 | |
| rs2282273 | 0.54 | 1.70 | 2.91 | 3.07 | 1.66 | |
| TABLE 45 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs1622029 | LOC283583 β1366892 bp (XM_211092) | 14 | 83,697,804 | 3.52 | 0.71 |
| rs8003168 | RGS6 β36445 bp (NM_004296.3) | 14 | 71,433,141 | 3.09 | 0.47 |
| rs10498642 | DICER1 Intron9 (NM_030621.2), | 14 | 94,658,292 | 3.42 | 0.62 |
| DICER1 Intron8 (NM_177438.1) | |||||
| rs9646147 | LRFN5 β190930 bp (NM_152447.2) | 14 | 40,956,160 | 3.19 | 0.92 |
| rs1187627 | CLMN Intron9 (NM_024734.2) | 14 | 94,734,482 | 3.50 | 0.59 |
| SNP_A-18219 | MAMDC1 β1035952 bp (NM_182830.2) | 14 | 47,918,097 | 3.37 | 0.59 |
| rs14042 | FLJ45244 Exon2 (NM_207443.1) | 14 | 94,715,773 | 3.38 | 0.56 |
| rs1187626 | CLMN Intron9 (NM_024734.2) | 14 | 94,735,610 | 3.38 | 0.60 |
| rs1211448 | CLMN Intron9 (NM_024734.2) | 14 | 94,734,970 | 3.28 | 0.59 |
| rs848117 | SLC25A21 Intron3 (NM_030631.1) | 14 | 36,326,610 | 3.15 | 0.12 |
| rs12900219 | NDN β100017 bp (NM_002487.2) | 15 | 21,583,560 | 3.84 | 0.93 |
| rs2247154 | TLE3 +105451 bp (NM_005078.1) | 15 | 68,024,022 | 2.86 | 0.82 |
| rs12324063 | ATP10A Intron3 (NM_024490.2) | 15 | 23,540,049 | 3.60 | 0.43 |
| rs16941388 | MYO1E β6977 bp (NM_004998.1) | 15 | 57,459,340 | 3.32 | 0.94 |
| rs3863401 | LRRC28 Intron6 (NM_44598.2) | 15 | 97,698,743 | 3.59 | 0.61 |
| rs12591327 | TLN2 +69488 bp (NM_015059.1) | 15 | 60,990,221 | 3.18 | 0.64 |
| rs7173844 | LRRC28 Intron6 (NM_144598.2) | 15 | 97,694,416 | 3.49 | 0.61 |
| rs1717831 | NDN β95082 bp (NM_002487.2) | 15 | 21,578,625 | 3.06 | 0.90 |
| rs4410020 | MGC26690 β7119 bp (NM_152450.1) | 15 | 57,510,545 | 3.02 | 0.63 |
| rs7198530 | CHD9 β179353 bp (NM_025134.2) | 16 | 51,641,067 | 1.00 | 0.17 |
| rs9937509 | CHD9 β162783 bp (NM_025134.2) | 16 | 51,657,637 | 1.00 | 0.18 |
| rs436962 | CDH11 +25906 bp (NM_001797.2), | 16 | 63,512,280 | 1.68 | 0.84 |
| CDH11 +25906 bp (NM_033664.1) | |||||
| rs4309380 | LOC440339 +245434 bp (XM_498634) | 16 | 13,523,196 | 3.83 | 0.32 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs1622029 | 0.58 | 1.74 | 2.83 | 3.23 | 2.07 | |
| rs8003168 | 0.35 | 1.64 | 2.81 | 2.21 | 2.13 | |
| rs10498642 | 0.49 | 1.68 | 2.80 | 2.91 | 1.97 | |
| rs9646147 | 0.84 | 2.19 | 2.76 | ND | ND | |
| rs1187627 | 0.46 | 1.69 | 2.75 | 2.82 | 1.79 | |
| SNP_A-18219 | 0.47 | 1.67 | 2.72 | 2.68 | 1.38 | |
| rs14042 | 0.43 | 1.67 | 2.72 | 2.86 | 1.70 | |
| rs1187626 | 0.47 | 1.68 | 2.71 | 2.88 | 1.80 | |
| rs1211448 | 0.46 | 1.66 | 2.60 | 2.74 | 1.82 | |
| rs848117 | 0.05 | 2.62 | 2.43 | ND | 2.34 | |
| rs12900219 | 0.85 | 2.46 | 3.79 | 1.48 | 0.48 | |
| rs2247154 | 0.72 | 1.74 | 3.05 | 1.62 | 0.71 | |
| rs12324063 | 0.30 | 1.74 | 2.82 | 2.80 | 1.82 | |
| rs16941388 | 0.86 | 2.42 | 2.79 | 2.83 | 1.07 | |
| rs3863401 | 0.48 | 1.71 | 2.79 | 2.85 | 1.66 | |
| rs12591327 | 0.51 | 1.65 | 2.75 | 2.88 | 1.51 | |
| rs7173844 | 0.48 | 1.69 | 2.70 | 2.79 | 1.73 | |
| rs1717831 | 0.82 | 2.03 | 2.51 | 2.45 | 1.10 | |
| rs4410020 | 0.51 | 1.64 | 2.46 | 2.76 | 2.01 | |
| rs7198530 | 0.13 | 1.40 | 3.77 | 0.00 | 2.13 | |
| rs9937509 | 0.14 | 1.39 | 3.74 | 0.00 | 2.11 | |
| rs436962 | 0.77 | 1.54 | 3.73 | 0.71 | 0.28 | |
| rs4309380 | 0.20 | 1.89 | 3.47 | 2.73 | 2.23 | |
| TABLE 46 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs35146 | CDH11 Intron12 (NM_001797.2), | 16 | 63,541,382 | 2.24 | 0.86 |
| CDH11 Intron12 (NM_033664.1) | |||||
| rs35572 | LOC390735 β442487 bp (XM_497515) | 16 | 62,385,041 | 1.02 | 0.85 |
| rs35165 | CDH11 +5537 bp (NM_001797.2), | 16 | 63,532,649 | 1.89 | 0.85 |
| CDH11 +5537 bp (NM_033664.1) | |||||
| rs9302502 | LOC440339 +251309 bp (XM_498634) | 16 | 13,517,321 | 3.58 | 0.33 |
| rs35192 | CDH11 Intron4 (NM_001797.2), | 16 | 63,587,141 | 2.72 | 0.87 |
| CDH11 Intron4 (NM_033664.1) | |||||
| rs16968101 | CDH11 +28144 bp (NM_001797.2), | 16 | 63,510,042 | 1.89 | 0.86 |
| CDH11 +28144 bp (NM_033664.1) | |||||
| rs412474 | CDH11 +15454 bp (NM_001797.2), | 16 | 63,522,732 | 2.15 | 0.86 |
| CDH11 +15454 bp (NM_033664.1) | |||||
| rs429065 | CDH11 +22043 bp (NM_001797.2), | 16 | 63,516,143 | 2.11 | 0.86 |
| CDH11 +22043 bp (NM_033664.1) | |||||
| rs1554401 | CDH11 Intron4 (NM_001797.2), | 16 | 63,588,839 | 1.62 | 0.49 |
| CDH11 Intron4 (NM_033664.1) | |||||
| rs35162 | CDH11 +5129 bp (NM_001797.2), | 16 | 63,533,057 | 2.08 | 0.86 |
| CDH11 +5129 bp (NM_033664.1) | |||||
| rs35216 | CDH11 Intron8 (NM_001797.2), | 16 | 63,572,992 | 2.08 | 0.86 |
| CDH11 Intron8 (NM_033664.1) | |||||
| rs40116 | CDH11 Intron8 (NM_001797.2), | 16 | 63,572,366 | 2.07 | 0.86 |
| CDH11 Intron8 (NM_033664.1) | |||||
| rs28216 | CDH11 Exon7 (NM_001797.2), | 16 | 63,579,615 | 2.07 | 0.86 |
| CDH11 Exon7 (NM_033664.1) | |||||
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs35146 | 0.79 | 1.70 | 3.43 | 0.76 | 0.31 | |
| rs35572 | 0.81 | 1.38 | 3.42 | ND | ND | |
| rs35165 | 0.78 | 1.61 | 3.37 | 0.67 | 0.28 | |
| rs9302502 | 0.21 | 1.84 | 3.36 | 2.44 | 2.24 | |
| rs35192 | 0.78 | 1.85 | 3.31 | ND | ND | |
| rs16968101 | 0.79 | 1.61 | 3.30 | 0.67 | 0.28 | |
| rs412474 | 0.79 | 1.68 | 3.28 | 0.76 | 0.32 | |
| rs429065 | 0.79 | 1.67 | 3.23 | 0.76 | 0.32 | |
| rs1554401 | 0.41 | 1.39 | 3.21 | 2.24 | 0.76 | |
| rs35162 | 0.79 | 1.66 | 3.19 | 0.75 | 0.32 | |
| rs35216 | 0.79 | 1.66 | 3.15 | 0.77 | 0.33 | |
| rs40116 | 0.79 | 1.65 | 3.14 | 0.76 | 0.33 | |
| rs28216 | 0.79 | 1.65 | 3.14 | 0.76 | 0.33 | |
| TABLE 47 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs35140 | CDH11 Intron11 (NM_001797.2), | 16 | 63,548,272 | 2.03 | 0.86 |
| CDH11 Intron11 (NM_033664.1) | |||||
| rs9925034 | A2BP1 Intron2 (NM_018723.2), | 16 | 6,518,170 | 1.07 | 0.48 |
| A2BP1 β804582 bp (NM_145891.1), | |||||
| A2BP1 β804582 bp (NM_145892.1), | |||||
| A2BP1 β804582 bp (NM_145893.1) | |||||
| rs460538 | CDH11 +22417 bp (NM_001797.2), | 16 | 63,315,769 | 2.03 | 0.86 |
| CDH11 +22417 bp (NM_033664.1) | |||||
| rs1079008 | CDH11 Intron2 (NM_001797.2), | 16 | 63,628,424 | 1.48 | 0.85 |
| CDH11 Intron2 (NM_033664.1) | |||||
| rs35164 | CDH11 +5484 bp (NM_001797.2), | 16 | 63,532,702 | 1.99 | 0.86 |
| CDH11 +5484 bp (NM_033664.1) | |||||
| rs35214 | CDH11 Intron8 (NM_001797.2), | 16 | 63,573,409 | 2.02 | 0.86 |
| CDH11 Intron8 (NM_033664.1) | |||||
| rs35200 | CDH11 Intron7 (NM_001797.2), | 16 | 63,579,045 | 2.02 | 0.86 |
| CDH11 Intron7 (NM_033664.1) | |||||
| rs13333495 | LOC440339 +265091 bp (XM_498634) | 16 | 13,503,539 | 3.31 | 0.32 |
| rs16962155 | LOC440339 +272794 bp (XM_498634) | 16 | 13,495,836 | 3.13 | 0.32 |
| rs6500718 | A2BP1 β257472 bp (NM_018723.2), | 16 | 5,751,661 | 3.43 | 0.95 |
| A2BP1 β1571091 bp (NM_145891.1), | |||||
| A2BP1 β1571091 bp (NM_145892.1), | |||||
| A2BP1 β1571091 bp (NM_145893.1) | |||||
| rs12595990 | LOC92017 Intron9 (XM_042234) | 16 | 12,378,613 | 3.07 | 0.51 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs35140 | 0.79 | 1.64 | 3.12 | 0.75 | 0.32 | |
| rs9925034 | 0.41 | 1.29 | 3.10 | 1.40 | 2.42 | |
| rs460538 | 0.79 | 1.65 | 3.09 | 0.76 | 0.32 | |
| rs1079008 | 0.79 | 1.49 | 3.09 | 0.50 | 0.23 | |
| rs35164 | 0.79 | 1.64 | 3.08 | 0.74 | 0.32 | |
| rs35214 | 0.79 | 1.64 | 3.08 | 0.76 | 0.33 | |
| rs35200 | 0.79 | 1.64 | 3.08 | 0.76 | 0.33 | |
| rs13333495 | 0.21 | 1.79 | 3.03 | 2.39 | 2.14 | |
| rs16962155 | 0.21 | 1.75 | 2.81 | 2.34 | 2.07 | |
| rs6500718 | 0.88 | 2.65 | 2.74 | ND | ND | |
| rs12595990 | 0.39 | 1.63 | 2.52 | 2.69 | 1.30 | |
| TABLE 48 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs8062798 | A2BP1 β253070 bp (NM_018723.2), | 16 | 5,756,063 | 3.02 | 0.95 |
| A2BP1 β1566689 bp (NM_145891.1), | |||||
| A2BP1 β1566689 bp (NM_45892.1), | |||||
| A2BP1 β1566689 bp (NM_145893.1) | |||||
| rs1816581 | CBLN1 +57699 bp (NM_004352.1) | 16 | 47,812,497 | 3.26 | 0.41 |
| rs1898359 | CBLN1 +57192 bp (NM_004352.1) | 16 | 47,813,004 | 3.26 | 0.41 |
| rs9898312 | SOCS3 +39255 bp (NM_003955.3) | 17 | 73,825,204 | 0.49 | 0.54 |
| rs231005 | PMP22 +34074 bp (NM_153322.1), | 17 | 15,039,748 | 2.71 | 0.69 |
| PMP22 +34074 bp (NM_153321.1), | |||||
| PMP22 +34074 bp (NM_000304.2) | |||||
| rs10438771 | BRIP1 +31746 bp (NM_032043.1) | 17 | 57,083,021 | 0.02 | 0.26 |
| rs2074159 | LGP2 Intron11 (NM_024119.1) | 17 | 37,510,024 | 1.71 | 0.86 |
| rs4890199 | RPH3AL +18823 bp (NM_006987.2) | 17 | 43,474 | 2.70 | 0.10 |
| rs230923 | PMP22 +16078 bp (NM_153322.1), | 17 | 15,057,744 | 2.05 | 0.68 |
| PMP22 +16078 bp (NM_153321.1), | |||||
| PMP22 +16078 bp (NM_000304.2) | |||||
| rs1553072 | FLJ35773 +12632 bp (NM_152599.2) | 17 | 8,628,576 | 3.20 | 0.24 |
| rs917593 | MGC45562 Intron2 (NM_152349.1) | 17 | 36,070,052 | 3.08 | 0.30 |
| rs17057804 | LOC284274 β273821 bp (XM_378756) | 18 | 71,542,467 | 0.03 | 0.29 |
| rs11872151 | GTSCR1 β653277 bp (XM_496277) | 18 | 67,282,963 | 2.77 | 0.97 |
| rs11150900 | LOC284274 β284312 bp (XM_378756) | 18 | 71,552,958 | 0.37 | 0.67 |
| rs1551434 | GTSCR1 β637101 bp (XM_496277) | 18 | 67,266,787 | 3.59 | 0.95 |
| rs8098925 | LOC400655 β175143 bp (XM_378753) | 18 | 69,257,838 | 3.34 | 0.64 |
| rs1828132 | LOC284276 Intron2 (XM_378757) | 18 | 72,388,920 | 3.23 | 0.52 |
| rs8088082 | PPP4R1 β42712 bp (NM_005134.1) | 18 | 9,647,279 | 3.49 | 0.21 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs8062798 | 0.89 | 2.50 | 2.38 | ND | ND | |
| rs1816581 | 0.29 | 1.70 | 2.35 | 2.66 | 1.60 | |
| rs1898359 | 0.29 | 1.70 | 2.35 | 2.66 | 1.60 | |
| rs9898312 | 0.50 | 1.15 | 3.67 | 1.43 | 2.74 | |
| rs231005 | 0.58 | 1.60 | 3.43 | 3.86 | 3.49 | |
| rs10438771 | 0.25 | 1.01 | 3.27 | 0.44 | 1.86 | |
| rs2074159 | 0.80 | 1.57 | 3.25 | ND | ND | |
| rs4890199 | 0.04 | 2.60 | 3.17 | 0.48 | 3.74 | |
| rs230923 | 0.59 | 1.50 | 3.06 | 3.63 | 3.58 | |
| rs1553072 | 0.14 | 1.93 | 2.60 | 6.76 | 1.70 | |
| rs917593 | 0.19 | 1.78 | 2.35 | 3.73 | 1.60 | |
| rs17057804 | 0.29 | 1.01 | 3.88 | 2.55 | 0.53 | |
| rs11872151 | 0.91 | 2.74 | 3.77 | 0.46 | 0.10 | |
| rs11150900 | 0.64 | 1.13 | 3.50 | 0.73 | 0.35 | |
| rs1551434 | 0.87 | 2.71 | 3.13 | 2.07 | 0.65 | |
| rs8098925 | 0.51 | 1.69 | 2.88 | 2.84 | 1.41 | |
| rs1828132 | 0.40 | 1.67 | 2.81 | 2.89 | 1.28 | |
| rs8088082 | 0.11 | 2.08 | 2.68 | 6.23 | 1.85 | |
| TABLE 49 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs2587428 | CDH7 +60322 bp (NM_033646.1), | 18 | 61,759,477 | 3.15 | 0.50 |
| CDH7 +60323 bp (NM_004361.2) | |||||
| rs6565975 | LOC441825 +102358 bp (XM_497596) | 18 | 73,316,910 | 3.19 | 0.75 |
| rs10451358 | ANKRD12 Intron7 (NM_015208.2) | 18 | 9,207,471 | 3.05 | 0.43 |
| rs1942583 | LOC441825 +112581 bp (XM_497596) | 18 | 73,327,133 | 3.02 | 0.72 |
| rs12051936 | LOC441825 +96235 bp (XM_497596) | 18 | 73,310,787 | 3.11 | 0.60 |
| rs4482359 | LOC440479 +52521 bp (XM_498693) | 18 | 10,180,764 | 3.16 | 0.64 |
| rs12462868 | FLJ36445 +22374 bp (NM_153233.1) | 19 | 41,163,676 | 2.44 | 0.30 |
| rs7260296 | NTE +9039 bp (NM_006702.2) | 19 | 7,541,689 | 0.57 | 0.62 |
| rs1102152 | KCTD15 +36141 bp (NM_024076.1) | 19 | 39,033,129 | 3.59 | 0.66 |
| rs4802905 | PPP2R1A Intron11 (NM_014225.3) | 19 | 57,415,907 | 2.59 | 0.66 |
| rs734380 | RPS5 Intron1 (NM_001009.2) | 19 | 63,590,775 | 2.85 | 0.52 |
| rs1072678 | ZNF600 +14950 bp (NM_198457.1) | 19 | 57,944,329 | 3.53 | 0.14 |
| rs734379 | RPS5 Intron1 (NM_001009.2) | 19 | 63,590,994 | 3.11 | 0.61 |
| rs6132862 | LOC400840 +29346 bp (XM_375912) | 20 | 25,669,248 | 3.95 | 0.37 |
| rs4572656 | PTPRT +22230 bp (NM_007050.3), | 20 | 40,112,577 | 3.60 | 0.89 |
| PTPRT +22230 bp (NM_133170.1) | |||||
| rs119416 | KCNB1 Intron1 (NM_004975.2) | 20 | 47,469,004 | 3.98 | 0.70 |
| rs6019825 | KCNB1 Intron1 (NM_004975.2) | 20 | 47,472,824 | 3.55 | 0.56 |
| rs6045666 | PDYN +18899 bp (NM_024411.2) | 20 | 1,888,504 | 3.67 | 0.34 |
| rs6138601 | KIAA0980 β32244 bp (NM_025176.3) | 20 | 25,487,486 | 3.69 | 0.39 |
| rs6035140 | PTPNS1 +15755 bp (NM_080792.1) | 20 | 1,884,292 | 3.67 | 0.35 |
| rs12480036 | CHD6 Intron1 (NM_032221.3) | 20 | 39,629,243 | 3.84 | 0.80 |
| rs6138598 | KIAA0980 β6294 bp (NM_025176.3) | 20 | 25,461,536 | 3.44 | 0.38 |
| rs517578 | SIRPB2 β50868 bp (NM_018556.2), | 20 | 1,637,270 | 3.30 | 0.42 |
| SIRPB2 β50868 bp (NM_080816.1) | |||||
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs2587428 | 0.38 | 1.64 | 2.60 | 2.56 | 1.91 | |
| rs6565975 | 0.63 | 1.71 | 2.57 | 3.30 | 2.24 | |
| rs10451358 | 0.31 | 1.65 | 2.54 | 3.05 | 1.32 | |
| rs1942583 | 0.61 | 1.66 | 2.42 | 3.03 | 2.17 | |
| rs12051936 | 0.47 | 1.63 | 2.33 | 2.56 | 1.70 | |
| rs4482359 | 0.51 | 1.66 | 2.30 | 2.51 | 1.46 | |
| rs12462868 | 0.21 | 1.64 | 3.69 | 11.93 | 1.05 | |
| rs7260296 | 0.58 | 1.18 | 3.37 | 1.89 | 3.13 | |
| rs1102152 | 0.53 | 1.73 | 3.18 | 2.64 | 2.56 | |
| rs4802905 | 0.55 | 1.58 | 3.13 | 2.04 | 0.85 | |
| rs734380 | 0.41 | 1.59 | 3.11 | 2.72 | 2.35 | |
| rs1072678 | 0.06 | 2.59 | 2.92 | ND | 2.53 | |
| rs734379 | 0.49 | 1.63 | 2.86 | 3.24 | 1.95 | |
| rs6132862 | 0.24 | 1.86 | 3.67 | 2.58 | 2.31 | |
| rs4572656 | 0.79 | 2.08 | 3.41 | 1.95 | 0.77 | |
| rs119416 | 0.56 | 1.79 | 3.40 | 3.04 | 1.48 | |
| rs6019825 | 0.43 | 1.70 | 3.29 | 3.06 | 1.30 | |
| rs6045666 | 0.22 | 1.85 | 3.28 | 2.73 | 2.16 | |
| rs6138601 | 0.26 | 1.80 | 3.23 | 2.64 | 2.11 | |
| rs6035140 | 0.23 | 1.83 | 3.14 | 2.65 | 2.09 | |
| rs12480036 | 0.69 | 1.89 | 3.13 | 4.18 | 2.36 | |
| rs6138598 | 0.26 | 1.76 | 3.11 | 2.45 | 2.13 | |
| rs517578 | 0.30 | 1.70 | 3.11 | 2.38 | 2.16 | |
| TABLE 50 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs2050223 | C20orf23 +550936 bp (NM_024704.3) | 20 | 15,649,814 | 1.97 | 0.65 |
| rs926663 | MAFB +68744 bp (NM_005461.3) | 20 | 38,679,189 | 2.89 | 0.47 |
| rs6072407 | CHD6 Intron2 (NM_032221.3) | 20 | 39,596,216 | 3.83 | 0.82 |
| rs6138532 | ENTPD6 β5585 bp (NM_001247.1) | 20 | 25,118,787 | 3.00 | 0.45 |
| rs6083320 | CST5 β31324 bp (NM_001900.2) | 20 | 23,839,641 | 3.26 | 0.41 |
| rs2076147 | ZHX3 Exon4 (NM_015035.2) | 20 | 39,246,420 | 3.68 | 0.50 |
| rs1857051 | CST5 β33523 bp (NM_001900.2) | 20 | 23,841,840 | 3.35 | 0.50 |
| rs4810317 | CHD6 +8124 bp (NM_032221.3) | 20 | 39,456,460 | 3.54 | 0.81 |
| rs6089908 | KCNQ2 Intron10 (NM_004518.2), | 20 | 61,519,098 | 3.33 | 0.90 |
| KCNQ2 Intron11 (NM_172106.1), | |||||
| KCNQ2 Intron12 (NM_172107.1), | |||||
| KCNQ2 Intron11 (NM_172108.1), | |||||
| KCNQ2 +16378 bp (NM 172109.1) | |||||
| rs6095508 | KCNB1 Intron1 (NM_004975.2) | 20 | 47,461,578 | 3.30 | 0.58 |
| rs4812180 | LOC284757 +371993 bp (XM_496478) | 20 | 58,704,985 | 3.73 | 0.09 |
| rs6115458 | FLJ38374 β66026 bp (NM_182583.1) | 20 | 25,917,265 | 3.19 | 0.38 |
| rs1321001 | CDH22 Intron7 (NM_021248.1) | 20 | 44,250,143 | 3.08 | 0.64 |
| rs3761258 | C20orf45 β727 bp (NM_016045.1) | 20 | 57,051,991 | 3.08 | 0.97 |
| rs94967 | LOC150084 +21299 bp (XM_086761) | 21 | 40,117,177 | 3.96 | 0.78 |
| rs4816657 | LOC150084 Intron4 (XM_086761) | 21 | 40,068,705 | 3.77 | 0.77 |
| rs2837211 | LOC150084 Intron4 (XM_086761) | 21 | 40,070,264 | 3.64 | 0.77 |
| rs1018350 | LOC150084 Intron4 (XM_086761) | 21 | 40,070,715 | 3.64 | 0.77 |
| rs463903 | LOC150084 Intron8 (XM_086761) | 21 | 40,087,547 | 3.51 | 0.77 |
| rs2837248 | PCP4 β19612 bp (NM_006198.1) | 21 | 40,141,638 | 3.50 | 0.67 |
| rs2178882 | LOC150084 Intron5 (XM_086761) | 21 | 40,075,682 | 3.44 | 0.77 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs2050223 | 0.56 | 1.46 | 3.08 | 1.66 | 0.70 | |
| rs926663 | 0.35 | 1.61 | 3.08 | 2.29 | 2.27 | |
| rs6072407 | 0.71 | 1.92 | 3.07 | 4.47 | 2.58 | |
| rs6138532 | 0.33 | 1.66 | 3.04 | 2.44 | 2.24 | |
| rs6083320 | 0.29 | 1.70 | 3.02 | 4.16 | 1.53 | |
| rs2076147 | 0.37 | 1.72 | 3.01 | 2.99 | 1.82 | |
| rs1857051 | 0.38 | 1.68 | 2.90 | 3.22 | 1.65 | |
| rs4810317 | 0.70 | 1.85 | 2.89 | 3.27 | 1.68 | |
| rs6089908 | 0.81 | 2.16 | 2.76 | 2.60 | 1.09 | |
| rs6095508 | 0.45 | 1.67 | 2.74 | 2.94 | 1.83 | |
| rs4812180 | 0.03 | 3.77 | 2.72 | ND | 3.14 | |
| rs6115458 | 0.26 | 1.71 | 2.51 | 2.56 | 1.84 | |
| rs1321001 | 0.51 | 1.65 | 2.47 | 2.84 | 1.74 | |
| rs3761258 | 0.92 | 3.07 | 2.44 | ND | ND | |
| rs94967 | 0.65 | 1.88 | 3.72 | 5.80 | 3.59 | |
| rs4816657 | 0.65 | 1.83 | 3.07 | 3.69 | 2.12 | |
| rs2837211 | 0.65 | 1.80 | 2.96 | 3.66 | 2.14 | |
| rs1018350 | 0.65 | 1.80 | 2.96 | 3.66 | 2.14 | |
| rs463903 | 0.65 | 1.78 | 2.86 | 3.63 | 2.17 | |
| rs2837248 | 0.55 | 1.71 | 2.83 | 3.10 | 1.94 | |
| rs2178882 | 0.65 | 1.80 | 2.73 | 3.61 | 2.20 | |
| TABLE 51 | |||||
| High-Risk Allele | |||||
| Critical rate, | Frequency in | ||||
| Physical | Allele | Progressive | |||
| DBSNP_ID | Exon, Intron | Chromosome | Location | (βlogP) | Glaucoma Group |
| rs4816658 | LOC150084 Intron5 (XM_086761) | 21 | 40,075,924 | 3.53 | 0.77 |
| rs458406 | LOC150084 Intron8 (XM_086761) | 21 | 40,089,698 | 3.32 | 0.77 |
| rs2837220 | LOC150084 Intron6 (XM_086761) | 21 | 40,082,808 | 3.39 | 0.73 |
| rs12627261 | LOC150084 Intron6 (XM_086761) | 21 | 40,085,416 | 3.39 | 0.73 |
| rs1571713 | LOC150084 Intron5 (XM_086761) | 21 | 40,075,065 | 3.32 | 0.77 |
| rs2826774 | NCAM2 Intron5 (NM_004540.2) | 21 | 21,588,847 | 3.34 | 0.60 |
| rs465258 | LOC150084 Intron8 (XM_086761) | 21 | 40,093,614 | 3.22 | 0.76 |
| rs369977 | LOC388814 +131764 bp (XM_373926) | 21 | 15,532,948 | 3.02 | 0.68 |
| rs5750009 | LOC402059 Intron8 (XM_497817) | 22 | 33,679,879 | 2.13 | 0.81 |
| rs1013513 | LOC402059 Intron8 (XM_497817) | 22 | 33,678,294 | 2.12 | 0.81 |
| rs5999654 | LOC402059 Intron8 (XM_497817) | 22 | 33,682,537 | 2.12 | 0.81 |
| rs1139056 | CECR1 Exon7 (NM_177405.1), | 22 | 16,035,732 | 3.28 | 0.26 |
| CECR1 Exon9 (NM_017424.2) | |||||
| rs5759839 | LOC388882 Intron4 (XM_371455) | 22 | 22,141,794 | 3.04 | 0.59 |
| High-Risk Allele | ||||||
| Frequency in | Critical rate, | Odds Ratio | Odds Ratio | |||
| Nonprogressive | Odds Ratio | Genotype | (Homozygote) | (Heterozygote) | ||
| DBSNP_ID | Glaucoma Group | (Formula 6) | (βlogP) | (Formula 7) | (Formula 8) | |
| rs4816658 | 0.65 | 1.82 | 2.72 | 3.32 | 1.92 | |
| rs458406 | 0.65 | 1.75 | 2.69 | 3.46 | 2.07 | |
| rs2837220 | 0.61 | 1.73 | 2.65 | 2.91 | 1.67 | |
| rs12627261 | 0.61 | 1.73 | 2.65 | 2.91 | 1.67 | |
| rs1571713 | 0.65 | 1.76 | 2.65 | 3.38 | 1.99 | |
| rs2826774 | 0.47 | 1.68 | 2.62 | 2.81 | 1.71 | |
| rs465258 | 0.65 | 1.73 | 2.62 | 3.45 | 2.10 | |
| rs369977 | 0.57 | 1.64 | 2.37 | 2.50 | 1.39 | |
| rs5750009 | 0.73 | 1.58 | 3.68 | 12.15 | 11.55 | |
| rs1013513 | 0.73 | 1.58 | 3.43 | 11.57 | 10.59 | |
| rs5999654 | 0.73 | 1.58 | 3.43 | 11.57 | 10.59 | |
| rs1139056 | 0.15 | 1.90 | 2.50 | 3.23 | 1.91 | |
| rs5759839 | 0.47 | 1.62 | 2.36 | 2.61 | 1.55 | |
Tables 29 to 51 list dbSNP ID number or Affimetrix Array ID number specifying known single nucleotide polymorphisms obtained, the exon, intron information (in a case where a single nucleotide polymorphism exists on a gene, the gene name and the exon or intron in which SNP exists are shown, and in a case where a single nucleotide polymorphism does not exist on a gene, neighboring genes and a distance between the gene and the single nucleotide polymorphism are shown), the chromosome number at which the single nucleotide polymorphism exists, the physical location of the single nucleotide polymorphism, the p-value for an allele according to a chi-square test (βlog P), the high-risk allele frequencies in the progressive glaucoma group and the nonprogressive glaucoma group, the odds ratio for an allele, the p-value for a genotype according to a chi-square test (βlog P), the odds ratio for a genotype of a homozygote, and the odds ratio for a genotype of a heterozygote. Here, in the tables, a portion of which odds ratio is indicated as ND shows a case where any one of the number of detection in the denominator is 0, so that the odds ratio could not be calculated.
According to the above studies, 480 single nucleotide polymorphisms of which alleles or genotypes were associated with the progression of glaucoma at a p-value of 1Γ10β3 or less were found.
When the allele or genotype frequencies listed in Tables 29 to 51 were compared between the progressive glaucoma cases and the nonprogressive glaucoma cases, a statistical difference was found. By determining an allele of any one of these single nucleotide polymorphisms, whether or not an allele that is identified in a higher frequency in the progressive glaucoma group than that of the nonprogressive glaucoma group exists in the sample can be determined.
Surrounding sequences of single nucleotide polymorphisms described in Tables 1 to 2 or Tables 26 to 28 are subjected to re-sequencing, so that the detection of a single nucleotide polymorphism can be confirmed, and that an unknown single nucleotide polymorphism that possibly exists can be identified. The re-sequencing can be performed according to any known methods, and for example, the re-sequencing can be performed by a direct sequencing method.
In order to determine the single nucleotide polymorphisms associated with glaucoma identified in Example 3 or 4, or the alleles and genotypes of known single nucleotide polymorphisms existing in the surrounding sequences of the single nucleotide polymorphisms listed in Tables 1 to 51, an immobilized probe can be prepared. A known single nucleotide polymorphism can be referred to, for example, the database of dbSNP or J SNP. In the immobilized probe, for example, an oligonucleotide probe designed so as to maximize its sensitivity, specificity or reproducibility for several probes to several hundred-thousand probes can be loaded. The immobilized probe can be produced according to a method such as a method of synthesizing an oligonucleotide on a solid carrier or a method including the steps of previously synthesizing an oligonucleotide and immobilizing the oligonucleotide in a high density on a solid carrier.
The presence or the absence of the onset of glaucoma can be determined at a more accurate level using the immobilized probe produced in Example 6. A probe for detecting a single nucleotide polymorphism associated with a disease is plurally combined, so that the level of which the onset risk of glaucoma increases is evaluated. In a case where a value exceeds a threshold, it is determined that the onset of glaucoma takes place.
In addition, using the immobilized probe produced in Example 6, the single nucleotide polymorphism existing on the genome of the glaucoma patients and that of the non-glaucoma patients can be compared. There is a possibility that single nucleotide polymorphisms existing in locations with an adjacent distance to each other are linked and inherited by linkage disequilibrium. There is a possibility that single nucleotide polymorphisms linked with the single nucleotide polymorphisms listed in Tables 1 and 2 or Tables 26 to 28 can be identified by the immobilized probe, so that it can be expected that a single nucleotide polymorphism having an even stronger association with glaucoma is found.
In order to maintain a statistical power while lowering type I error, candidate single nucleotide polymorphisms associated with the onset of glaucoma identified in the primary analysis of Example 3 were subjected to a secondary analysis of a single nucleotide polymorphism in separately collected samples using an array for analyzing a single nucleotide polymorphism designed in an original style (hereinafter, referred to as a custom array).
For the custom array, a kit for analyzing a single nucleotide polymorphism commercially available from Illumina [Illumina, iSelectβ’ Genotyping BeadChip] was used. For 446 single nucleotide polymorphisms associated with the onset of glaucoma showing a p-value of 1Γ10β3 or less in Example 3, the designing of a probe for specifically detecting these single nucleotide polymorphisms was tried. Since these probes are randomly immobilized to the substrate via beads, the step of specifying a location of the beads (decoding) is needed. A probe for detecting a single nucleotide polymorphism of which location was unable to be specified in a process of decoding was excluded from the subject for analysis. As a result, the preparation of a custom array capable of typing 412 single nucleotide polymorphisms out of 446 single nucleotide polymorphisms is made possible, and the custom array was used in the analysis of a single nucleotide polymorphism described later. Here, as described in the section of Infinium (registered trademark) assay in a beads-array method, in these assay methods, there are two methods, i.e. a method using one kind of a probe and a method using two kinds of probes. Basically, in the detection of one single nucleotide polymorphism, one kind of the probe was used, and two probes were used for some single nucleotide polymorphisms.
The experiment was performed in accordance with the instruction manuals of the custom array kit and the analyzing instrument of Illumina, using specialized reagents contained in the kit. Briefly, the experimental procedures will be explained as follows. A reagent specialized in the treatment of the genome and a sodium hydroxide solution were added to 150 to 300 ng of the total DNA extracted in Example 1. Next, an enzyme for amplifying a whole genome was added thereto, and the mixture was incubated at 37Β° C. for 20 to 24 hours, and a whole genome was amplified. Further, an enzyme for fragmentation was added thereto, and the mixture was incubated at 37Β° C. for one hour. After the DNA was precipitated with isopropanol, a reagent for solubilization was added to the precipitates, and the mixture was suspended at 48Β° C. for one hour. A mixture was heat-denatured at 95Β° C. for 20 minutes, and this solution was injected into the custom array, and hybridization was carried out at 48Β° C. for 16 to 24 hours.
After the hybridization, an allele-specific extension reaction or a single base extension reaction was performed for each probe, and the fluorescent signals were amplified. The signals were read with a scanner (Illumina, BeadArray Reader) compatible to the kit. In addition, a specialized software (Illumina, BeadStudio 3.1) was used in the analysis of the single nucleotide polymorphisms. According to the present analytical method, the opposite alleles of a single nucleotide polymorphism can be determined simultaneously, and the genotypes were determined on the basis of the analytical results. The genotype was determined to be a heterozygote when both the signals of each of the alleles constituting a single nucleotide polymorphism were detected, and the genotype was determined to be a homozygote of the detected allele when only one of the signals of the alleles was detected.
The precision of the determination of a genotype was confirmed for all the single nucleotide polymorphisms to be analyzed on the basis of a cluster image showing a distribution of fluorescent signals, in accordance with Infinium (registered trademark) Genotyping Data Analysis, an analyzing manual of Illumina. The genotypes of the single nucleotide polymorphisms that are determined accurately are indicated on the image as three clusters of fluorescent signals that are completely separated from each other (two kinds of homozygotes and a heterozygote).
On the other hand, boundary lines of the three clusters become unclear for the single nucleotide polymorphisms that are not determined accurately. In a case where a degree of separation of the clusters is determined not to be high according to analysis software, the cluster image of the single nucleotide polymorphism was reconfirmed. In a case where a genotype was determined regardless of unclearness of the clusters, the sample was excluded from the subsequent analytical operations. Here, the confirmation of the cluster image was carried out under masking, in other words, in a state that the names of single nucleotide polymorphisms and p-values could not be compared with the single nucleotide polymorphisms. Here, the single nucleotide polymorphisms overlapping between the custom array used in the secondary analysis and GeneChip Human Mapping 500K of Affimetrix used in the primary analysis showed a concordance rate of 99% or more, when the concordance rates of the determination of genotypes were compared using 104 samples.
Primary open-angle glaucoma patients and normal tension glaucoma patients diagnosed on the basis of Guidelines offered by Japan Glaucoma Society were assigned to a glaucoma patient group, and healthy individuals confirmed to have no family history of glaucoma according to a medical interview were assigned to a non-patient group. For the present analysis, the same samples used in Example 3 for performing the primary analysis were not used, and new samples were collected. Blood donated under the consent on free will of the participants after having sufficiently explained the contents of studies from 409 cases of the glaucoma patient group and 448 controls of the non-patient group, each group being different from those of Example 3 was used as a specimen, a total DNA was extracted according to the method described in Example 1, and the analysis of single nucleotide polymorphisms was performed according to the method described in Example 9. The analytical results of a single nucleotide polymorphism obtained in each of the patients were stored in the Laboratory Information Management System (World Fusion, LaboServer) adopting a relational database. A specialized analysis program for a single nucleotide polymorphism was created and loaded within the system, and the analysis described as follows was performed. In detail, a single nucleotide polymorphism considered to have a high experimental reliability was extracted by rejecting a single nucleotide polymorphism having a call rate of less than 90% in both the glaucoma patient group and the non-patient group, and a single nucleotide polymorphism having a minor allele frequency of less than 5%.
In a meta-analysis, the Mantel-Haenszel method was used (Wakariyasui Igaku Tokeigaku (Easy Medical Statistics), pp. 48-80, Toshio MORIZANE, Medical Tribune). In detail, 402 single nucleotide polymorphisms considered to have a high experimental reliability in both of the methods described in Example 3 and Example 10 were subjected to statistical comparisons of the allele frequency and two genotype frequencies (a dominant genetic model and a recessive genetic model) using Mantel-Haenszel chi-square test. Single nucleotide polymorphisms of which any one of an allele model, a dominant genetic model, and a recessive genetic model shows association with the onset of glaucoma at a p-value of 1.2Γ10β4 or less (the level of Bonferroni correction corresponding to p<5Γ10β2 when 402 times of multiple comparisons were performed), that is, βlog P of 3.91 or more, are listed in Table 52.
The calculations of the Mantel-Haenszel chi-square test, and the odds ratio in the Mantel-Haenszel method for these single nucleotide polymorphisms, and a 95% confidence interval were performed according to the following procedures.
A Mantel-Haenszel chi-square value was determined for the allele model, the dominant genetic model, and the recessive genetic model, and a p-value was calculated by comparing the value with the chi-square distribution of a degree of freedom of 1.
The Mantel-Haenszel chi-square value (ΟAMH2) of the allele model was calculated according to the following formulas.
EAi=xAimAi/NAi
VA i = mA i ξ’ nA i ξ’ xA i ξ’ yA i NA i 2 ξ’ ( NA i - 1 ) Ο ξ’ ξ’ A MH 2 = [ ο β i = 1 k ξ’ ( hA i - EA i ) ο - 0.5 ] 2 β i = 1 k ξ’ VA i
The Mantel-Haenszel chi-square value (ΟDMH2) of the dominant genetic model was calculated according to the following formulas.
EDi=xDimDi/NDi
VD i = mD i ξ’ nD i ξ’ xD i ξ’ yD i ND i 2 ξ’ ( ND i - 1 ) Ο ξ’ ξ’ D MH 2 = [ ο β i = 1 k ξ’ ( hD i - ED i ) ο - 0.5 ] 2 β i = 1 k ξ’ VD i
The Mantel-Haenszel chi-square value (ΟRMH2) of the recessive genetic model was calculated according to the following formulas.
ERi=xRimRi/NRi
VR i = mR i ξ’ nR i ξ’ xR i ξ’ yR i NR i 2 ξ’ ( NR i - 1 ) Ο ξ’ ξ’ R MH 2 = [ ο β i = 1 k ξ’ ( hR i - ER i ) ο - 0.5 ] 2 β i = 1 k ξ’ VR i
The odds ratio in the Mantel-Haenszel test was calculated for the allele model, the dominant genetic model, and the recessive genetic model.
The odds ratio in the Mantel-Haenszel test (ORaMH) for the allele model was calculated according to the following formula.
ORa MH = β i = 1 k ξ’ Aa i ξ’ Da i / Za i β i = 1 k ξ’ Ba i ξ’ Ca i / Za i
The odds ratio in the Mantel-Haenszel test (ORdMH) for the dominant genetic model was calculated according to the following formula.
ORd MH = β i = 1 k ξ’ Ad i ξ’ Dd i / Zd i β i = 1 k ξ’ Bd i ξ’ Cd i / Zd i
The odds ratio in the Mantel-Haenszel test (ORrMH) for the recessive genetic model was calculated according to the following formula.
ORr MH = β i = 1 k ξ’ Ar i ξ’ Dr i / Zr i β i = 1 k ξ’ Br i ξ’ Cr i / Zr i
A 95% confidence interval of the odds ratio in the Mantel-Haenszel test was calculated for the allele model, the dominant genetic model, and the recessive genetic model.
The 95% confidence interval (95% CIA) for the allele model was calculated according to the following formulas.
PA
i
=
aA
i
+
dA
i
zA
i
,
QAi
=
bA
i
+
cA
i
zA
i
,
ξ’
RA
i
=
aA
i
ξ’
dA
i
zA
i
,
SA
i
=
bA
i
ξ’
cA
i
zA
i
VarA
=
β
i
=
1
k
ξ’
PA
i
ξ’
RA
i
2
ξ’
(
β
i
=
1
k
ξ’
RA
i
)
+
β
i
=
1
k
ξ’
(
PA
i
ξ’
SA
i
+
QA
i
ξ’
RA
i
)
2
ξ’
β
i
=
1
k
ξ’
RA
i
ξ’
β
i
=
1
k
ξ’
SA
i
+
β
i
=
1
k
ξ’
QA
i
ξ’
SA
i
2
ξ’
(
β
i
=
1
k
ξ’
SA
i
)
2
95% CIA=exp(log ORaMHΒ±1.96β{square root over (VarA)})
A 95% confidence interval (95% CId) for the dominant genetic model was calculated according to the following formulas.
PD
i
=
aD
i
+
dD
i
zD
i
,
QDi
=
bD
i
+
cD
i
zD
i
,
ξ’
RD
i
=
aD
i
ξ’
dD
i
zD
i
,
SD
i
=
bD
i
ξ’
cD
i
zD
i
VarD
=
β
i
=
1
k
ξ’
PD
i
ξ’
RD
i
2
ξ’
(
β
i
=
1
k
ξ’
RD
i
)
+
β
i
=
1
k
ξ’
(
PD
i
ξ’
SD
i
+
QD
i
ξ’
RD
i
)
2
ξ’
β
i
=
1
k
ξ’
RD
i
ξ’
β
i
=
1
k
ξ’
SD
i
+
β
i
=
1
k
ξ’
QD
i
ξ’
SD
i
2
ξ’
(
β
i
=
1
k
ξ’
SD
i
)
2
95% CId=exp(log ORdΒ±1.96β{square root over (VarD)})
A 95% confidence interval (95% CIr) for the recessive genetic model was calculated according to the following formulas.
PR
i
=
aR
i
+
dR
i
zR
i
,
QRi
=
bR
i
+
cR
i
zR
i
,
ξ’
RR
i
=
aR
i
ξ’
dR
i
zR
i
,
SR
i
=
bR
i
ξ’
cR
i
zR
i
VarR
=
β
i
=
1
k
ξ’
PR
i
ξ’
RR
i
2
ξ’
(
β
i
=
1
k
ξ’
RR
i
)
+
β
i
=
1
k
ξ’
(
PR
i
ξ’
SR
i
+
QR
i
ξ’
RR
i
)
2
ξ’
β
i
=
1
k
ξ’
RR
i
ξ’
β
i
=
1
k
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SR
i
+
β
i
=
1
k
ξ’
QR
i
ξ’
SR
i
2
ξ’
(
β
i
=
1
k
ξ’
SR
i
)
2
95% CIr=exp(log ORrMHΒ±1.96β{square root over (VarR)})
| TABLE 52 | |||||||||
| High-Risk | High-Risk | ||||||||
| Allele | Allele | ||||||||
| High- | Frequency in | Frequency in | |||||||
| Chromo- | Physical | Link- | Allele | Allele | Risk | Glaucoma | Non-Patient | ||
| dBSNP ID | some | Location | Exon, Intron | age | 1 | 2 | Allele | Patient Group | Group |
| rs4516662 | 4 | 140,178,445 | CCRN4L β116103 bp (NM_012118.2) | LD1 | C | G | C | 0.56 | 0.51 |
| rs13110551 | 4 | 140,178,323 | CCRN4L β116225 bp (NM_012118.2) | LD1 | A | G | G | 0.58 | 0.52 |
| rs11123034 | 2 | 124,776,617 | CNTNAP5 Intron3 (NM_130773.2), | LD2 | A | G | G | 0.59 | 0.54 |
| CNTNAP5 Intron3 (NM_138996.1) | |||||||||
| rs12611812 | 1 | 124,776,344 | CNTNAP5 Intron3 (NM_130773.2), | LD2 | A | T | A | 0.59 | 0.54 |
| CNTNAP5 Intron3 (NM_138996.1) | |||||||||
| rs7961953 | 12 | 81,594,304 | DKFZp762A217 Intron1 (NM_152588.1) | A | G | A | 0.33 | 0.26 | |
| rs6451268 | 5 | 36,291,121 | FLJ25422 Intron11 (NM_145000.2) | A | G | G | 0.62 | 0.58 | |
| rs7559118 | 2 | 133,706,762 | FLJ34870 Intron4 (NM_207481.1) | A | G | G | 0.64 | 0.58 | |
| rs7850541 | 9 | 133, ,108 | GBGT1 β11253 bp (NM_021996.3) | A | G | G | 0.78 | 0.72 | |
| rs9358578 | 6 | 22,810,626 | LOC389370 Intron1 (XM_374162) | A | G | A | 0.45 | 0.38 | |
| rs16935718 | 8 | 70,265,523 | LOC389667 +60391 bp (XM_372046) | LD3 | A | G | A | 0.74 | 0.68 |
| rs16935744 | 8 | 70, ,548 | LOC389867 +75414 bp (XM_372046) | LD3 | A | C | C | 0.74 | 0.68 |
| rs705994 | 8 | 70,293,144 | LOC389667 +90010 bp (XM_372046) | LD3 | A | G | G | 0.71 | 0.65 |
| rs10517356 | 4 | 62,947,647 | LOC391656 β135832 bp (XM_373027) | A | G | G | 0.51 | 0.46 | |
| rs7081435 | 10 | 20,678,891 | PLXDC2 +69770 bp (NM_002812.7) | A | C | A | 0.83 | 0.76 | |
| rs547984 | 1 | 234,422,927 | ZP4 β42931 bp (NM_021186.2) | LD4 | A | C | A | 0.54 | 0.46 |
| rs540782 | 1 | 234,423,080 | ZP4 β43104 bp (NM_021186.2) | LD4 | C | G | G | 0.54 | 0.46 |
| rs693471 | 1 | 234,425,131 | ZP4 β45155 bp (NM_021186.2) | LD4 | A | C | A | 0.53 | 0.46 |
| rs2499601 | 1 | 234,430,934 | ZP4 β50968 bp (NM_021186.2) | LD4 | A | G | G | 0.53 | 0.46 |
| Mantel- | Mantel- | ||||||||
| Haenszel | Haenszel | 95% | Sequence | Sequence | Sequence 1 | Sequence 2 | |||
| Test | Test | Odds | Confidence | Containing | Containing | for Secondary | for Secondary | ||
| dBSNP ID | p-value | Model | Ratio | Interval | Allele 1 | Allele 2 | Analysis Probe | Analysis Probe | |
| rs4516662 | 0.000021 | Dominant | 1.7 | 1.4-2.3 | SEQ ID No: 203 | SEQ ID No: 204 | SEQ ID No: 515 | SEQ ID No: 533 | |
| rs13110551 | 0.000004 | Dominant | 1.9 | 1.4-2.6 | SEQ ID No: 205 | SEQ ID No: 206 | SEQ ID No: 516 | ||
| rs11123034 | 0.000074 | Recessive | 1.6 | 1.2-1.9 | SEQ ID No: 207 | SEQ ID No: 208 | SEQ ID No: 517 | ||
| rs12611812 | 0.000074 | Recessive | 1.6 | 1.2-1.9 | SEQ ID No: 209 | SEQ ID No: 210 | SEQ ID No: 518 | SEQ ID No: 534 | |
| rs7961953 | 0.000067 | Allele | 1.4 | 1.2-1.6 | SEQ ID No: 211 | SEQ ID No: 212 | SEQ ID No: 519 | ||
| rs6451268 | 0.000072 | Dominant | 1.8 | 1.3-2.3 | SEQ ID No: 213 | SEQ ID No: 214 | SEQ ID No: 520 | ||
| rs7559118 | 0.000005 | Dominant | 1.9 | 1.4-2.5 | SEQ ID No: 215 | SEQ ID No: 216 | SEQ ID No: 521 | ||
| rs7850541 | 0.000109 | Allele | 1.4 | 1.2-1.6 | SEQ ID No: 217 | SEQ ID No: 218 | SEQ ID No: 522 | ||
| rs9358578 | 0.000106 | Allele | 1.3 | 1.2-1.5 | SEQ ID No: 219 | SEQ ID No: 220 | SEQ ID No: 523 | ||
| rs16935718 | 0.000017 | Dominant | 2.4 | 1.6-3.5 | SEQ ID No: 221 | SEQ ID No: 222 | SEQ ID No: 524 | ||
| rs16935744 | 0.000024 | Dominant | 2.3 | 1.6-3.4 | SEQ ID No: 223 | SEQ ID No: 224 | SEQ ID No: 525 | ||
| rs705994 | 0.000030 | Dominant | 2.1 | 1.5-2.9 | SEQ ID No: 225 | SEQ ID No: 226 | SEQ ID No: 526 | ||
| rs10517356 | 0.000067 | Dominant | 1.6 | 1.3-2β | SEQ ID No: 227 | SEQ ID No: 228 | SEQ ID No: 527 | ||
| rs7081435 | 0.000010 | Allele | 1.5 | 1.2-1.8 | SEQ ID No: 229 | SEQ ID No: 230 | SEQ ID No: 528 | ||
| rs547984 | 0.000056 | Allele | 1.3 | 1.2-1.5 | SEQ ID No: 231 | SEQ ID No: 232 | SEQ ID No: 529 | ||
| rs540782 | 0.000054 | Dominant | 1.6 | 1.3-2β | SEQ ID No: 233 | SEQ ID No: 234 | SEQ ID No: 530 | SEQ ID No: 535 | |
| rs693471 | 0.000032 | Dominant | 1.6 | 1.3-2β | SEQ ID No: 235 | SEQ ID No: 236 | SEQ ID No: 531 | ||
| rs2499601 | 0.000078 | Dominant | 1.6 | 1.3-2β | SEQ ID No: 237 | SEQ ID No: 238 | SEQ ID No: 532 | ||
| indicates data missing or illegible when filed |
Table 52 lists dbSNP ID number specifying known single nucleotide polymorphisms obtained, the chromosome number at which a single nucleotide polymorphism exists, the physical location of a single nucleotide polymorphism, the exon, intron information (in a case where a single nucleotide polymorphism exists on a gene, the gene name and the exon or intron in which SNP exists are shown, and in a case where a single nucleotide polymorphism does not exist on a gene, neighboring genes and a distance between the gene and the single nucleotide polymorphism are shown), the information on the linkage disequilibrium state (the numbers of LD1 to LD4 were assigned to single nucleotide polymorphisms which exist in the same linkage disequilibrium region), each of bases constituting Allele 1 and Allele 2, the base of a high-risk allele, high-risk allele frequencies of the glaucoma patient group and the non-patient group, the p-value in a test method having the lowest p-value among three Mantel-Haenszel tests (allele frequency, dominant genetic model, and recessive genetic model), the kinds of the tests thereof, the odds ratio thereof, the 95% confidence interval thereof, SEQ ID NO: of the sequence containing Allele 1 and SEQ ID NO: of the sequence containing Allele 2 in each of the polymorphic sites, and SEQ ID NO: showing a base sequence of a probe used in a secondary analysis (basically, both the alleles are detected by the same probe, and in a case where the alleles are discriminated using two kinds of probes, both the sequences are listed together). Here, one of ordinary skill in the art can obtain the information for sequences or alleles of the single nucleotide polymorphisms from dbSNP ID number listed above.
When the allele or genotype frequencies of the single nucleotide polymorphisms listed in Table 52 were compared between the non-patients and the glaucoma patients, a statistical difference was found according to Mantel-Haenszel chi-square test. By determining an allele of any one of these single nucleotide polymorphisms in the same manner as that in Example 3, whether or not an allele that is identified in a higher frequency in the glaucoma patient group than that of the non-patient group exists in the sample can be determined.
According to the above studies, 18 single nucleotide polymorphisms of which alleles or genotypes were associated with glaucoma at a p-value of 1.2Γ10β4 or less existing in clusters in relatively adjacent regions on the genome were found in 11 regions.
An allele identified in a high frequency in the glaucoma patient group for single nucleotide polymorphisms listed in Table 52 (in other words, a high-risk allele) or a genotype (in other words, a homozygote of a high-risk allele or a heterozygote when the high-risk allele complies with a dominant genetic model, or a homozygote of a high-risk allele when the high-risk allele complies with a recessive genetic model) can be used as a marker showing that an onset risk of glaucoma is high. On the other hand, an allele that is opposite to the allele or a genotype other than the genotype can be used as a marker showing that an onset risk of glaucoma is low.
Similarly, a single nucleotide polymorphism of which allele or genotype shows association with the onset of glaucoma at a p-value of 1Γ10β2 or less, i.e. βlog P of 2 or more is listed in Tables 53 to 62.
| TABLE 53 | ||||||||
| High-Risk | High-Risk | |||||||
| Allele | Allele | |||||||
| High- | Frequency in | Frequency in | ||||||
| Chromo- | Physical | Allele | Allele | Risk | Glaucoma | Non-Patient | ||
| dBSNP ID | some | Location | Exon, Intron | 1 | 2 | Allele | Patient Group | Group |
| rs429419 | 5 | 33,624,092 | ADAMTS12 Intron17 (NM_030955.1) | C | G | G | 0.91 | 0.87 |
| rs818725 | 5 | 33,624,060 | ADAMTS12 Intron17 (NM_030955.1) | C | G | G | 0.91 | 0.87 |
| rs10902569 | 15 | 98,663,829 | ADAMTS17 Intron3 (NM_139057.1) | A | G | A | 0.33 | 0.33 |
| rs2387658 | 10 | 1,413,905 | ADARB2 Intron1 (NM_018702.1) | A | C | C | 0.75 | 0.75 |
| rs9881866 | 3 | 106,304,709 | ALCAM β264171 bp (NM_001627.1) | A | G | G | 0.14 | 0.11 |
| rs1342022 | 9 | 72,935,061 | ANXA1 β61274 bp (NM_000700.1) | A | G | G | 0.59 | 0.54 |
| rs6097745 | 20 | 52,101,533 | BCA51 Intron3 (NM_003657.1) | A | G | A | 0.30 | 0.27 |
| rs2816632 | 14 | 104,812,400 | BRF1 Intron2 (NM_001519.2), | A | G | G | 0.21 | 0.16 |
| BRF1 β27133 bp (NM_145685.1), | ||||||||
| BRF1 β26567 bp (NM_145696.1) | ||||||||
| rs16940484 | 18 | 19,936,298 | C18orf17 Intron6 (NM_153211.1) | A | G | A | 0.33 | 0.29 |
| rs6115865 | 20 | 3,307,303 | C20orf194 β37687 bp (XM_045421) | A | G | A | 0.39 | 0.33 |
| rs1467913 | 3 | 50,500,021 | CACNA2D2 Intron2 (NM_006030.1) | A | C | A | 0.57 | 0.52 |
| rs6786523 | 3 | 50,499,225 | CACNA2D2 Intron2 (NM_006030.1) | A | G | A | 0.57 | 0.52 |
| rs12494849 | 1 | 50,499,562 | CACNA2D2 Intron2 (NM_006030.1) | C | G | C | 0.57 | 0.52 |
| rs7571760 | 2 | 37,654,409 | CDC42EP3 +127985 bp (NM_006449.3) | A | G | A | 0.40 | 0.35 |
| rs10130333 | 14 | 88,929,499 | CHES1 Intron2 (NM_005197.1) | A | C | A | 0.66 | 0.64 |
| Mantel- | Mantel- | ||||||||
| Haenszel | Haenszel | 95% | Sequence | Sequence | Sequence 1 | Sequence 2 | |||
| Test | Test | Odds | Confidence | Containing | Containing | for Secondary | for Secondary | ||
| dBSNP ID | p-value | Model | Ratio | Interval | Allele 1 | Allele 2 | Analysis Probe | Analysis Probe | |
| rs429419 | 0.002845 | Allele | 1.41 | 1.1-1.8 | SEQ ID No: 239 | SEQ ID No: 240 | SEQ ID No: 536 | SEQ ID No: 674 | |
| rs818725 | 0.003115 | Allele | 1.41 | 1.1-1.8 | SEQ ID No: 241 | SEQ ID No: 242 | SEQ ID No: 537 | SEQ ID No: 675 | |
| rs10902569 | 0.004911 | Recessive | 1.60 | 1.2-2.2 | SEQ ID No: 243 | SEQ ID No: 244 | SEQ ID No: 538 | ||
| rs2387658 | 0.001798 | Recessive | 1.39 | 1.1-1.7 | SEQ ID No: 245 | SEQ ID No: 246 | SEQ ID No: 539 | ||
| rs9881866 | 0.006808 | Allele | 1.35 | 1.1-1.7 | SEQ ID No: 247 | SEQ ID No: 248 | SEQ ID No: 540 | ||
| rs1342022 | 0.000210 | Recessive | 1.51 | 1.2-1.9 | SEQ ID No: 249 | SEQ ID No: 250 | SEQ ID No: 541 | ||
| rs6097745 | 0.006893 | Dominant | 1.32 | 1.1-1.6 | SEQ ID No: 251 | SEQ ID No: 252 | SEQ ID No: 542 | ||
| rs2816632 | 0.002470 | Allele | 1.33 | 1.1-1.6 | SEQ ID No: 253 | SEQ ID No: 254 | SEQ ID No: 543 | ||
| rs16940484 | 0.005060 | Allele | 1.25 | 1.1-1.5 | SEQ ID No: 255 | SEQ ID No: 256 | SEQ ID No: 544 | ||
| rs6115865 | 0.000217 | Dominant | 1.47 | 1.2-1.8 | SEQ ID No: 257 | SEQ ID No: 258 | SEQ ID No: 545 | ||
| rs1467913 | 0.001774 | Dominant | 1.49 | 1.2-1.9 | SEQ ID No: 259 | SEQ ID No: 260 | SEQ ID No: 546 | ||
| rs6786523 | 0.001906 | Dominant | 1.49 | 1.2-1.9 | SEQ ID No: 261 | SEQ ID No: 262 | SEQ ID No: 547 | ||
| rs12494849 | 0.005312 | Allele | 1.23 | 1.1-1.4 | SEQ ID No: 263 | SEQ ID No: 264 | SEQ ID No: 548 | SEQ ID No: 676 | |
| rs7571760 | 0.000490 | Recessive | 1.68 | 1.3-2.2 | SEQ ID No: 265 | SEQ ID No: 266 | SEQ ID No: 549 | ||
| rs10130333 | 0.005714 | Dominant | 1.53 | 1.1-2.1 | SEQ ID No: 267 | SEQ ID No: 268 | SEQ ID No: 550 | ||
| TABLE 54 | ||||||||
| High-Risk | High-Risk | |||||||
| Allele | Allele | |||||||
| High- | Frequency in | Frequency in | ||||||
| Chromo- | Physical | Allele | Allele | Risk | Glaucoma | Non-Patient | ||
| dBSNP ID | some | Location | Exon, Intron | 1 | 2 | Allele | Patient Group | Group |
| rs493622 | 11 | 89,882,297 | CHORDC1 β286443 bp (NM_012124.1) | A | C | A | 0.81 | 0.76 |
| rs562160 | 11 | 89,887,386 | CHORDC1 β291532 bp (NM_012124.1) | A | G | G | 0.81 | 0.76 |
| rs2139539 | 1 | 31,786,872 | COL16A1 +69 bp (NM_001856.2) | A | G | G | 0.84 | 0.80 |
| rs909002 | 1 | 31,808,728 | COL16A1 Intron44 (NM_001856.2) | A | G | G | 0.81 | 0.77 |
| rs7902091 | 10 | 68,268,298 | CTNNA3 Intron7 (NM_013266.1) | A | C | A | 0.50 | 0.45 |
| rs2233476 | 3 | 50,363,387 | CYB561D2 Exon1 (NM_007022.3) | A | C | A | 0.52 | 0.46 |
| rs7676755 | 4 | 187,490,196 | CYP4V2 Intron2 (NM_207352.1) | C | G | C | 0.81 | 0.80 |
| rs3862680 | 18 | 48,184,338 | DCC Intron1 (NM_005215.1) | A | C | A | 0.58 | 0.53 |
| rs3862681 | 18 | 48,184,688 | DCC Intron1 (NM_005215.1) | A | G | A | 0.58 | 0.53 |
| rs11737784 | 4 | 84,300,869 | DKFZp686L1814 β11708 bp (NM_194282.1) | A | C | C | 0.79 | 0.76 |
| rs13137759 | 4 | 84,262,335 | DKFZp686L1814 Intron2 (NM_194282.1) | A | G | A | 0.79 | 0.76 |
| rs12700287 | 7 | 21,385,860 | DNAH11 Intron8 (NM_003777.1) | C | G | C | 0.95 | 0.93 |
| rs5765558 | 22 | 44,363,516 | E46L β24767 bp (NM_013236.1) | A | G | A | 0.58 | 0.53 |
| rs4823324 | 22 | 44,558,660 | E46L Intron10 (NM_013236.1) | A | G | A | 0.50 | 0.45 |
| rs1892116 | 1 | 243,406,363 | ELYS Intron2 (NM_175865.1), | A | G | A | 0.75 | 0.70 |
| ELYS Intron2 (NM_015446.1) | ||||||||
| Mantel- | Mantel- | ||||||||
| Haenszel | Haenszel | 95% | Sequence | Sequence | Sequence 1 | Sequence 2 | |||
| Test | Test | Odds | Confidence | Containing | Containing | for Secondary | for Secondary | ||
| dBSNP ID | p-value | Model | Ratio | Interval | Allele 1 | Allele 2 | Analysis Probe | Analysis Probe | |
| rs493622 | 0.000467 | Allele | 1.36 | 1.1-1.6 | SEQ ID No: 269 | SEQ ID No: 270 | SEQ ID No: 551 | ||
| rs562160 | 0.000696 | Allele | 1.35 | 1.1-1.6 | SEQ ID No: 271 | SEQ ID No: 272 | SEQ ID No: 552 | ||
| rs2139539 | 0.008566 | Dominant | 2.36 | 1.2-4.5 | SEQ ID No: 273 | SEQ ID No: 274 | SEQ ID No: 553 | ||
| rs909002 | 0.002649 | Dominant | 2.26 | 1.3-3.9 | SEQ ID No: 275 | SEQ ID No: 276 | SEQ ID No: 554 | ||
| rs7902091 | 0.001835 | Recessive | 1.47 | 1.2-1.9 | SEQ ID No: 277 | SEQ ID No: 278 | SEQ ID No: 555 | ||
| rs2233476 | 0.000169 | Dominant | 1.55 | 1.2-1.9 | SEQ ID No: 279 | SEQ ID No: 280 | SEQ ID No: 556 | ||
| rs7676755 | 0.006756 | Dominant | 1.96 | 1.2-3.2 | SEQ ID No: 281 | SEQ ID No: 282 | SEQ ID No: 557 | SEQ ID No: 677 | |
| rs3862680 | 0.002299 | Allele | 1.25 | 1.1-1.4 | SEQ ID No: 283 | SEQ ID No: 284 | SEQ ID No: 558 | ||
| rs3862681 | 0.002675 | Allele | 1.25 | 1.1-1.4 | SEQ ID No: 285 | SEQ ID No: 286 | SEQ ID No: 559 | ||
| rs11737784 | 0.007584 | Recessive | 1.32 | 1.1-1.6 | SEQ ID No: 287 | SEQ ID No: 288 | SEQ ID No: 560 | ||
| rs13137759 | 0.008987 | Recessive | 1.32 | 1.1-1.6 | SEQ ID No: 289 | SEQ ID No: 290 | SEQ ID No: 561 | ||
| rs12700287 | 0.005463 | Allele | 1.54 | 1.1-2.1 | SEQ ID No: 291 | SEQ ID No: 292 | SEQ ID No: 562 | SEQ ID No: 678 | |
| rs5765558 | 0.003829 | Allele | 1.24 | 1.1-1.4 | SEQ ID No: 293 | SEQ ID No: 294 | SEQ ID No: 563 | ||
| rs4823324 | 0.003204 | Allele | 1.24 | 1.1-1.4 | SEQ ID No: 295 | SEQ ID No: 296 | SEQ ID No: 564 | ||
| rs1892116 | 0.002178 | Allele | 1.28 | 1.1-1.5 | SEQ ID No: 297 | SEQ ID No: 298 | SEQ ID No: 565 | ||
| TABLE 55 | ||||||||
| High-Risk | High-Risk | |||||||
| Allele | Allele | |||||||
| High- | Frequency in | Frequency in | ||||||
| Chromo- | Physical | Allele | Allele | Risk | Glaucoma | Non-Patient | ||
| dBSNP ID | some | Location | Exon, Intron | 1 | 2 | Allele | Patient Group | Group |
| rs9398995 | 6 | 132,181,896 | ENPP1 Intron1 (NM_006208.1) | A | G | A | 0.56 | 0.52 |
| rs1441354 | 15 | 69,517,251 | FLJ13710 β290691 bp (NM_024817.1) | A | T | T | 0.27 | 0.27 |
| rs1012728 | 3 | 21,319,300 | FLJ22419 Intron4 (NM_024697.1) | A | C | C | 0.48 | 0.43 |
| rs3922704 | 3 | 112,983,875 | FLJ31579 Intron3 (NM_153268.1) | C | G | G | 0.88 | 0.83 |
| rs1382851 | 12 | 25,689,829 | FLJ36004 β92384 bp (NM_152590.1) | A | C | C | 0.57 | 0.53 |
| rs4144951 | 15 | 51,643,802 | FLJ38736 Intron17 (NM_182758.1) | A | G | A | 0.14 | 0.11 |
| rs11750584 | 5 | 41,129,616 | FLJ40243 β22454 bp (NM_173489.2) | C | G | C | 0.20 | 0.16 |
| rs9300981 | 13 | 104,440,279 | G30 +469126 bp (XM_498445) | A | C | C | 0.64 | 0.59 |
| rs9640055 | 7 | 7,802,756 | GLCCI1 Intron1 (XM_166529) | A | G | A | 0.82 | 0.79 |
| rs9852677 | 3 | 50,266,621 | GNA12 Intron4 (NM_002070.1) | A | G | A | 0.54 | 0.47 |
| rs2236944 | 3 | 50,267,197 | GNA12 Intron4 (NM_002070.1) | A | C | A | 0.52 | 0.46 |
| rs610160 | 11 | 105,202,105 | GR1A4 Intron3 (NM_000829.1) | A | G | G | 0.20 | 0.15 |
| rs9498701 | 6 | 102,336,911 | GRIK2 Intron6 (NM_021956.2), | A | G | A | 0.59 | 0.54 |
| GRIK2 Intron6 (NM_175768.1) | ||||||||
| rs4840196 | 6 | 102,359,320 | GRIK2 Intron8 (NM_021956.2), | A | T | A | 0.59 | 0.54 |
| GRIK2 Intron8 (NM_175768.1) | ||||||||
| rs4840195 | 6 | 102,359,490 | GRIK2 Intron8 (NM_021956.2), | A | G | G | 0.58 | 0.54 |
| GRIK2 Intron8 (NM_175768.1) | ||||||||
| Mantel- | Mantel- | ||||||||
| Haenszel | Haenszel | 95% | Sequence | Sequence | Sequence 1 | Sequence 2 | |||
| Test | Test | Odds | Confidence | Containing | Containing | for Secondary | for Secondary | ||
| dBSNP ID | p-value | Model | Ratio | Interval | Allele 1 | Allele 2 | Analysis Probe | Analysis Probe | |
| rs9398995 | 0.008585 | Recessive | 1.35 | 1.1-1.7 | SEQ ID No: 299 | SEQ ID No: 300 | SEQ ID No: 566 | ||
| rs1441354 | 0.003800 | Recessive | 1.92 | 1.2-3β | SEQ ID No: 301 | SEQ ID No: 302 | SEQ ID No: 567 | SEQ ID No: 679 | |
| rs1012728 | 0.001063 | Dominant | 1.44 | 1.2-1.8 | SEQ ID No: 303 | SEQ ID No: 304 | SEQ ID No: 568 | ||
| rs3922704 | 0.000294 | Allele | 1.46 | 1.2-1.8 | SEQ ID No: 305 | SEQ ID No: 306 | SEQ ID No: 569 | SEQ ID No: 680 | |
| rs1382851 | 0.003765 | Dominant | 1.45 | 1.1-1.9 | SEQ ID No: 307 | SEQ ID No: 308 | SEQ ID No: 570 | ||
| rs4144951 | 0.005496 | Dominant | 1.42 | 1.1-1.8 | SEQ ID No: 309 | SEQ ID No: 310 | SEQ ID No: 571 | ||
| rs11750584 | 0.005023 | Allele | 1.31 | 1.1-1.6 | SEQ ID No: 311 | SEQ ID No: 312 | SEQ ID No: 572 | SEQ ID No: 681 | |
| rs9300981 | 0.005027 | Dominant | 1.50 | 1.1-2β | SEQ ID No: 313 | SEQ ID No: 314 | SEQ ID No: 573 | ||
| rs9640055 | 0.003780 | Allele | 1.30 | 1.1-1.6 | SEQ ID No: 315 | SEQ ID No: 316 | SEQ ID No: 574 | ||
| rs9852677 | 0.000278 | Allele | 1.30 | 1.1-1.5 | SEQ ID No: 317 | SEQ ID No: 318 | SEQ ID No: 575 | ||
| rs2236944 | 0.000383 | Dominant | 1.51 | 1.2-1.9 | SEQ ID No: 319 | SEQ ID No: 320 | SEQ ID No: 576 | ||
| rs610160 | 0.002530 | Allele | 1.34 | 1.1-1.6 | SEQ ID No: 321 | SEQ ID No: 322 | SEQ ID No: 577 | ||
| rs9498701 | 0.000935 | Recessive | 1.45 | 1.2-1.8 | SEQ ID No: 323 | SEQ ID No: 324 | SEQ ID No: 578 | ||
| rs4840196 | 0.001162 | Recessive | 1.44 | 1.2-1.8 | SEQ ID No: 325 | SEQ ID No: 326 | SEQ ID No: 579 | SEQ ID No: 682 | |
| rs4840195 | 0.001597 | Recessive | 1.43 | 1.1-1.8 | SEQ ID No: 327 | SEQ ID No: 328 | SEQ ID No: 580 | ||
| TABLE 56 | ||||||||
| High-Risk | High-Risk | |||||||
| Allele | Allele | |||||||
| High- | Frequency in | Frequency in | ||||||
| Chromo- | Physical | Allele | Allele | Risk | Glaucoma | Non-Patient | ||
| dBSNP ID | some | Location | Exon, Intron | 1 | 2 | Allele | Patient Group | Group |
| rs9322609 | 6 | 102,357,540 | GRIK2 Intron8 (NM_021956.2), | A | G | G | 0.58 | 0.54 |
| GRIK2 Intron8 (NM_175768.1) | ||||||||
| rs2764236 | 6 | 102,389,150 | GRIK2 Intron9 (NM_021956.2), | A | G | A | 0.59 | 0.54 |
| GRIK2 Intron9 (NM_175768.1) | ||||||||
| rs779701 | 3 | 7,493,772 | GRM7 Intron7 (NM_181875.1), | A | G | G | 0.33 | 0.28 |
| GRM7 Intron7 (NM_000844.2), | ||||||||
| GRM7 Intron7 (NM_181874.1) | ||||||||
| rs4430902 | 2 | 189,010,443 | GULP1 Intron1 (NM_016315.1) | A | G | A | 0.84 | 0.82 |
| rs10271531 | 7 | 80,758,592 | HGF +217504 bp (NM_000601.3) | A | G | A | 0.41 | 0.36 |
| rs4430896 | 2 | 23,246,431 | KBTBD9 β239670 bp (XM_496546) | A | G | A | 0.74 | 0.69 |
| rs17279573 | 4 | 154,937,893 | KIAA0922 +22425 bp (NM_015196.2) | A | G | A | 0.72 | 0.67 |
| rs1206153 | 6 | 97,652,757 | KIAA1900 Intron6 (NM_052904.1) | A | G | A | 0.53 | 0.50 |
| rs4763559 | 12 | 10,622,909 | KLRA1 +10130 bp (NM_006611.1) | C | G | G | 0.75 | 0.70 |
| rs2125094 | 12 | 10,622,012 | KLRA1 +11027 bp (NM_006611.1) | A | G | G | 0.74 | 0.69 |
| rs11056970 | 12 | 16,558,431 | LMO3 +34143 bp (NM_018640.3), | A | C | C | 0.85 | 0.82 |
| LMO3 +34143 bp (NM_001001395.1) | ||||||||
| rs8086430 | 18 | 20,600,317 | LOC147468 +250079 bp (XM_091809) | A | G | G | 0.27 | 0.23 |
| rs7910849 | 10 | 31,144,546 | LOC220929 +29028 bp (NM_182755.1) | A | G | A | 0.73 | 0.68 |
| rs1462840 | 3 | 118,345,185 | LOC285194 +426618 bp (XM_379207) | A | G | G | 0.62 | 0.56 |
| rs7612549 | 3 | 34,789,105 | LOC285307 +209732 bp (XM_211837) | A | C | C | 0.42 | 0.39 |
| Mantel- | Mantel- | ||||||||
| Haenszel | Haenszel | 95% | Sequence | Sequence | Sequence 1 | Sequence 2 | |||
| Test | Test | Odds | Confidence | Containing | Containing | for Secondary | for Secondary | ||
| dBSNP ID | p-value | Model | Ratio | Interval | Allele 1 | Allele 2 | Analysis Probe | Analysis Probe | |
| rs9322609 | 0.001827 | Recessive | 1.42 | 1.1-1.8 | SEQ ID No: 329 | SEQ ID No: 330 | SEQ ID No: 581 | ||
| rs2764236 | 0.001904 | Recessive | 1.42 | 1.1-1.8 | SEQ ID No: 331 | SEQ ID No: 332 | SEQ ID No: 582 | ||
| rs779701 | 0.002130 | Allele | 1.28 | 1.1-1.5 | SEQ ID No: 333 | SEQ ID No: 334 | SEQ ID No: 583 | ||
| rs4430902 | 0.009243 | Recessive | 1.33 | 1.1-1.7 | SEQ ID No: 335 | SEQ ID No: 336 | SEQ ID No: 584 | ||
| rs10271531 | 0.004906 | Allele | 1.23 | 1.1-1.4 | SEQ ID No: 337 | SEQ ID No: 338 | SEQ ID No: 585 | ||
| rs4430896 | 0.008596 | Allele | 1.24 | 1.1-1.4 | SEQ ID No: 339 | SEQ ID No: 340 | SEQ ID No: 586 | ||
| rs17279573 | 0.000685 | Allele | 1.31 | 1.1-1.5 | SEQ ID No: 341 | SEQ ID No: 342 | SEQ ID No: 587 | ||
| rs1206153 | 0.001009 | Recessive | 1.47 | 1.2-1.9 | SEQ ID No: 343 | SEQ ID No: 344 | SEQ ID No: 588 | ||
| rs4763559 | 0.000624 | Allele | 1.32 | 1.1-1.5 | SEQ ID No: 345 | SEQ ID No: 346 | SEQ ID No: 589 | SEQ ID No: 683 | |
| rs2125094 | 0.001004 | Allele | 1.30 | 1.1-1.5 | SEQ ID No: 347 | SEQ ID No: 348 | SEQ ID No: 590 | ||
| rs11056970 | 0.002381 | Dominant | 2.07 | 1.3-3.3 | SEQ ID No: 349 | SEQ ID No: 350 | SEQ ID No: 591 | ||
| rs8086430 | 0.006316 | Allele | 1.26 | 1.1-1.5 | SEQ ID No: 351 | SEQ ID No: 352 | SEQ ID No: 592 | ||
| rs7910849 | 0.000272 | Recessive | 1.46 | 1.2-1.8 | SEQ ID No: 353 | SEQ ID No: 354 | SEQ ID No: 593 | ||
| rs1462840 | 0.000975 | Dominant | 1.57 | 1.2-2.1 | SEQ ID No: 355 | SEQ ID No: 356 | SEQ ID No: 594 | ||
| rs7612549 | 0.005641 | Recessive | 1.49 | 1.1-2β | SEQ ID No: 357 | SEQ ID No: 358 | SEQ ID No: 595 | ||
| TABLE 57 | ||||||||
| High-Risk | High-Risk | |||||||
| Allele | Allele | |||||||
| High- | Frequency in | Frequency in | ||||||
| Chromo- | Physical | Allele | Allele | Risk | Glaucoma | Non-Patient | ||
| dBSNP ID | some | Location | Exon, Intron | 1 | 2 | Allele | Patient Group | Group |
| rs6550308 | 3 | 34,911,573 | LOC285307 +332200 bp (XM_211837) | A | G | G | 0.46 | 0.40 |
| rs10517578 | 4 | 155,005,757 | LOC285533 Intron4 (NM_173662.1) | A | G | G | 0.74 | 0.69 |
| rs6468360 | 8 | 29,863,536 | LOC286135 β35034 bp (XM_379573) | C | G | C | 0.55 | 0.52 |
| rs2040073 | 1 | 38,498,317 | LOC339442 β148785 bp (XM_378855) | A | G | A | 0.35 | 0.30 |
| rs6431929 | 2 | 8,255,994 | LOC339789 +41877 bp (NM_207358.1) | A | G | G | 0.69 | 0.66 |
| rs10488110 | 7 | 9,827,710 | LOC340268 Intron1 (XM_294634) | A | G | G | 0.11 | 0.07 |
| rs411102 | 9 | 99,196,524 | LOC347265 +48076 bp (XM_294590) | A | G | A | 0.14 | 0.10 |
| rs782394 | 10 | 130,349,442 | LOC387721 β251645 bp (XM_370585) | A | T | A | 0.53 | 0.49 |
| rs10430126 | 1 | 47,934,070 | LOC388630 +22072 bp (XM_371250) | A | C | C | 0.63 | 0.58 |
| rs4668312 | 2 | 171,432,334 | LOC389059 β20365 bp (XM_374017) | A | G | A | 0.73 | 0.68 |
| rs6433243 | 2 | 171,431,002 | LOC389059 β21697 bp (XM_374017) | A | G | G | 0.73 | 0.68 |
| rs10184230 | 2 | 171,427,641 | LOC389059 β25058 bp (XM_374017) | A | G | A | 0.73 | 0.68 |
| rs6746374 | 2 | 171,445,013 | LOC389059 β7686 bp (XM_374017) | A | G | A | 0.73 | 0.68 |
| rs10492680 | 13 | 39,702,836 | LOC400123 β23647 bp (XM_378411) | A | G | A | 0.93 | 0.89 |
| rs10228514 | 7 | 35,237,035 | LOC401324 +47709 bp (XM_379484) | A | C | A | 0.82 | 0.79 |
| Mantel- | Mantel- | ||||||||
| Haenszel | Haenszel | 95% | Sequence | Sequence | Sequence 1 | Sequence 2 | |||
| Test | Test | Odds | Confidence | Containing | Containing | for Secondary | for Secondary | ||
| dBSNP ID | p-value | Model | Ratio | Interval | Allele 1 | Allele 2 | Analysis Probe | Analysis Probe | |
| rs6550308 | 0.000835 | Dominant | 1.44 | 1.2-1.8 | SEQ ID No: 359 | SEQ ID No: 360 | SEQ ID No: 596 | ||
| rs10517578 | 0.002228 | Allele | 1.28 | 1.1-1.5 | SEQ ID No: 361 | SEQ ID No: 362 | SEQ ID No: 597 | ||
| rs6468360 | 0.003998 | Recessive | 1.39 | 1.1-1.7 | SEQ ID No: 363 | SEQ ID No: 364 | SEQ ID No: 598 | SEQ ID No: 684 | |
| rs2040073 | 0.001364 | Dominant | 1.39 | 1.1-1.7 | SEQ ID No: 365 | SEQ ID No: 366 | SEQ ID No: 599 | ||
| rs6431929 | 0.004709 | Dominant | 1.59 | 1.2-2.2 | SEQ ID No: 367 | SEQ ID No: 368 | SEQ ID No: 600 | ||
| rs10488110 | 0.000465 | Allele | 1.59 | 1.2-2.1 | SEQ ID No: 369 | SEQ ID No: 370 | SEQ ID No: 601 | ||
| rs411102 | 0.000158 | Dominant | 1.60 | 1.3-2.1 | SEQ ID No: 371 | SEQ ID No: 372 | SEQ ID No: 602 | ||
| rs782394 | 0.001769 | Recessive | 1.46 | 1.2-1.8 | SEQ ID No: 373 | SEQ ID No: 374 | SEQ ID No: 603 | SEQ ID No: 685 | |
| rs10430126 | 0.001484 | Recessive | 1.41 | 1.1-1.7 | SEQ ID No: 375 | SEQ ID No: 376 | SEQ ID No: 604 | ||
| rs4668312 | 0.001698 | Allele | 1.28 | 1.1-1.5 | SEQ ID No: 377 | SEQ ID No: 378 | SEQ ID No: 605 | ||
| rs6433243 | 0.001306 | Allele | 1.29 | 1.1-1.5 | SEQ ID No: 379 | SEQ ID No: 380 | SEQ ID No: 606 | ||
| rs10184230 | 0.001306 | Allele | 1.29 | 1.1-1.5 | SEQ ID No: 381 | SEQ ID No: 382 | SEQ ID No: 607 | ||
| rs6746374 | 0.001303 | Allele | 1.29 | 1.1-1.5 | SEQ ID No: 383 | SEQ ID No: 384 | SEQ ID No: 608 | ||
| rs10492680 | 0.000655 | Allele | 1.55 | 1.2-2β | SEQ ID No: 385 | SEQ ID No: 386 | SEQ ID No: 609 | ||
| rs10228514 | 0.009024 | Recessive | 1.33 | 1.1-1.6 | SEQ ID No: 387 | SEQ ID No: 388 | SEQ ID No: 610 | ||
| TABLE 58 | ||||||||
| High-Risk | High-Risk | |||||||
| Allele | Allele | |||||||
| High- | Frequency in | Frequency in | ||||||
| Chromo- | Physical | Allele | Allele | Risk | Glaucoma | Non-Patient | ||
| dBSNP ID | some | Location | Exon, Intron | 1 | 2 | Allele | Patient Group | Group |
| rs17157033 | 10 | 44,613,470 | LOC439960 β30545 bp (XM_498478) | A | C | A | 0.96 | 0.93 |
| rs4307718 | 11 | 23,320,437 | LOC440033 +175532 bp (XM_498512) | A | C | C | 0.95 | 0.93 |
| rs6550783 | 3 | 23,719,090 | LOC440947 β8191 bp (XM_496633) | A | G | A | 0.68 | 0.63 |
| rs16891164 | 4 | 14,590,288 | LOC441009 +88767 bp (XM_498965) | A | T | T | 0.95 | 0.93 |
| rs339858 | 18 | 20,466,188 | LOC441816 β124776 bp (XM_497584) | A | G | A | 0.15 | 0.11 |
| rs17187933 | 11 | 20,556,033 | LOC441816 β214621 bp (XM_497584) | A | G | G | 0.25 | 0.20 |
| rs11876045 | 18 | 20,564,102 | LOC441816 β222690 bp (XM_497584) | C | G | C | 0.26 | 0.22 |
| rs17260163 | 18 | 20,592,187 | LOC441816 β250775 bp (XM_497584) | A | G | G | 0.27 | 0.23 |
| rs2004243 | 8 | 143,815,988 | LOC51337 +641 bp (NM_016647.1) | A | G | A | 0.43 | 0.37 |
| rs1990702 | 2 | 169,802,022 | LRP2 +8346 bp (NM_004525.1) | A | G | A | 0.69 | 0.64 |
| rs16883860 | 6 | 36,110,440 | MAPK14 Intron1 (NM_139013.1), | A | G | A | 0.92 | 0.89 |
| MAPK14 Intron1 (NM_001315.1), | ||||||||
| MAPK14 Intron1 (NM_139012.1), | ||||||||
| MAPK14 Intron1 (NM_139014.1) | ||||||||
| rs7761118 | 6 | 36,176,281 | MAPK14 Intron9 (NM_139013.1), | A | G | G | 0.92 | 0.89 |
| MAPK14 Intron9 (NM_001315.1), | ||||||||
| MAPK14 Intron9 (NM_139012.1), | ||||||||
| MAPK14 Intron9 (NM_139014.1) | ||||||||
| rs2359112 | 1 | 34,548,776 | MGC15882 +194951 bp (NM_032884.2) | A | G | A | 0.33 | 0.31 |
| rs16904092 | 8 | 130,571,112 | MGC27434 Intron1 (NM_145050.2) | A | G | A | 0.90 | 0.88 |
| rs10764881 | 10 | 131,153,821 | MGMT β70674 bp (NM_002412.1) | A | G | G | 0.69 | 0.64 |
| Mantel- | Mantel- | ||||||||
| Haenszel | Haenszel | 95% | Sequence | Sequence | Sequence 1 | Sequence 2 | |||
| Test | Test | Odds | Confidence | Containing | Containing | for Secondary | for Secondary | ||
| dBSNP ID | p-value | Model | Ratio | Interval | Allele 1 | Allele 2 | Analysis Probe | Analysis Probe | |
| rs171157033 | 0.004744 | Recessive | 1.61 | 1.2-2.2 | SEQ ID No: 389 | SEQ ID No: 390 | SEQ ID No: 611 | ||
| rs4307718 | 0.009971 | Allele | 1.51 | 1.1-2.1 | SEQ ID No: 391 | SEQ ID No: 392 | SEQ ID No: 612 | ||
| rs6550783 | 0.003108 | Allele | 1.25 | 1.1-1.5 | SEQ ID No: 393 | SEQ ID No: 394 | SEQ ID No: 613 | ||
| rs16891164 | 0.003660 | Allele | 1.56 | 1.2-2.1 | SEQ ID No: 395 | SEQ ID No: 396 | SEQ ID No: 614 | SEQ ID No: 686 | |
| rs339858 | 0.007997 | Allele | 1.34 | 1.1-1.7 | SEQ ID No: 397 | SEQ ID No: 398 | SEQ ID No: 615 | ||
| rs17187933 | 0.002141 | Dominant | 1.39 | 1.1-1.7 | SEQ ID No: 399 | SEQ ID No: 400 | SEQ ID No: 616 | ||
| rs11876045 | 0.003407 | Dominant | 1.36 | 1.1-1.7 | SEQ ID No: 401 | SEQ ID No: 402 | SEQ ID No: 617 | SEQ ID No: 687 | |
| rs17260163 | 0.406099 | Allele | 1.26 | 1.1-1.5 | SEQ ID No: 403 | SEQ ID No: 404 | SEQ ID No: 618 | ||
| rs2004243 | 0.001099 | Allele | 1.27 | 1.1-1.5 | SEQ ID No: 405 | SEQ ID No: 406 | SEQ ID No: 619 | ||
| rs1990702 | 0.004527 | Allele | 1.24 | 1.1-1.4 | SEQ ID No: 407 | SEQ ID No: 408 | SEQ ID No: 620 | ||
| rs16883860 | 0.002150 | Allele | 1.46 | 1.1-1.9 | SEQ ID No: 409 | SEQ ID No: 410 | SEQ ID No: 621 | ||
| rs7761118 | 0.004398 | Allele | 1.42 | 1.1-1.8 | SEQ ID No: 411 | SEQ ID No: 412 | SEQ ID No: 622 | ||
| rs2359112 | 0.004022 | Recessive | 1.74 | 1.2-2.5 | SEQ ID No: 413 | SEQ ID No: 414 | SEQ ID No: 623 | ||
| rs16904092 | 0.007732 | Recessive | 1.41 | 1.1-1.8 | SEQ ID No: 415 | SEQ ID No: 416 | SEQ ID No: 624 | ||
| rs10764881 | 0.001557 | Dominant | 1.78 | 1.2-2.5 | SEQ ID No: 417 | SEQ ID No: 418 | SEQ ID No: 625 | ||
| TABLE 59 | ||||||||
| High-Risk | High-Risk | |||||||
| Allele | Allele | |||||||
| High- | Frequency in | Frequency in | ||||||
| Chromo- | Physical | Allele | Allele | Risk | Glaucoma | Non-Patient | ||
| dBSNP ID | some | Location | Exon, Intron | 1 | 2 | Allele | Patient Group | Group |
| rs11016249 | 10 | 130,138,328 | MK167 β323870 bp (NM_002417.2) | A | G | G | 0.68 | 0.64 |
| rs2857648 | 22 | 28,391,122 | NF2 Intron10 (NM_181825.1), | C | G | G | 0.71 | 0.67 |
| NF2 Intron8 (NM_181831.1), | ||||||||
| NF2 Intron10 (NM_000268.2), | ||||||||
| NF2 Intron10 (NM_016418.4), | ||||||||
| NF2 Intron11 (NM_181826.1), | ||||||||
| NF2 Intron10 (NM_181827.1), | ||||||||
| NF2 Intron9 (NM_181828.1), | ||||||||
| NF2 Intron9 (NM_181829.1), | ||||||||
| NF2 Intron8 (NM_181830.1), | ||||||||
| NF2 Intron10 (NM_181832.1), | ||||||||
| NF2 Intron4 (NM_181833.1), | ||||||||
| NF2 Intron5 (NM_181834.1), | ||||||||
| NF2 Intron8 (NM_181835.1) | ||||||||
| rs17808998 | 17 | 8,919,071 | NTN1 Intron2 (NM_004822.1) | A | G | G | 0.62 | 0.58 |
| rs2072133 | 12 | 111,871,980 | OAS3 Exon16 (NM_006187.2) | A | G | A | 0.66 | 0.61 |
| rs4666488 | 2 | 19,608,777 | ODD β128777 bp (NM_145260.1) | A | G | A | 0.38 | 0.33 |
| rs10798882 | 1 | 31,777,640 | PEF Intron1 (NM_012392.1) | C | G | G | 0.85 | 0.81 |
| rs17754672 | 2 | 64,312,259 | PELJ1 β61125 bp (NM_020651.2) | A | G | A | 0.22 | 0.18 |
| rs10116231 | 9 | 78,151,153 | PSAT1 Intron5 (NM_021154.3), | A | G | G | 0.76 | 0.71 |
| PSAT1 Intron5 (NM_058179.2) | ||||||||
| rs2236913 | 1 | 223,380,860 | PSEN2 Intron5 (NM_000447.1), | A | G | G | 0.37 | 0.34 |
| PSEN2 Intron5 (NM_012486.1) | ||||||||
| rs7574012 | 2 | 37,638,881 | QPCT +126765 bp (NM_012413.2) | A | G | G | 0.41 | 0.36 |
| Mantel- | Mantel- | |||||||
| Haenszel | Haenszel | 95% | Sequence | Sequence | Sequence 1 | Sequence 2 | ||
| Test | Test | Odds | Confidence | Containing | Containing | for Secondary | for Secondary | |
| dBSNP ID | p-value | Model | Ratio | Interval | Allele 1 | Allele 2 | Analysis Probe | Analysis Probe |
| rs11016249 | 0.008687 | Allele | 1.22 | 1.1-1.4 | SEQ ID No: 419 | SEQ ID No: 420 | SEQ ID No: 626 | |
| rs2857648 | 0.006985 | Recessive | 1.32 | 1.1-1.6 | SEQ ID No: 421 | SEQ ID No: 422 | SEQ ID No: 627 | SEQ ID No: 688 |
| rs17808998 | 0.008779 | Recessive | 1.33 | 1.1-1.6 | SEQ ID No: 423 | SEQ ID No: 424 | SEQ ID No: 628 | |
| rs2072133 | 0.003090 | Allele | 1.25 | 1.1-1.4 | SEQ ID No: 425 | SEQ ID No: 426 | SEQ ID No: 629 | |
| rs4666488 | 0.000309 | Dominant | 1.46 | 1.2-1.8 | SEQ ID No: 427 | SEQ ID No: 428 | SEQ ID No: 630 | |
| rs10798882 | 0.001679 | Allele | 1.36 | 1.1-1.6 | SEQ ID No: 429 | SEQ ID No: 430 | SEQ ID No: 631 | SEQ ID No: 689 |
| rs17754672 | 0.006631 | Recessive | 2.36 | 1.3-4.4 | SEQ ID No: 431 | SEQ ID No: 432 | SEQ ID No: 632 | |
| rs10116231 | 0.003816 | Allele | 1.27 | 1.1-1.5 | SEQ ID No: 433 | SEQ ID No: 434 | SEQ ID No: 633 | |
| rs2236913 | 0.009042 | Dominant | 1.32 | 1.1-1.6 | SEQ ID No: 435 | SEQ ID No: 436 | SEQ ID No: 634 | |
| rs7574012 | 0.001545 | Recessive | 1.59 | 1.2-2.1 | SEQ ID No: 437 | SEQ ID No: 438 | SEQ ID No: 635 | |
| TABLE 60 | ||||||||
| High-Risk | High-Risk | |||||||
| Allele | Allele | |||||||
| High- | Frequency in | Frequency in | ||||||
| Chromo- | Physical | Allele | Allele | Risk | Glaucoma | Non-Patient | ||
| dBSNP ID | some | Location | Exon, Intron | 1 | 2 | Allele | Patient Group | Group |
| rs6724538 | 2 | 37,639,669 | QPCT +127553 bp (NM_012413.2) | A | C | A | 0.41 | 0.35 |
| rs7584987 | 2 | 37,641,805 | QCPT +129689 bp (NM_012413.2) | A | G | G | 0.44 | 0.39 |
| rs1877823 | 17 | 60,657,405 | RGS9 +3136 bp (NM_003835.1) | A | G | A | 0.77 | 0.74 |
| rs9896245 | 17 | 60,604,218 | RGS9 β11066 bp (NM_003835.1) | A | G | A | 0.74 | 0.71 |
| rs1877821 | 17 | 60,605,875 | RGS9 β9409 bp (NM_003835.1) | A | G | G | 0.74 | 0.72 |
| rs16865980 | 2 | 7,255,254 | RNF144 +120346 bp (NM_014746.2) | A | G | A | 0.25 | 0.21 |
| rs9788983 | 17 | 129,457 | RPH3AL Intron6 (NM_006987.2) | A | G | A | 0.88 | 0.84 |
| rs17115925 | 14 | 81,341,217 | SEL1L β271331 bp (NM_005065.3) | A | T | T | 0.73 | 0.70 |
| rs1571379 | 14 | 81,359,690 | SEL1L β289804 bp (NM_005065.3) | A | G | A | 0.73 | 0.67 |
| rs12632110 | 3 | 50,199,229 | SEMA3F Intron18 (NM_004186.2) | A | G | A | 0.52 | 0.47 |
| rs1951626 | 1 | 170,623,758 | SERPINC1 β5704 bp (NM_000488.1) | A | G | A | 0.36 | 0.31 |
| rs2044757 | 3 | 155,352,950 | SGEF Intron5 (NM_015595.2) | A | G | G | 0.64 | 0.61 |
| rs33954719 | 3 | 155,359,077 | SGEF Intron6 (NM_015595.2) | A | G | A | 0.64 | 0.61 |
| rs3761960 | 6 | 36,101,884 | SLC26A8 β1529 bp (NM_052961.2), | A | G | A | 0.92 | 0.89 |
| SLC26A8 β1636 bp (NM_138718.1) | ||||||||
| rs1606405 | 13 | 82,684,518 | SLITRK1 +664827 bp (NM_052910.1) | A | G | A | 0.54 | 0.50 |
| Mantel- | Mantel- | ||||||||
| Haenszel | Haenszel | 95% | Sequence | Sequence | Sequence 1 | Sequence 2 | |||
| Test | Test | Odds | Confidence | Containing | Containing | for Secondary | for Secondary | ||
| dBSNP ID | p-value | Model | Ratio | Interval | Allele 1 | Allele 2 | Analysis Probe | Analysis Probe | |
| rs6724538 | 0.000321 | Recessive | 1.69 | 1.3-2.2 | SEQ ID No: 439 | SEQ ID No: 440 | SEQ ID No: 636 | ||
| rs7584987 | 0.000572 | Recessive | 1.60 | 1.2-2.1 | SEQ ID No: 441 | SEQ ID No: 442 | SEQ ID No: 637 | ||
| rs1877823 | 0.001810 | Dominant | 1.98 | 1.3-3β | SEQ ID No: 443 | SEQ ID No: 444 | SEQ ID No: 638 | ||
| rs9896245 | 0.000141 | Dominant | 2.19 | 1.5-3.3 | SEQ ID No: 445 | SEQ ID No: 446 | SEQ ID No: 639 | ||
| rs1877821 | 0.000419 | Dominant | 2.10 | 1.4-3.2 | SEQ ID No: 447 | SEQ ID No: 448 | SEQ ID No: 640 | ||
| rs16865980 | 0.000687 | Dominant | 1.43 | 1.2-1.8 | SEQ ID No: 449 | SEQ ID No: 450 | SEQ ID No: 641 | ||
| rs9788983 | 0.000691 | Allele | 1.42 | 1.2-1.7 | SEQ ID No: 451 | SEQ ID No: 452 | SEQ ID No: 642 | ||
| rs17115925 | 0.009837 | Allele | 1.23 | 1.1-1.4 | SEQ ID No: 453 | SEQ ID No: 454 | SEQ ID No: 643 | SEQ ID No: 690 | |
| rs1571379 | 0.000529 | Allele | 1.32 | 1.1-1.5 | SEQ ID No: 455 | SEQ ID No: 456 | SEQ ID No: 644 | ||
| rs12632110 | 0.000586 | Dominant | 1.50 | 1.2-1.9 | SEQ ID No: 457 | SEQ ID No: 458 | SEQ ID No: 645 | ||
| rs1951626 | 0.009171 | Allele | 1.22 | 1.1-1.4 | SEQ ID No: 459 | SEQ ID No: 460 | SEQ ID No: 646 | ||
| rs2044757 | 0.001153 | Dominant | 1.61 | 1.2-2.1 | SEQ ID No: 461 | SEQ ID No: 462 | SEQ ID No: 647 | ||
| rs33954719 | 0.001078 | Dominant | 1.61 | 1.2-2.2 | SEQ ID No: 463 | SEQ ID No: 464 | SEQ ID No: 648 | ||
| rs3761960 | 0.002750 | Allele | 1.44 | 1.1-1.8 | SEQ ID No: 465 | SEQ ID No: 466 | SEQ ID No: 649 | ||
| rs1606405 | 0.002823 | Recessive | 1.42 | 1.1-1.8 | SEQ ID No: 467 | SEQ ID No: 468 | SEQ ID No: 650 | ||
| TABLE 61 | ||||||||
| High-Risk | High-Risk | |||||||
| Allele | Allele | |||||||
| High- | Frequency in | Frequency in | ||||||
| Chromo- | Physical | Allele | Allele | Risk | Glaucoma | Non-Patient | ||
| dBSNP ID | some | Location | Exon, Intron | 1 | 2 | Allele | Patient Group | Group |
| rs2356232 | 2 | 171,412,281 | SP5 +12276 bp (XM_371581) | A | G | A | 0.73 | 0.68 |
| rs7608898 | 2 | 171,423,724 | SP5 +23719 bp (XM_371581) | A | G | A | 0.73 | 0.68 |
| rs10930437 | 2 | 171,406,848 | SP5 +6843 bp (XM_371581) | A | G | A | 0.73 | 0.68 |
| rs4667649 | 2 | 171,408,395 | SP5 +8390 bp (XM_371581) | A | G | A | 0.73 | 0.68 |
| rs2049723 | 11 | 13,922,920 | SPON1 β17894 bp (NM_006108.1) | A | G | A | 0.74 | 0.69 |
| rs2268794 | 2 | 31,691,055 | SRD5A2 Intron1 (NM_000348.2) | A | T | A | 0.19 | 0.15 |
| rs1106845 | 14 | 35,931,107 | STELLAR +19768 bp (XM_375075) | A | T | T | 0.10 | 0.07 |
| rs2966712 | 7 | 142,683,960 | TAS2R41 β7843 bp (NM_176883.1) | A | G | A | 0.11 | 0.07 |
| rs1658456 | 10 | 59,974,332 | TFAM +148429 bp (NM_003201.1), | A | G | G | 0.58 | 0.53 |
| TFAM +158914 bp (NM_012251.1) | ||||||||
| rs1649060 | 10 | 59,980,486 | TFAM +154583 bp (NM_003201.1), | C | G | C | 0.58 | 0.53 |
| TFAM +165068 bp (NM_012251.1) | ||||||||
| rs1649048 | 10 | 59,994,288 | TFAM +168385 bp (NM_003201.1), | A | G | G | 0.58 | 0.53 |
| TFAM +178870 bp (NM_012251.l) | ||||||||
| rs1658438 | 10 | 59,996,589 | TFAM +170686 bp (NM_003201.1), | A | G | G | 0.58 | 0.52 |
| TFAM +181171 bp (NM_012251.1) | ||||||||
| rs1649039 | 10 | 60,000,047 | TFAM +174144 bp (NM_003201.1), | A | G | G | 0.57 | 0.52 |
| TFAM +184629 bp (NM_012251.1) | ||||||||
| rs10763558 | 10 | 60,011,940 | TFAM +186037 bp (NM_003201.1), | A | C | C | 0.57 | 0.52 |
| TFAM +196522 bp (NM_012251.1) | ||||||||
| rs11727442 | 4 | 154,943,527 | TLR2 β23144 bp (NM_003264.2) | A | G | G | 0.69 | 0.64 |
| Mantel- | Mantel- | |||||||
| Haenszel | Haenszel | 95% | Sequence | Sequence | Sequence 1 | Sequence 2 | ||
| Test | Test | Odds | Confidence | Containing | Containing | for Secondary | for Secondary | |
| dBSNP ID | p-value | Model | Ratio | Interval | Allele 1 | Allele 2 | Analysis Probe | Analysis Probe |
| rs2356232 | 0.001522 | Allele | 1.29 | 1.1-1.5 | SEQ ID No: 469 | SEQ ID No: 470 | SEQ ID No: 651 | |
| rs7608898 | 0.001306 | Allele | 1.29 | 1.1-1.5 | SEQ ID No: 471 | SEQ ID No: 472 | SEQ ID No: 652 | |
| rs10930437 | 0.001587 | Allele | 1.29 | 1.1-1.5 | SEQ ID No: 473 | SEQ ID No: 474 | SEQ ID No: 653 | |
| rs4667649 | 0.001662 | Allele | 1.28 | 1.1-1.5 | SEQ ID No: 475 | SEQ ID No: 476 | SEQ ID No: 654 | |
| rs2049723 | 0.002649 | Allele | 1.27 | 1.1-1.5 | SEQ ID No: 477 | SEQ ID No: 478 | SEQ ID No: 655 | |
| rs2268794 | 0.006152 | Allele | 1.31 | 1.1-1.6 | SEQ ID No: 479 | SEQ ID No: 480 | SEQ ID No: 656 | SEQ ID No: 691 |
| rs1106845 | 0.006141 | Allele | 1.45 | 1.1-1.9 | SEQ ID No: 481 | SEQ ID No: 482 | SEQ ID No: 657 | SEQ ID No: 692 |
| rs2966712 | 0.000304 | Dominant | 1.66 | 1.3-2.2 | SEQ ID No: 483 | SEQ ID No: 484 | SEQ ID No: 658 | |
| rs1658456 | 0.006414 | Allele | 1.22 | 1.1-1.4 | SEQ ID No: 485 | SEQ ID No: 486 | SEQ ID No: 659 | |
| rs1649060 | 0.006414 | Allele | 1.22 | 1.1-1.4 | SEQ ID No: 487 | SEQ ID No: 488 | SEQ ID No: 660 | SEQ ID No: 693 |
| rs1649048 | 0.006480 | Allele | 1.22 | 1.1-1.4 | SEQ ID No: 489 | SEQ ID No: 490 | SEQ ID No: 661 | |
| rs1658438 | 0.006270 | Allele | 1.22 | 1.1-1.4 | SEQ ID No: 491 | SEQ ID No: 492 | SEQ ID No: 662 | |
| rs1649039 | 0.007438 | Allele | 1.22 | 1.1-1.4 | SEQ ID No: 493 | SEQ ID No: 494 | SEQ ID No: 663 | |
| rs10763558 | 0.008997 | Allele | 1.21 | β1-1.4 | SEQ ID No: 495 | SEQ ID No: 496 | SEQ ID No: 664 | |
| rs11727442 | 0.000624 | Recessive | 1.43 | 1.2-1.8 | SEQ ID No: 497 | SEQ ID No: 498 | SEQ ID No: 665 | |
| TABLE 62 | ||||||||
| High-Risk | High-Risk | |||||||
| Allele | Allele | |||||||
| High- | Frequency in | Frequency in | ||||||
| Chromo- | Physical | Allele | Allele | Risk | Glaucoma | Non-Patient | ||
| dBSNP ID | some | Location | Exon, Intron | 1 | 2 | Allele | Patient Group | Group |
| rs3804100 | 4 | 154,983,014 | TLR2 Exon2 (NM_003264.2) | A | C | A | 0.73 | 0.68 |
| rs1028534 | 10 | 51,898,627 | TMEM23 Intron3 (NM_147156.3) | A | C | C | 0.63 | 0.60 |
| rs1210065 | 10 | 51,882,795 | TMEM23 Intron5 (NM_147156.3) | A | G | A | 0.40 | 0.35 |
| rs17473451 | 8 | 15,368,500 | TUSC3 β73601 bp (NM_006765.2), | C | G | C | 0.76 | 0.72 |
| TUSC3 β73601 bp (NM_178234.1) | ||||||||
| rs6829490 | 4 | 47,908,795 | TXK +894 bp (NM_003328.1) | A | G | G | 0.54 | 0.49 |
| rs500629 | 11 | 113,550,770 | ZBTB16 Intron3 (NM_006006.3) | A | C | C | 0.28 | 0.23 |
| rs2864107 | 19 | 56,760,839 | ZNF175 β5504 bp (NM_007147.2) | A | G | A | 0.21 | 0.17 |
| rs3755827 | 3 | 62,335,411 | ZNF312 β1350 bp (NM_018008.2) | A | G | A | 0.79 | 0.74 |
| Mantel- | Mantel- | |||||||
| Haenszel | Haenszel | 95% | Sequence | Sequence | Sequence 1 | Sequence 2 | ||
| Test | Test | Odds | Confidence | Containing | Containing | for Secondary | Seco forndary | |
| dBSNP ID | p-value | Model | Ratio | Interval | Allele 1 | Allele 2 | Analysis Probe | Analysis Probe |
| rs3804100 | 0.003499 | Allele | 1.26 | 1.1-1.5 | SEQ ID No: 499 | SEQ ID No: 500 | SEQ ID No: 666 | |
| rs1028534 | 0.005678 | Dominant | 1.48 | 1.1-2β | SEQ ID No: 501 | SEQ ID No: 502 | SEQ ID No: 667 | |
| rs1210065 | 0.001850 | Dominant | 1.39 | 1.1-1.7 | SEQ ID No: 503 | SEQ ID No: 504 | SEQ ID No: 668 | |
| rs17473451 | 0.003504 | Recessive | 1.35 | 1.1-1.7 | SEQ ID No: 505 | SEQ ID No: 506 | SEQ ID No: 669 | SEQ ID No: 694 |
| rs6829490 | 0.009776 | Dominant | 1.37 | 1.1-1.7 | SEQ ID No: 507 | SEQ ID No: 508 | SEQ ID No: 670 | |
| rs500629 | 0.001621 | Dominant | 1.39 | 1.1-1.7 | SEQ ID No: 509 | SEQ ID No: 510 | SEQ ID No: 671 | |
| rs2864107 | 0.000428 | Dominant | 1.47 | 1.2-1.8 | SEQ ID No: 511 | SEQ ID No: 512 | SEQ ID No: 672 | |
| rs3755827 | 0.004467 | Allele | 1.28 | 1.1-1.5 | SEQ ID No: 513 | SEQ ID No: 514 | SEQ ID No: 673 | |
The single nucleotide polymorphisms listed in Tables 53 to 62 can be also used as a marker for predicting an onset risk of glaucoma in the same manner.
Next, regions and/or genes of the surrounding of single nucleotide polymorphism listed in Table 52 were determined by making reference to the database provided by the HapMap project. In detail, regions in which the single nucleotide polymorphism considered to be in a linkage disequilibrium with the single nucleotide polymorphisms listed in Table 52 exists were determined, on the basis of the linkage disequilibrium data in combination of the Japanese and the Chinese in the HapMap project.
Also, in a case where the single nucleotide polymorphism listed in Table 52 exists in the linkage disequilibrium region containing genes, the physical location of the region and the gene name were determined. On the other hand, in a case where the single nucleotide polymorphism listed in Table 52 exists in the linkage disequilibrium region without containing the genes, only the physical location of the region was determined. In addition, in a case where the single nucleotide polymorphism listed in Table 52 exists on one gene beyond the linkage disequilibrium region, the gene name and the physical location of the gene were determined.
A single nucleotide polymorphism of which p-value is the lowest for each region is considered to be a single nucleotide polymorphism representing the region, and Tables 63 to 70 list a single nucleotide polymorphism representing the region, the chromosome number at which the region exists, the physical location of the region (start point and end point) and the gene name contained in the region.
| TABLE 63 | ||||
| Representative Single | ||||
| Nucleotide | ||||
| Polymorphism | ||||
| in the Region | ||||
| (Single Nucleotide | Chro- | |||
| Polymorphism with | mo- | Start | End | Genes in |
| Lowest p-value) | some | Location | Location | the Region |
| rs10798882 | 1 | 31,707,055 | 31,838,861 | COL16A1 |
| LCN7 | ||||
| HCRTR1 | ||||
| PEF1 | ||||
| rs2359112 | 1 | 34,477,408 | 34,552,678 | β |
| rs2040073 | 1 | 38,408,125 | 38,527,689 | β |
| rs10430126 | 1 | 47,930,338 | 48,198,192 | β |
| rs1951626 | 1 | 170,033,793 | 171,848,859 | TNN |
| MRPS14 | ||||
| CACYBP | ||||
| RABGAP1L | ||||
| RC3H1 | ||||
| SERPINC1 | ||||
| ZBTB37 | ||||
| DARS2 | ||||
| CENPL | ||||
| KLHL20 | ||||
| ANKRD45 | ||||
| SLC9A11 | ||||
| PRDX6 | ||||
| rs2236913 | 1 | 223,126,127 | 223,405,511 | ITPKB |
| PSEN2 | ||||
| rs693421 | 1 | 234,339,548 | 234,432,433 | ZP4 |
| rs1892116 | 1 | 243,319,348 | 243,497,348 | ZNF695 |
| ELYS | ||||
| AHCTF1 | ||||
| rs16865980 | 2 | 7,200,812 | 7,280,358 | β |
| rs6431929 | 2 | 8,187,182 | 8,419,147 | LOC339789 |
| rs4666488 | 2 | 19,472,875 | 19,608,452 | OSR1 |
| rs4430896 | 2 | 23,145,684 | 23,366,310 | β |
| TABLE 64 | ||||
| Representative | ||||
| Single Nucleotide | ||||
| Polymorphism | ||||
| in the Region | ||||
| (Single Nucleotide | Chro- | |||
| Polymorphism with | mo- | End | Genes in | |
| Lowest p-value) | some | Start Location | Location | the Region |
| rs2268794 | 2 | 31,468,839 | 33,038,731 | XDH |
| SRD5A2 | ||||
| MEMO1 | ||||
| DPY30 | ||||
| SPAST | ||||
| SLC30A6 | ||||
| NLRC4 | ||||
| YIPF4 | ||||
| BIRC6 | ||||
| TTC27 | ||||
| rs6724538 | 2 | 37,588,322 | 37,740,529 | β |
| rs17754672 | 2 | 62,704,890 | 64,419,622 | EHBP1 |
| OTX1 | ||||
| LOC51057 | ||||
| MDH1 | ||||
| UGP2 | ||||
| VPS54 | ||||
| PELI1 | ||||
| rs12611812 | 2 | 124,499,094 | 125,389,091 | CNTNAP5 |
| rs7559118 | 2 | 133,263,104 | 134,159,763 | NAP5 |
| FLJ34870 | ||||
| rs1990702 | 2 | 169,796,465 | 170,044,629 | LRP2 |
| rs6746374 | 2 | 171,322,396 | 171,550,925 | AK127400 |
| GAD1 | ||||
| SP5 | ||||
| LOC440925 | ||||
| rs4430902 | 2 | 188,685,976 | 189,579,329 | GULP1 |
| DIRC1 | ||||
| rs779701 | 3 | 6,877,927 | 7,758,217 | GRM7 |
| rs1012728 | 3 | 21,437,673 | 21,767,820 | ZNF385D |
| rs6550783 | 3 | 23,654,468 | 23,750,569 | β |
| TABLE 65 | ||||
| Representative | ||||
| Single Nucleotide | ||||
| Polymorphism | ||||
| in the Region | ||||
| (Single Nucleotide | Chro- | |||
| Polymorphism with | mo- | End | Genes in | |
| Lowest p-value) | some | Start Location | Location | the Region |
| rs6550308 | 3 | 34,785,788 | 35,165,798 | β |
| rs2233476 | 3 | 49,686,439 | 51,799,207 | APEH |
| MST1 | ||||
| RNF123 | ||||
| AMIGO3 | ||||
| GMPPB | ||||
| IHPK1 | ||||
| LOC389118 | ||||
| C3orf54 | ||||
| UBA7 | ||||
| TRAIP | ||||
| CAMKV | ||||
| MST1R | ||||
| MON1A | ||||
| RBM6 | ||||
| RBM5 | ||||
| SEMA3F | ||||
| GNAT1 | ||||
| SLC38A3 | ||||
| GNAI2 | ||||
| SEMA3B | ||||
| IFRD2 | ||||
| NAT6 | ||||
| C3orf45 | ||||
| HYAL3 | ||||
| HYAL1 | ||||
| HYAL2 | ||||
| TUSC2 | ||||
| RASSF1 | ||||
| ZMYND10 | ||||
| TUSC4 | ||||
| CYB561D2 | ||||
| TMEM115 | ||||
| CACNA2D2 | ||||
| C3orf18 | ||||
| HEMK1 | ||||
| CISH | ||||
| MAPKAPK3 | ||||
| DOCK3 | ||||
| ARMET | ||||
| REM15B | ||||
| VPRBP | ||||
| RAD54L2 | ||||
| TEX264 | ||||
| GRM2 | ||||
| TABLE 66 | ||||
| Representative | ||||
| Single Nucleotide | ||||
| Polymorphism | ||||
| in the Region | ||||
| (Single | ||||
| Nucleotide | ||||
| Polymorphism | Chro- | |||
| with | mo- | Start | End | Genes in |
| Lowest p-value) | some | Location | Location | the Region |
| rs3755827 | 3 | 62,280,436 | 62,836,094 | C3orf14 |
| CADPS | ||||
| ZNF312 | ||||
| rs9881866 | 3 | 106,122,067 | 106,319,409 | β |
| rs3922704 | 3 | 112,876,213 | 113,177,795 | PLCXD2 |
| CR749654 | ||||
| AY358772 | ||||
| rs1462840 | 3 | 118,332,596 | 118,498,089 | β |
| rs33954719 | 3 | 155,198,039 | 155,457,039 | SGEF |
| rs16891164 | 4 | 14,149,949 | 14,598,571 | BC036758 |
| rs6829490 | 4 | 47,436,948 | 48,813,871 | CORIN |
| NFXL1 | ||||
| CNGA1 | ||||
| NPAL1 | ||||
| TXK | ||||
| TEC | ||||
| SLAIN2 | ||||
| ZAR1 | ||||
| FRYL | ||||
| OCIAD1 | ||||
| OCIAD2 | ||||
| rs10517556 | 4 | 62,191,605 | 63,083,785 | LPHN3 |
| rs11737784 | 4 | 83,907,869 | 84,368,310 | SCD5 |
| SEC31A | ||||
| THAP9 | ||||
| LIN54 | ||||
| COPS4 | ||||
| rs13110551 | 4 | 140,152,121 | 140,188,487 | β |
| rs11727442 | 4 | 154,745,157 | 155,130,602 | KIAA0922 |
| TLR2 | ||||
| RNF175 | ||||
| SFRP2 | ||||
| rs7676755 | 4 | 187,346,286 | 187,611,026 | TLR3 |
| DKFZP564J102 | ||||
| CYP4V2 | ||||
| KLKB1 | ||||
| F11 | ||||
| TABLE 67 | ||||
| Representative | ||||
| Single Nucleotide | ||||
| Polymorphism | ||||
| in the Region | ||||
| (Single | ||||
| Nucleotide | ||||
| Polymorphism | Chro- | |||
| with | mo- | Start | End | Genes in |
| Lowest p-value) | some | Location | Location | the Region |
| rs429419 | 5 | 33,563,046 | 33,927,881 | ADAMTS12 |
| rs6451268 | 5 | 36,139,171 | 36,337,761 | DKFZp434H2226 |
| SKP2 | ||||
| FLJ30596 | ||||
| FLJ25422 | ||||
| rs11750584 | 5 | 41,033,879 | 41,298,707 | FLJ40243 |
| C6 | ||||
| rs9358578 | 6 | 22,707,365 | 22,854,322 | LOC389370 |
| rs16883860 | 6 | 36,015,011 | 36,252,339 | SLC26A8 |
| MAPK14 | ||||
| MAPK13 | ||||
| rs1206153 | 6 | 97,479,326 | 97,864,503 | KIAA1900 |
| C6orf167 | ||||
| rs9498701 | 6 | 101,953,626 | 102,624,651 | GRIK2 |
| rs9398995 | 6 | 132,000,135 | 132,286,336 | ENPP3 |
| ENPP1 | ||||
| rs9640055 | 7 | 7,772,656 | 8,075,425 | ICA1 |
| GLCCI1 | ||||
| rs10488110 | 7 | 9,768,215 | 9,875,870 | β |
| rs12700287 | 7 | 21,338,075 | 21,714,695 | DNAH11 |
| rs10228514 | 7 | 35,169,289 | 35,359,069 | β |
| rs10271531 | 7 | 80,612,379 | 80,941,240 | β |
| rs2966712 | 7 | 142,596,643 | 142,732,627 | ZYX |
| EPHA1 | ||||
| TAS2R60 | ||||
| TAS2R41 | ||||
| rs17473451 | 8 | 15,324,913 | 15,422,271 | β |
| rs6468360 | 8 | 29,800,821 | 29,866,436 | β |
| rs16935718 | 8 | 69,986,592 | 70,338,390 | ratara. bAug05 |
| swakoy.aAug05 | ||||
| LOC389667 | ||||
| rs16904092 | 8 | 130,556,102 | 130,700,866 | β |
| TABLE 68 | ||||
| Representative | ||||
| Single Nucleotide | ||||
| Polymorphism | ||||
| in the Region | ||||
| (Single Nucleotide | Chro- | |||
| Polymorphism with | mo- | End | Genes in | |
| Lowest p-value) | some | Start Location | Location | the Region |
| rs2004243 | 8 | 143,716,339 | 143,900,127 | JRK |
| PSCA | ||||
| LY6K | ||||
| C8orf55 | ||||
| SLURP1 | ||||
| LYNX1 | ||||
| LYPD2 | ||||
| LY6D | ||||
| rs1342022 | 9 | 72,743,457 | 72,939,880 | ALDH1A1 |
| rs10116231 | 9 | 78,136,500 | 78,174,561 | PSAT1 |
| rs411102 | 9 | 99,100,781 | 99,364,219 | β |
| rs7850541 | 9 | 132,883,652 | 133,218,347 | GFI1B |
| CR615294 | ||||
| GTF3C5 | ||||
| CEL | ||||
| CELP | ||||
| RALGDS | ||||
| GBGT1 | ||||
| OBP2B | ||||
| ABO | ||||
| rs2387658 | 10 | 1,218,073 | 1,769,718 | ADARB2 |
| rs7081455 | 10 | 20,662,930 | 20,719,326 | β |
| rs7910849 | 10 | 31,072,503 | 31,165,996 | β |
| rs17157033 | 10 | 44,456,300 | 44,698,295 | β |
| rs1210065 | 10 | 51,696,167 | 52,116,588 | TMEM23 |
| AK056520 | ||||
| rs1658438 | 10 | 59,803,487 | 60,258,851 | BICC1 |
| TFAM | ||||
| rs7902091 | 10 | 67,349,937 | 69,125,933 | CTNNA3 |
| rs11016249 | 10 | 129,959,024 | 130,173,385 | β |
| rs782394 | 10 | 130,233,084 | 130,350,260 | β |
| rs10764881 | 10 | 131,138,138 | 131,455,356 | MGMT |
| rs2049723 | 11 | 13,850,243 | 14,246,222 | SPON1 |
| rs4307718 | 11 | 23,202,964 | 23,481,112 | β |
| TABLE 69 | ||||
| Representative | ||||
| Single Nucleotide | ||||
| Polymorphism | ||||
| in the Region | ||||
| (Single Nucleotide | Chro- | |||
| Polymorphism with | mo- | End | Genes in | |
| Lowest p-value) | some | Start Location | Location | the Region |
| rs493622 | 11 | 89,679,112 | 90,004,712 | β |
| rs610160 | 11 | 104,896,113 | 105,358,029 | GRIA4 |
| rs500629 | 11 | 113,435,641 | 113,626,604 | ZBTB16 |
| rs4763559 | 12 | 10,539,469 | 10,726,280 | KLRA1 |
| FLJ10292 | ||||
| STYK1 | ||||
| rs11056970 | 12 | 16,468,226 | 16,587,335 | β |
| rs1382851 | 12 | 25,669,680 | 25,892,423 | β |
| rs7961953 | 12 | 81,537,331 | 82,030,531 | TMTC2 |
| rs2072133 | 12 | 111,807,459 | 111,912,247 | OAS1 |
| OAS2 | ||||
| OAS3 | ||||
| rs10492680 | 13 | 39,608,046 | 39,760,155 | β |
| rs1606405 | 13 | 82,325,708 | 82,739,954 | BC016673 |
| rs9300981 | 13 | 104,391,167 | 104,481,207 | β |
| rs1106845 | 14 | 35,808,124 | 35,947,704 | MBIP |
| rs1571379 | 14 | 81,213,431 | 81,378,859 | β |
| rs10130333 | 14 | 88,692,269 | 89,155,247 | CHES1 |
| rs2816632 | 14 | 104,746,671 | 104,838,374 | BRF1 |
| BTBD6 | ||||
| rs4144951 | 15 | 51,558,394 | 51,892,014 | WDR72 |
| rs1441354 | 15 | 69,220,842 | 69,862,776 | THSD4 |
| rs10902569 | 15 | 98,329,166 | 98,699,706 | ADAMTS17 |
| rs9788983 | 17 | 62,294 | 271,176 | RPH3AL |
| LOC400566 | ||||
| rs17808998 | 17 | 8,845,288 | 9,088,042 | NTN1 |
| rs9896245 | 17 | 60,532,473 | 60,654,283 | RGS9 |
| rs1877823 | 17 | 60,564,011 | 60,680,796 | RGS9 |
| rs16940484 | 18 | 19,826,735 | 20,231,788 | C18orf17 |
| OSBPL1A | ||||
| CABYR | ||||
| rs17187933 | 18 | 20,389,931 | 20,699,770 | β |
| TABLE 70 | ||||
| Representative | ||||
| Single Nucleotide | ||||
| Polymorphism | ||||
| in the Region | ||||
| (Single Nucleotide | Chro- | |||
| Polymorphism with | mo- | End | Genes in | |
| Lowest p-value) | some | Start Location | Location | the Region |
| rs3862680 | 18 | 48,050,184 | 49,311,780 | DCC |
| rs2864107 | 19 | 56,686,425 | 56,784,802 | SIGLEC12 |
| ZNF175 | ||||
| SIGLEC6 | ||||
| rs6115865 | 20 | 3,156,064 | 3,351,824 | SLC4A11 |
| C20orf194 | ||||
| rs6097745 | 20 | 51,935,413 | 52,170,007 | BCAS1 |
| rs2857648 | 22 | 28,153,305 | 28,436,178 | RFPL1 |
| NEFH | ||||
| THOC5 | ||||
| NIPSNAP1 | ||||
| NF2 | ||||
| rs4823324 | 22 | 44,219,256 | 44,580,747 | FBLN1 |
| ATXN10 | ||||
The region listed in Tables 63 to 70 is a region or gene considered to be linked with a single nucleotide polymorphism associated with the onset of glaucoma in the present invention listed in Tables 53 to 62, and a single nucleotide polymorphism which exists in these regions or genes is considered to be linked with a single nucleotide polymorphism in the present invention. In other words, any single nucleotide polymorphisms which exist in these regions are linked with the single nucleotide polymorphism which exists in the region listed in Tables 53 to 62, and any of these single nucleotide polymorphisms can be used in the prediction of an onset risk of glaucoma in the same manner.
In the present invention, by combining any two or more single nucleotide polymorphisms determined to be involved in the onset of glaucoma, an extent to which the precision of the prediction of a risk of a disease improves is examined with logistic regression analysis, as compared to that where each of the single nucleotide polymorphisms is used alone. In the present analysis, any combinations of the single nucleotide polymorphisms determined to be significantly associated with the onset of glaucoma by statistically comparing allele or genotype frequencies can be used. In one example, 17 single nucleotide polymorphisms that showed a significant difference under the Bonferroni correction were subjected to the logistic regression analysis.
Out of 17 single nucleotide polymorphisms that had a significance under the Bonferroni correction, single nucleotide polymorphisms for use in the logistic regression analysis were further narrowed down according to a stepwise method. The value of 0.01 was adopted as criteria of variable incorporation and variable exclusion in the stepwise method. Upon the application of a stepwise method, a single nucleotide polymorphism belonging to the same LD block (ones having the same description in the column of linkage disequilibrium in Table 52) is represented by any one of single nucleotide polymorphisms belonging to each of the LD blocks, and it is set so that any one of the single nucleotide polymorphisms is to be a subject to be incorporated. Each of the narrowed-down single nucleotide polymorphisms is defined as an independent variable(Ξ ) (homozygote of one allele=0, heterozygote=1, homozygote of opposite allele=2), and each regression coefficient (Ξ») can be determined according to the logistic regression analysis, and the following formula (18) was obtained.
Ξ¦=1/{1+exp[β(Ξ»0+Ξ»1Ξ 1+Ξ»2Ξ 2+Ξ»3Ξ 3+ . . . )]}ββformula (18)
Next, in each sample, a value for risk prediction (Ξ¦) was calculated by substituting a variable for each single nucleotide polymorphisms into this formula. When Ξ¦ is greater than 0.5, this sample donor was determined to be with an onset risk. A concordance rate was calculated by comparing the determination results with the matter of whether the sample donor having a single nucleotide polymorphism was actually a glaucoma patient. Further, the concordance rate was determined as mentioned above for each of the incorporated single nucleotide polymorphisms alone, and all the combinations of any two or more single nucleotide polymorphisms, and means and standard deviations of the concordance rate were obtained for each of the number of single nucleotide polymorphisms used in combination. Table 71 lists the number of single nucleotide polymorphisms, alone or in a combination of arbitrary number, the number of combinations when arbitrary number of single nucleotide polymorphism is combined, and the relationship between the mean and the standard deviation of the concordance rate. Here, all the calculations were performed using SAS 9.1.3, Windows (registered trademark) Edition, SAS Institute Japan Corporation.
As listed in Table 71, according to a stepwise method, out of the 17 single nucleotide polymorphisms, assuming that a pair of single nucleotide polymorphisms belonging to the same LD block were each counted as one, all ten single nucleotide polymorphisms were selected (rs7081455, rs693421, rs9358578, rs7961953, rs16935718, rsl 1123034, rs13110551, rs7559118, rs10517556, and rs6451268). A value for risk prediction (Ξ¦) of individual cases was calculated using a logistic regression formula, alone or in a combination of any two or more of these 10 single nucleotide polymorphisms. When a cut-off value for a value for risk prediction is defined as 0.5, meanΒ±standard deviation of the concordance rate was 54.7Β±1.4% in a case that each of the single nucleotide polymorphisms was used alone. This concordance rate was elevated as an increase in the number of single nucleotide polymorphisms used in combination, and reached the maximum of 59.9% in a case that all the ten were combined.
| TABLE 71 | |||
| The Number of | The Number of | Concordance Rate | |
| SNP | Combination | (Mean Value) | Standard Deviation |
| 1 | 10 | 54.7 | 1.4 |
| 2 | 45 | 55.7 | 1.1 |
| 3 | 120 | 56.3 | 1.0 |
| 4 | 210 | 57.0 | 1.0 |
| 5 | 252 | 57.5 | 1.0 |
| 6 | 210 | 58.0 | 1.0 |
| 7 | 120 | 58.4 | 1.0 |
| 8 | 45 | 58.8 | 1.0 |
| 9 | 10 | 59.1 | 0.9 |
| 10 | 1 | 59.9 | β |
As described above, it was evident that in the determination of an onset risk of glaucoma by a single nucleotide polymorphism, an excellent concordance rate can be obtained even in a case that each of the single nucleotide polymorphisms are used alone, and the diagnostic precision can be further enhanced by combining these single nucleotide polymorphisms.
As described above, an individual who has an allele or a genotype that is identified in a high frequency in the glaucoma patients disclosed in the present invention on the genome has a high onset risk of glaucoma in future, and an individual who does not have an allele or a genotype that is identified in a high frequency in the glaucoma patients has a low onset risk of glaucoma in future.
According to the method of the present invention, the level of an onset risk of glaucoma of a sample donor can be determined by analyzing an allele or a genotype of a single nucleotide polymorphism in the present invention in a sample. A sample donor can take a preventive measure of glaucoma, or can receive appropriate treatments, on the basis of this risk. In addition, it is useful because, a sample donor who has an allele or a genotype that is identified in a high frequency in the glaucoma patients of a single nucleotide polymorphism in the present invention on the genome can be given a precision examination in whether or not the donor is with an early glaucoma which is difficult to be determined sufficiently by an intraocular pressure or an ocular fundus photograph, and can be started with a treatment at an early stage in a case where the donor is diagnosed as glaucoma.
1. A method of determining the presence or the absence of a glaucoma risk, comprising:
A. detecting in vitro an allele and/or a genotype of a single nucleotide polymorphism which is located on a 31st base of a base sequence, in a sample from a subject, wherein the base sequence is at least one base sequence selected from the group consisting of SEQ ID NO: 275 and SEQ ID NO: 276 or a complementary sequence thereto, and
B. comparing the allele and/or the genotype detected in with at least one of an allele and/or a genotype, comprising a high-risk allele, in SEQ ID NO: 275 and SEQ ID NO: 276,
wherein the presence of a glaucoma risk is determined in a case where the allele detected in A is the high-risk allele, or
wherein the presence of a glaucoma risk is determined in a case where the genotype detected in A is a homozygote of the genotype comprising the high-risk allele or a heterozygote when the high-risk allele complies with a dominant genetic model, or
wherein the presence of a glaucoma risk is determined in a case where the genotype detected in A is a homozygote of the genotype comprising the high-risk allele when the high-risk allele complies with a recessive genetic model.
2. The method according to claim 1, wherein the glaucoma risk is an onset risk of glaucoma.
3. The method according to claim 2, wherein the base sequence is SEQ ID NO: 275.
4. The method according to claim 3, wherein the comparison in B further comprises selecting and combining any two or more alleles and/or genotypes, comprising the high-risk allele, in the base sequences shown in SEQ ID NOs: 203 to 238,
wherein the presence of a glaucoma risk is determined in a case where the allele detected in A is any one of the alleles selected for the comparison in B, or
wherein the presence of a glaucoma risk is determined in a case where the genotype detected in A is a homozygote or a heterozygote of any one of the genotypes selected for the comparison in B when the high-risk allele complies with a dominant genetic model, or
wherein the presence of a glaucoma risk is determined in a case where the genotype detected in A is a homozygote of any one of the genotypes selected for the comparison in B when the high-risk allele complies with a recessive genetic model.
5. The method according to claim 4, wherein the comparison in B further comprises selecting and combining all the alleles and/or the genotypes, comprising the high-risk allele, in the base sequences shown in SEQ ID NOs: 203 to 238,
wherein the presence of a glaucoma risk is determined in a case where the allele detected in A is any one of the alleles selected for the comparison in B, or
wherein the presence of a glaucoma risk is determined in a case where the genotype detected in A is a homozygote or a heterozygote of any one of the genotypes selected for the comparison in the B when the high-risk allele complies with a dominant genetic model, or
wherein the presence of a glaucoma risk is determined in a case where the genotype detected in A is a homozygote of any one of the genotypes selected for the comparison in B when the high-risk allele complies with a recessive genetic model.
6. The method according to claim 2, further comprising predicting the level of the onset risk.
7. The method according to claim 1, wherein the glaucoma is primary open-angle glaucoma (POAG) or normal tension glaucoma (NTG).
8-27. (canceled)
28. A method of determining the presence or the absence of a glaucoma risk, comprising:
(i): extracting a nucleic acid molecule from a sample from a subject,
(ii): detecting an allele of a single nucleotide polymorphism which is located on a 31st base of a base sequence, wherein the base sequence is at least one base sequence selected from the group consisting of SEQ ID NO: 275 and SEQ ID NO: 276 or a complementary sequence thereto, for the nucleic acid molecule extracted in (i), and
(iii): determining the presence or the absence of a glaucoma risk, based on the allele detected in (ii).
29. The method according to claim 28, wherein (iii) comprises determining a genotype, based on the allele detected in (ii).
30. The method according to claim 28, wherein (iii) comprises the step of determining whether or not the allele detected in (ii) is a high-risk allele.
31. The method according to claim 30, wherein (iii) comprises the step of determining that the glaucoma risk is high in a case where the allele detected in (ii) is the high-risk allele.
32-34. (canceled)
35. The method according to claim 2, wherein the base sequence is SEQ ID NO: 276.
36. The method according to claim 28, wherein the base sequence is SEQ ID NO: 275.
37. The method according to claim 28, wherein the base sequence is SEQ ID NO: 276.