Patent application title:

PROTEIN C POLYMORPHISMS USEFUL AS AN INDICATOR OF PATIENT OUTCOME

Publication number:

US20110020825A1

Publication date:
Application number:

12/895,295

Filed date:

2010-09-30

Abstract:

The invention provides methods and kits for obtaining a prognosis for a patient having or at risk of developing an inflammatory condition. The method generally comprises determining a protein C promoter genotype of a patient for a polymorphism in the protein C promoter region of the patient, comparing the determined genotype with known genotypes for the polymorphism that correspond with the ability of the patient to recover from the inflammatory condition and identifying patients based on their prognosis. The invention also provides for methods of identifying other polymorphisms that correspond with the ability of the patient to recover from the inflammatory condition.

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Classification:

C12Q1/6883 »  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

C12Q2600/118 »  CPC further

Oligonucleotides characterized by their use Prognosis of disease development

C12Q2600/156 »  CPC further

Oligonucleotides characterized by their use Polymorphic or mutational markers

C12Q1/68 IPC

Measuring or testing processes involving enzymes, nucleic acids or microorganisms ; Compositions therefor; Processes of preparing such compositions involving nucleic acids

Description

RELATED APPLICATION DATA

This application claims priority to relates to U.S. provisional application No. 60/383,128 filed May 28, 2002, which is incorporated herein by reference.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The field of the invention relates to the assessment or treatment of patients with an inflammatory condition.

2. Description of the Background Art

Protein C, when activated to form activated protein C (APC), plays a major role in three biological processes or conditions: coagulation, fibrinolysis and inflammation. Acute inflammatory states decrease levels of the free form of protein S, which decreases APC function because free protein S is an important co-factor for APC. Sepsis, acute inflammation and cytokines decrease thrombomodulin expression on endothelial cells resulting in decreased APC activity or levels. Septic shock also increases circulating levels of thrombomodulin, which is related to increased cleavage of endothelial cell thrombomodulin. Another mechanism for decreased APC function in sepsis is that endotoxin and cytokines, such as TNF-α, down-regulate endothelial cell protein C receptor (EPCR) expression, thereby decreasing action of APC. Severe septic states such as meningococcemia, also result in protein C consumption. Depressed protein C levels correlate with purpura, digital infarction and death in meningococcemia.

Protein C is altered in non-septic patients following cardiopulmonary bypass (CPB). Total protein C, APC and protein S decrease during CPB. Following aortic unclamping (reperfusion at the end of CPB) protein C is further activated so that the proportion of remaining non-activated protein C is greatly decreased. A decrease of protein C during and after CPB increases the risk of thrombosis, disseminated intravascular coagulation (DIC), organ ischemia and inflammation intra- and post-operatively. Patients who have less activated protein C generally have impaired recovery of cardiac function, consistent with the idea that lower levels of protein C increase the risk of microvascular thrombosis and myocardial ischemia. Aprotinin is a competitive inhibitor of APC, and is sometimes used in cardiac surgery and CPB. Aprotinin has been implicated as a cause of post-operative thrombotic complications after deep hypothermic circulatory arrest.

Septic and non-septic stimuli such as bacterial endotoxin and cardiopulmonary bypass (CPB), activate the coagulation system and trigger a systemic inflammatory response syndrome (SIRS). A decrease in protein C levels have been shown in patients with septic shock (Griffin J H. et al. (1982) Blood 60:261-264; Taylor F B. et al. (1987) J. Clin. Invest. 79:918-925; Hesselvik J F. et al. (1991) Thromb. Haemost. 65:126-129; Fijnvandraat K. et al. (1995) Thromb. Haemost. 73(1):15-20), with severe infection (Hesselvik J F. et al. (1991) Thromb. Haemost. 65:126-129) and after major surgery (Blamey S L. et al. (1985) Thromb. Haemost. 54:622-625). It has been suggested that this decrease is caused by a decrease in protein C transcription (Spek C A. et al. J. Biol. Chem. (1995) 270(41):24216-21; at pg 24221). It has also been demonstrated that endothelial pathways required for protein C activation are impaired in severe menigococcal sepsis (Faust S N. et al. New Eng. J. Med. (2001) 345:408-416). Low protein C levels in sepsis patients are related to poor prognosis (Yan S B. and Dhainaut J-F. Crit. Care Med (2001) 29(7):S69-s74; Fisher C J. and Yan S B. Crit. Care Med (2000) 28(9 Suppl):S49-S56; Vervloet M G. et al. Semin Thromb Hemost. (1998) 24(1):33-44; Lorente J A. et al. Chest (1993) 103(5):1536-42). Recombinant human activated protein C reduces mortality in patients having severe sepsis or septic shock (Bernard G R. et al. New Eng. J. Med. (2001) 344:699-709). Thus protein C appears to play an important beneficial role in the systemic inflammatory response syndrome.

The human protein C gene maps to chromosome 2q13-q14 and extends over 11 kb. A representative Homo sapiens protein C gene sequence is listed in GenBank under accession number AF378903. Three single nucleotide polymorphisms (SNPs) have been identified in the 5′ untranslated promoter region of the protein C gene and are characterized as āˆ’1654 C/T, āˆ’1641 A/G and āˆ’1476 A/T (according to the numbering scheme of Foster D C. et al. Proc Natl Acad Sci USA (1985) 82(14):4673-4677), or as āˆ’153C/T, āˆ’140A/G and +26A/T respectively by (MILLAR D S. et al. Hum. Genet. (2000) 106:646-653 at 651).

The genotype homozygous for āˆ’1654 C/āˆ’1641 G/āˆ’1476 T has been associated with reduced rates of transcription of the protein C gene as compared to the āˆ’1654 T/āˆ’1641 A/āˆ’1476 A homozygous genotype (Scopes D. et al. Blood Coagul. Fibrinol (1995) 6(4):317-321). Patients homozygous for the āˆ’1654 C/āˆ’1641 G/āˆ’1476 T genotype show a decrease of 22% in plasma protein C levels and protein C activity levels as compared to patients homozygous for the āˆ’1654 T/āˆ’1641 A/āˆ’1476 A genotype (Spek C A. et al. Arterioscler Thromb Vasc Biol (1995) 15:214-218). The āˆ’1654 C/āˆ’1641 G haplotype has been associated with lower protein C concentrations in both homozygotes and heterozygotes as compared to āˆ’1654 T/āˆ’1641 A (Aiach M. et al., Arterioscler Thromb Vasc Biol (1999) 19(6):1573-1576).

SUMMARY OF THE INVENTION

This invention is based in part on the surprising discovery that two of the protein C promoter polymorphisms characterized in the scientific literature as being associated with decreased protein C are associated with improved prognosis or patient outcome, in patients with an inflammatory condition. Further, various protein C polymorphisms are useful for patient screening, as an indication of patient outcome, or for prognosis for recovery from an inflammatory condition.

In accordance with one aspect of the invention, methods are provided for obtaining a prognosis for a patient having or at risk of developing an inflammatory condition, the method comprising determining a genotype including one or more polymorphism sites in the protein C gene for the patient, wherein said genotype is indicative of an ability of the patient to recover from an inflammatory condition.

The polymorphism site may correspond to position 2418 of SEQ ID NO: 1 or a polymorphism site linked thereto. Alternatively, the polymorphism site corresponds to position 2418, 1386, 2583 or 3920 in SEQ ID NO: 1.

Genotype may also be determined at a combination of two or more polymorphism sites, the combination being selected from the group of positions corresponds to SEQ ID NO: 1 consisting of:

5867 and 2405;

5867 and 4919;

5867 and 4956;

5867 and 6187;

5867 and 9534;

5867 and 12109;

4800 and 2405;

4800 and 4919;

4800 and 4956;

4800 and 6187;

4800 and 9534;

4800 and 12109;

9198 and 6379 and 2405;

9198 and 6379 and 4919;

9198 and 6379 and 4956;

9198 and 6379 and 6187;

9198 and 6379 and 9534; and

9198 and 6379 and 12109.

In accordance with another aspect of the invention, methods are provided for further comparing the genotype so determined with known genotypes, which are indicative of a prognosis for recovery from the same inflammatory condition as for the patient or another inflammatory condition.

The genotype of the patient may be indicative of a decreased likelihood of recovery from an inflammatory condition or indicative of a prognosis of severe cardiovascular or respiratory dysfunction in critically ill patients. Furthermore, such a genotype may be selected from the group of single polymorphism sites and combined polymorphism sites consisting of:

1386 T;

2418 A;

2583 A;

3920 T;

5867 A and 2405 T;

5867 A and 4919 A;

5867 A and 4956 T;

5867 A and 6187 C;

5867 A and 9534 T;

5867 A and 12109 T;

4800 G and 2405 T;

4800 G and 4919 A;

4800 G and 4956 T;

4800 G and 6187 C;

4800 G and 9534 T;

4800 G and 12109 T;

9198 A and 6379 G and 2405 T;

9198 A and 6379 G and 4919 A;

9198 A and 6379 G and 4956 T;

9198 A and 6379 G and 6187 C;

9198 A and 6379 G and 9534 T; and

9198 A and 6379 G and 12109 T.

The genotype of the patient may be indicative of an increased likelihood of recovery from an inflammatory condition or indicative of a prognosis of less severe cardiovascular or respiratory dysfunction in critically ill patients. Furthermore, such a genotype may be selected from the group of single polymorphism sites and combined polymorphism sites consisting of:

1386 C;

2418 G;

2583 T;

3920 C;

5867 G and 2405 C;

5867 G and 4919 G;

5867 G and 4956 C;

5867 G and 6187 T;

5867 G and 9534 C;

5867 G and 12109 C;

4800 C and 2405 C;

4800 C and 4919 G;

4800 C and 4956 C;

4800 C and 6187 T;

4800 C and 9534 C; and

4800 C and 12109 C.

In accordance with another aspect of the invention, methods are provided for identifying a polymorphism in a protein C gene sequence that correlates with patient prognosis. Where the method comprises obtaining protein C gene sequence information from a group of patients, identifying a site of at least one polymorphism in the protein C gene, determining genotypes at the site for individual patients in the group, determining an ability of individual patients in the group to recover from the inflammatory condition and

correlating genotypes determined with patient abilities.

The correlation procedure may be repeated on a patient population of sufficient size to achieve a statistically significant correlation.

The methods may further comprise steps of obtaining protein C gene sequence of the patient or obtaining a nucleic acid sample from the patient. The determining of genotype may be performed on a nucleic acid sample from the patient.

Where the genotype of the patient corresponding to the nucleotide in position 2418, is adenine (A), the prognosis may be indicative of a decreased likelihood of recovery from an inflammatory condition or of severe cardiovascular or respiratory dysfunction in critically ill patients.

Where the genotype of the patient corresponding to the nucleotide in position 2418, is guanine (G), the prognosis may be indicative of a increased likelihood of recovery from an inflammatory condition or of less severe cardiovascular or respiratory dysfunction in critically ill patients.

The inflammatory condition may be selected from the group consisting of: sepsis, septicemia, pneumonia, septic shock, systemic inflammatory response syndrome (SIRS), Acute Respiratory Distress Syndrome (ARDS), acute lung injury, infection, pancreatitis, bacteremia, peritonitis, abdominal abscess, inflammation due to trauma, inflammation due to surgery, chronic inflammatory disease, ischemia, ischemia-reperfusion injury of an organ or tissue, tissue damage due to disease, tissue damage due to chemotherapy or radiotherapy, and reactions to ingested, inhaled, infused, injected, or delivered substances.

The determining of a genotype may comprise one or more of: restriction fragment length analysis; sequencing; hybridization; oligonucleotide ligation assay; ligation rolling circle amplification; 5′ nuclease assay; polymerase proofreading methods; allele specific PCR; and reading sequence data.

In accordance with another aspect of the invention, there is provided a kit for determining a genotype at a defined nucleotide position within a polymorphism site in a protein C gene sequence from a patient to provide a prognosis of the patient's ability to recover from an inflammatory condition, the kit comprising, in a package a restriction enzyme capable of distinguishing alternate nucleotides at the polymorphism site or a labeled oligonucleotide having sufficient complementary to the polymorphism site and capable of distinguishing said alternate nucleotides.

The alternate nucleotides may correspond to position 2418 of SEQ ID NO: 1, position 8 of SEQ ID NO: 2 or to a polymorphism linked thereto. The alternate nucleotides may also correspond to one or more of positions 2418, 1386, 2583, and 3920 of SEQ ID NO: 1.

The kit comprising a restriction enzyme may also comprise an oligonucleotide or a set of oligonucleotides suitable to amplify a region surrounding the polymorphism site, a polymerization agent and instructions for using the kit to determine genotype.

In accordance with another aspect of the invention, methods are provided for determining patient prognosis in a patient having or at risk of developing an inflammatory condition, the method comprising detecting the identity of one or more polymorphisms in the protein C promoter region, wherein the identity of said one or more polymorphisms is indicative of the ability of the patient to recover from the inflammatory condition.

In accordance with another aspect of the invention, methods are provided for patient screening, comprising the steps of (a) obtaining protein C gene sequence information from a patient, and (b) determining the identity of one or more polymorphisms in the promoter region, wherein the one or more polymorphisms may be indicative of the ability of a patient to recover from an inflammatory condition.

In accordance with another aspect of the invention methods are provided for patient screening whereby the method includes the steps of (a) selecting a patient based on risk of developing an inflammatory condition or having an inflammatory condition, (b) obtaining protein C gene sequence information from the patient and (c) detecting the identity of one or more polymorphisms in the protein C gene, wherein the polymorphism is indicative of the ability of a patient to recover from an inflammatory condition.

The above sequence positions refer to the sense strand of the protein C gene promoter region. It will be obvious to a person skilled in the art that analysis could be conducted on the anti-sense strand to determine patient outcome.

More severe patient outcome or prognosis may be correlated with higher protein C expression or conversely an indication of less severe patient outcome or prognosis may be correlated with lower protein C expression, which is the opposite of what would be expected.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows a comparison of survival rates for patients in shock with those not in shock by genotype of protein C 2418.

FIG. 2 shows a series of graphs plotting Mean Arterial Pressure (mm Hg) over time before and after cardiopulmonary bypass; Cardiac Index (L/m2) over time before and after cardiopulmonary bypass; Systemic Vascular Resistance Index over time before and after cardiopulmonary bypass; and Vasopressor Use over time before and after cardiopulmonary bypass, with each graph comparing AA homozygotes with AG heterozygotes and GG homozygotes of protein C 2418.

FIG. 3 shows a graph plotting percent Arterial Oxygen Saturation over time before and after cardiopulmonary bypass, comparing AA homozygotes with AG heterozygotes and GG homozygotes of protein C 2418.

DETAILED DESCRIPTION OF THE INVENTION

Definitions

In the description that follows, a number of terms are used extensively, the following definitions are provided to facilitate understanding of the invention.

ā€œGenetic materialā€ includes any nucleic acid and can be a deoxyribonucleotide or ribonucleotide polymer in either single or double-stranded form.

A ā€œpurineā€ is a heterocyclic organic compound containing fused pyrimidine and imidazole rings, and acts as the parent compound for purine bases, adenine (A) and guanine (G). ā€œNucleotidesā€ are generally a purine (R) or pyrimidine (Y) base covalently linked to a pentose, usually ribose or deoxyribose, where the sugar carries one or more phosphate groups. Nucleic acids are generally a polymer of nucleotides joined by 3′ 5′ phosphodiester linkages. As used herein ā€œpurineā€ is used to refer to the purine bases, A and G, and more broadly to include the nucleotide monomers, deoxyadenosine-5′-phosphate and deoxyguanosine-5′-phosphate, as components of a polynucleotide chain.

A ā€œpyrimidineā€ is a single-ringed, organic base that forms nucleotide bases, cytosine (C), thymine (T) and uracil (U). As used herein ā€œpyrimidineā€ is used to refer to the pyrimidine bases, C, T and U, and more broadly to include the pyrimidine nucleotide monomers that along with purine nucleotides are the components of a polynucleotide chain.

A ā€œpolymorphic siteā€ or ā€œpolymorphism siteā€ or ā€œpolymorphismā€ or ā€œsingle nucleotide polymorphism siteā€ (SNP site) as used herein is the locus or position with in a given sequence at which divergence occurs. Preferred polymorphic sites have at least two alleles, each occurring at frequency of greater than 1%, and more preferably greater than 10% or 20% of a selected population. Polymorphism sites may be at known positions within a nucleic acid sequence or may be determined to exist using the methods described herein.

The ā€œpromoterā€ region is 5′ or upstream of the translation start site, in this case the translation start site is located at position 4062 of Table 1A (SEQ. ID NO: 1) and the transcription start site is located at position 2559 of Table 1A (SEQ. ID NO: 1).

Numerous other sites have been identified as polymorphisms in the protein C gene, where those polymorphisms are linked to the polymorphism at position 2418 of SEQ. ID NO: 1 and may therefore be indicative of patient prognosis. The following single polymorphism sites and combined polymorphism sites are linked to 2418 of SEQ ID NO: 1:

1386;

2583;

3920;

5867 and 2405;

5867 and 4919;

5867 and 4956;

5867 and 6187;

5867 and 9534;

5867 and 12109;

4800 and 2405;

4800 and 4919;

4800 and 4956;

4800 and 6187;

4800 and 9534;

4800 and 12109;

9198 and 6379 and 2405;

9198 and 6379 and 4919;

9198 and 6379 and 4956;

9198 and 6379 and 6187;

9198 and 6379 and 9534; and

9198 and 6379 and 12109.

It will be appreciated by a person of skill in the art that further linked single polymorphism sites and combined polymorphism sites could be determined. The haplotype of protein C can be created by assessing the SNP's of protein C in normal subjects using a program that has an expectation maximization algorithm (i.e. PHASE). A constructed haplotype of protein C may be used to find combinations of SNP's that are in total linkage disequilibrium (LD) with 2418. Therefore, the haplotype of an individual could be determined by genotyping other SNP's that are in total LD with 2418. Linked single polymorphism sites or combined polymorphism sites may also be genotyped for assessing patient prognosis.

The following genotypes for single polymorphism sites and combined polymorphism sites may indicative of a decreased likelihood of recovery from an inflammatory condition or indicative of severe cardiovascular or respiratory dysfunction in critically ill patients:

1386 T;

2583 A;

3920 T;

5867 A and 2405 T;

5867 A and 4919 A;

5867 A and 4956 T;

5867 A and 6187 C;

5867 A and 9534 T;

5867 A and 12109 T;

4800 G and 2405 T;

4800 G and 4919 A;

4800 G and 4956 T;

4800 G and 6187 C;

4800 G and 9534 T;

4800 G and 12109 T;

9198 A and 6379 G and 2405 T;

9198 A and 6379 G and 4919 A;

9198 A and 6379 G and 4956 T;

9198 A and 6379 G and 6187 C;

9198 A and 6379 G and 9534 T; and

9198 A and 6379 G and 12109 T.

Whereas the following genotypes for single polymorphism sites and combined polymorphism sites may indicative of a increased likelihood of recovery from an inflammatory condition or indicative of less severe cardiovascular or respiratory dysfunction in critically ill patients:

1386 C;

2583 T;

3920 C;

5867 G and 2405 C;

5867 G and 4919 G;

5867 G and 4956 C;

5867 G and 6187 T;

5867 G and 9534 C;

5867 G and 12109; C

4800 C and 2405 C;

4800 C and 4919 G;

4800 C and 4956 C;

4800 C and 6187 T;

4800 C and 9534 C; and

4800 C and 12109 C.

It will be appreciated by a person of skill in the art, that the numerical designations of the positions of polymorphisms within a sequence are relative to the specific sequence. Also the same positions may be assigned different numerical designations depending on the way in which the sequence is numbered and the sequence chosen, as illustrated by the alternative numbering of equivalent polymorphisms in Foster et al. and Millar et al. above. Furthermore, sequence variations within the population, such as insertions or deletions, may change the relative position and subsequently the numerical designations of particular nucleotides at and around a polymorphism site.

Table 1A below is representative of a Homo sapiens protein C gene sequence and comprises a sequence as listed in GenBank under accession number AF378903. The SNP's described as āˆ’1654 C/T, āˆ’1641 A/G and āˆ’1476 A/T using the numbering system of Foster et al. correspond to 2405, 2418 and 2583 respectively in Table 1A (SEQ ID NO: 1). Polymorphism sites shown below in Table 1A are represented by an upper case N at the apex of an open triangle. The N is used to indicate that variation in genotype is possible at those positions within a population. The 2418 polymorphism is represented by an N which indicates that the nucleotide at that position may be an a, t, u, g or c. However, the genotype at position 2418 is most commonly an a or g (purine) nucleotide.

TABLEā€ƒ1A
1 gctctctaacā€ƒtcacagcgagā€ƒctcgctgcccā€ƒaaagtcctgcā€ƒtccgggggctā€ƒtcctgggtgg
61 acctgaccgcā€ƒgttcgggtgcā€ƒacgtggggcgā€ƒactcacacctā€ƒgacaagtaaaā€ƒgcgggtgagg
121 ccgcgcctgtā€ƒgaagggcgccā€ƒtggctcctccā€ƒgcaggacggtā€ƒgcggcgcggcā€ƒgcccccggct
181 ggaaccaggtā€ƒgtaactgcagā€ƒagaccctgggā€ƒatcgcaggaaā€ƒcggctggcggā€ƒcaggactgtc
241 cctacctcgaā€ƒgaaggtgacgā€ƒgggtttcctgā€ƒcgctgccagcā€ƒcgatgaggcgā€ƒgccgtgacgc
301 agcccgccgtā€ƒgcagagtcccā€ƒcgtcggccgaā€ƒcaggcgtgcaā€ƒgagctctgcaā€ƒgaggaccctt
361 ccgccctctgā€ƒggcagcctgcā€ƒcaagccgtggā€ƒcacccccaacā€ƒccccagcactā€ƒgggcacttgg
421 gagcattgcaā€ƒgccgccctggā€ƒctcgtaccggā€ƒtgccggtgctā€ƒttgggcacctā€ƒgggctggttt
481 ggacatgggtā€ƒgccccgggcaā€ƒgagtccatttā€ƒatgcaggtcaā€ƒgaatcagtgtā€ƒgtggagcctg
541 catagacttgā€ƒccctggagcgā€ƒgctgcctgtgā€ƒctggggtgggā€ƒgaggagtagaā€ƒgggcgagaag
601 ttggtggggaā€ƒagggaagcggā€ƒcgccaaaagaā€ƒatacccacaaā€ƒcatcttgcacā€ƒctggaaggca
661 aagcagagggā€ƒcagtgatctcā€ƒtgcagacttgā€ƒcgggggcgacā€ƒgcctgaagcaā€ƒaacagggaca
721 tacaagctggā€ƒtgccttctgtā€ƒggttgtgcatā€ƒggggtcttcaā€ƒtgcttcctgtā€ƒctgagttccc
781 agaagcttgtā€ƒctctgcttttā€ƒctaggcagctā€ƒgccacagcctā€ƒgtcacaaacaā€ƒgctcctggtt
841 ctccacttctā€ƒcatagtctcgā€ƒatttcaaaatā€ƒccattgcctcā€ƒaccctccaccā€ƒtcctctccac
901 ctccacccctā€ƒcctagcacctā€ƒcctgactgctā€ƒtgtgttctgtā€ƒgtctccccacā€ƒtgtctcccaa
961 cctggggtggā€ƒggttggggggā€ƒgatgtctttcā€ƒctcctgtctgā€ƒctctttgatgā€ƒtccagctgaa
1021 gtgtcacctcā€ƒctacaggcagā€ƒcctcccctggā€ƒctatgccagcā€ƒttgtactgatā€ƒtgccctctcc
1081 tctgaattctā€ƒgtaagcatttā€ƒcctatgtgtaā€ƒcctgcccctgā€ƒggcaaggtggā€ƒgcctgacttg
1141 ttagagtgttā€ƒagagttttacā€ƒcctgttcctcā€ƒtaggagggccā€ƒtggtaccaccā€ƒacagcccagc
1201 atggtgtggtā€ƒgcctcagcagā€ƒgaggcatctgā€ƒgttacaatcaā€ƒacacaagctgā€ƒttccagccaa
1261 tttaaagaaaā€ƒcttcaggaggā€ƒaatagggtttā€ƒtaggagggcaā€ƒtggggaccctā€ƒcctgcacccg
1321 aagccaggatā€ƒgtgccaccaaā€ƒtcataaggagā€ƒgcaggggcctā€ƒccttccgctgā€ƒctccctggga
1381 ctctcNaggtā€ƒgtccgtggccā€ƒtcagccccccā€ƒtctgcacaccā€ƒtgcatcttccā€ƒttctcatcag
1441 cttcctctgcā€ƒtttaagcgtaā€ƒaacatggatgā€ƒcccaggacctā€ƒggcctcaatcā€ƒttccgagtct
1501 ggtacttatgā€ƒgtgtactgacā€ƒagtgtgagacā€ƒcctactcctcā€ƒtgatcaatccā€ƒcctgggttgg
1561 tgacttccctā€ƒgtgcaatcaaā€ƒtggaagccagā€ƒcgaggcagggā€ƒtcacatgcccā€ƒcgtttagagg
1621 tgcagacttgā€ƒgagaaggaacā€ƒgtgggcaagtā€ƒcttcccaggaā€ƒacaggtagggā€ƒcagggaggaa
1681 aggggggcatā€ƒctctggtgcaā€ƒgcccggttcgā€ƒgagcaggaagā€ƒacgcttaataā€ƒaatgctgata
1741 gactgcaggaā€ƒcacaggcaaaā€ƒggtgctgagcā€ƒtggaccctttā€ƒatttctgcccā€ƒttctcccttc
1801 tggcaccccgā€ƒgccaggaaatā€ƒtgctgcagccā€ƒtttctggaatā€ƒcccgttcattā€ƒtttcttactg
1861 gtccacaaaaā€ƒggggccaaatā€ƒggaagcagcaā€ƒagacctgagtā€ƒtcaaattaaaā€ƒtctgccaact
1921 accagctcagā€ƒtgaatctgggā€ƒcgagtaacacā€ƒaaaacttgagā€ƒtgtccttaccā€ƒtgaaaaatag
1981 aggttagaggā€ƒgatgctatgtā€ƒgccattgtgtā€ƒgtgtgtgttgā€ƒggggtggggaā€ƒttgggggtga
2041 tttgtgagcaā€ƒattggaggtgā€ƒagggtggagcā€ƒccagtgcccaā€ƒgcacctatgcā€ƒactggggacc
2101 caaaaaggagā€ƒcatcttctcaā€ƒtgattttatgā€ƒtatcagaaatā€ƒtgggatggcaā€ƒtgtcattggg
2161 acagcgtcttā€ƒttttcttgtaā€ƒtggtggcacaā€ƒtaaatacatgā€ƒtgtcttataaā€ƒttaatggtat
2221 tttagatttgā€ƒacgaaatatgā€ƒgaatattaccā€ƒtgttgtgctgā€ƒatcttgggcaā€ƒaactataata
2281 tctctgggcaā€ƒaaaatgtcccā€ƒcatctgaaaaā€ƒacagggacaaā€ƒcgttcctcccā€ƒtcagccagcc
2341 actatggggcā€ƒtaaaatgagaā€ƒccacatctgtā€ƒcaagggttttā€ƒgccctcacctā€ƒccctccctgc
2401 tggaNggcatā€ƒccttggtNggā€ƒcagaggtgggā€ƒcttcgggcagā€ƒaacaagccgtā€ƒgctgagctag
2461 gaccaggagtā€ƒgctagtgccaā€ƒctgtttgtctā€ƒatggagagggā€ƒaggcctcagtā€ƒgctgagggcc
2521 aagcaaatatā€ƒttgtggttatā€ƒggattaactcā€ƒgaactccaggā€ƒctgtcatggcā€ƒggcaggacgg
2581 cgNacttgcaā€ƒgtatctccacā€ƒgacccgccccā€ƒtgtgagtcccā€ƒcctccaggcaā€ƒggtctatgag
2641 gggtgtggagā€ƒggagggctgcā€ƒccccgggagaā€ƒagagagctagā€ƒgtggtgatgaā€ƒgggctgaatc
2701 ctccagccagā€ƒggtgctcaacā€ƒaagcctgagcā€ƒttggggtaaaā€ƒaggacacaagā€ƒgccctccaca
2761 ggccaggcctā€ƒggcagccacaā€ƒgtctcaggtcā€ƒcctttgccatā€ƒgcgcctccctā€ƒctttccaggc
2821 caagggtcccā€ƒcagggcccagā€ƒggccattccaā€ƒacagacagttā€ƒtggagcccagā€ƒgaccctccat
2881 tctccccaccā€ƒccacttccacā€ƒctttgggggtā€ƒgtcggatttgā€ƒaacaaatctcā€ƒagaagcggcc
2941 tcagagggagā€ƒtcggcaagaaā€ƒtggagagcagā€ƒggtccggtagā€ƒggtgtgcagaā€ƒgggccacgtg
3001 gcctatccacā€ƒtggggagggtā€ƒtccttgatctā€ƒctggccaccaā€ƒgggctatctcā€ƒtgtggccttt
3061 tggagcacctā€ƒggtggtttggā€ƒggcaggggttā€ƒgaatttccagā€ƒgcctaaaaccā€ƒacacaggcct
3121 ggccttgagtā€ƒcctggctctgā€ƒcgagtaatgcā€ƒatggatgtaaā€ƒacatggagacā€ƒccaggacctt
3181 gcctcagtctā€ƒtccgagtctgā€ƒgtgcctgcagā€ƒtgtactgatgā€ƒgtgtgagaccā€ƒctactcctgg
3241 aggatgggggā€ƒacagaatctgā€ƒatcgatccccā€ƒtgggttggtgā€ƒacttccctgtā€ƒgcaatcaacg
3301 gagaccagcaā€ƒagggttggatā€ƒttttaataaaā€ƒccacttaactā€ƒcctccgagtcā€ƒtcagtttccc
3361 cctctatgaaā€ƒatggggttgaā€ƒcagcattaatā€ƒaactacctctā€ƒtgggtggttgā€ƒtgagccttaa
3421 ctgaagtcatā€ƒaatatctcatā€ƒgtttactgagā€ƒcatgagctatā€ƒgtgcaaagccā€ƒtgttttgaga
3481 gctttatgtgā€ƒgactaactccā€ƒtttaattctcā€ƒacaacaccctā€ƒttaaggcacaā€ƒgatacaccac
3541 gttattccatā€ƒccattttacaā€ƒaatgaggaaaā€ƒctgaggcatgā€ƒgagcagttaaā€ƒgcatcttgcc
3601 caacattgccā€ƒctccagtaagā€ƒtgctggagctā€ƒggaatttgcaā€ƒccgtgcagtcā€ƒtggcttcatg
3661 gcctgccctgā€ƒtgaatcctgtā€ƒaaaaattgttā€ƒtgaaagacacā€ƒcatgagtgtcā€ƒcaatcaacgt
3721 tagctaatatā€ƒtctcagcccaā€ƒgtcatcagacā€ƒcggcagaggcā€ƒagccaccccaā€ƒctgtccccag
3781 ggaggacacaā€ƒaacatcctggā€ƒcaccctctccā€ƒactgcattctā€ƒggagctgcttā€ƒtctaggcagg
3841 cagtgtgagcā€ƒtcagccccacā€ƒgtagagcgggā€ƒcagccgaggcā€ƒcttctgaggcā€ƒtatgtctcta
3901 gcgaacaaggā€ƒaccctcaatNā€ƒccagcttccgā€ƒccctgacggcā€ƒcagcacacagā€ƒggacagccct
3961 ttcattccgcā€ƒttccacctggā€ƒgggtgcaggcā€ƒagagcagcagā€ƒcgggggtaggā€ƒcactgcccgg
4021 agctcagaagā€ƒtcctcctcagā€ƒacaggtgccaā€ƒgtgcctccagā€ƒaatgtggcagā€ƒctcacaagcc
4081 tcctgctgttā€ƒcgtggccaccā€ƒtggggaatttā€ƒccggcacaccā€ƒagctcctcttā€ƒggtaaggcca
4141 ccccacccctā€ƒaccccgggacā€ƒccttgtggccā€ƒtctacaaggcā€ƒctggtggcatā€ƒctgcccaggc
4201 cttcacagctā€ƒtccaccatctā€ƒctctgagcccā€ƒtgggtgaggtā€ƒgaggggcagaā€ƒtgggaatggc
4261 aggaatcaacā€ƒtgacaagtccā€ƒcaggtaggccā€ƒagctgccagaā€ƒgtgccacacaā€ƒggggctgcca
4321 gggcaggcatā€ƒgcgtgatggcā€ƒagggagccccā€ƒgcgatgacctā€ƒcctaaagctcā€ƒcctcctccac
4381 acggggatggā€ƒtcacagagtcā€ƒccctgggcctā€ƒtccctctccaā€ƒcccactcactā€ƒccctcaactg
4441 tgaagaccccā€ƒaggcccaggcā€ƒtaccgtccacā€ƒactatccagcā€ƒacagcctcccā€ƒctactcaaat
4501 gcacactggcā€ƒctcacggctgā€ƒccctgccccaā€ƒacccctttccā€ƒtggtctccacā€ƒagccaacggg
4561 aggaggccatā€ƒgattcttgggā€ƒgaggtccgcaā€ƒggacacatggā€ƒgcccctaaagā€ƒccacaccagg
4621 ctgttggtttā€ƒcatttgtgccā€ƒtttatagagcā€ƒtgtttatctgā€ƒcttgggacctā€ƒgcacctccac
4681 cctttcccaaā€ƒggtgccctcaā€ƒgctcaggcatā€ƒaccctcctctā€ƒaggatgccttā€ƒttcccccatc
4741 ccttcttgctā€ƒcacaccoccaā€ƒacttgatctcā€ƒtccctcctaaā€ƒctgtgccctgā€ƒcacccaagaN
4801 agacacttcaā€ƒcagagcccagā€ƒgagacacctgā€ƒgggacccttcā€ƒctgggtgataā€ƒggtctgtcta
4861 tcctccaggtā€ƒgtccctgcccā€ƒaaggggagaaā€ƒgcatggggaaā€ƒtacttggttgā€ƒggggaggaNa
4921 ggaagactggā€ƒggggatgtgtā€ƒcaagatggggā€ƒctgcaNgtggā€ƒtgtactggcaā€ƒgaagagtgag
4981 aggatttaacā€ƒttggcagcctā€ƒttacagcagcā€ƒagccagggctā€ƒtgagtacttaā€ƒtctctgggcc
5041 agggactgtaā€ƒttggatgtttā€ƒtacatgacggā€ƒtctcatccccā€ƒatgtttttggā€ƒatgagtaaat
5101 tgaaccttagā€ƒaaaggtaaagā€ƒacactggctcā€ƒaaggtcacacā€ƒagagatcgggā€ƒgtggggttca
5161 cagggaggccā€ƒtgtccatctcā€ƒagagcaaggcā€ƒttcgtcctccā€ƒaactgccatcā€ƒtgcttcctgg
5221 ggaggaaaagā€ƒagcagaggacā€ƒccctgcgccaā€ƒagccatgaccā€ƒtagaattagaā€ƒatgagtcttg
5281 agggggcggaā€ƒgacaagacctā€ƒtcccaggctcā€ƒtcccagctctā€ƒgcttcctcagā€ƒaccccctcat
5341 ggccccagccā€ƒcctcttaggcā€ƒccctccaccaā€ƒaggtgagctcā€ƒcccctccctcā€ƒcaaaaccaga
5401 ctcagtgttcā€ƒtccagcagcgā€ƒagcgtgcccaā€ƒccaggtgctgā€ƒcggatccgcaā€ƒaacgtgccaa
5461 ctccttcctgā€ƒgaggagctccā€ƒgtcacagcagā€ƒcctggagcggā€ƒgagtgcatagā€ƒaggagatctg
5521 tgacttcgagā€ƒgaggccaaggā€ƒaaattttccaā€ƒaaatgtggatā€ƒgacacagtaaā€ƒggccaccatg
5581 ggtccagaggā€ƒatgaggctcaā€ƒggggcgagctā€ƒggtaaccagcā€ƒaggggcctcgā€ƒaggagcaggt
5641 ggggactcaaā€ƒtgctgaggccā€ƒctcttaggagā€ƒttgtgggggtā€ƒggctgagtggā€ƒagcgattagg
5701 atgctggcccā€ƒtatgatgtcgā€ƒgccaggcacaā€ƒtgtgactgcaā€ƒagaaacagaaā€ƒttcaggaaga
5761 agctccaggaā€ƒaagagtgtggā€ƒggtgaccctaā€ƒggtggggactā€ƒcccaccagccā€ƒacagtgtagg
5821 tggttcagtcā€ƒcaccctccagā€ƒccactgctgaā€ƒgcaccactgcā€ƒctccccNtccā€ƒcacctcacaa
5881 agaggggaccā€ƒtaaagaccacā€ƒcctgcttccaā€ƒcccatgcctcā€ƒtgctgatcagā€ƒggtgtgtgtg
5941 tgaccgaaacā€ƒtcacttctgtā€ƒccacataaaaā€ƒtcgctcactcā€ƒtgtgcctcacā€ƒatcaaaggga
6001 gaaaatctgaā€ƒttgttcagggā€ƒggtcggaagaā€ƒcagggtctgtā€ƒgtcctatttgā€ƒtctaagggtc
6061 agagtcctttā€ƒggagcccccaā€ƒgagtcctgtgā€ƒgacgtggcccā€ƒtaggtagtagā€ƒggtgagcttg
6121 gtaacggggcā€ƒtggcttcctgā€ƒagacaaggctā€ƒcagacccgctā€ƒctgtccctggā€ƒggatcgcttc
6181 agccacNaggā€ƒacctgaaaatā€ƒtgtgcacggcā€ƒctgggcccccā€ƒttccaaggcaā€ƒtccagggatg
6241 ctttccagtgā€ƒgaggctttcaā€ƒgggcaggagaā€ƒccctctggccā€ƒtgcaccctctā€ƒcttgccctca
6301 gcctccacctā€ƒccttgactggā€ƒacccccatctā€ƒggacctccatā€ƒccccaccaccā€ƒtctttcccca
6361 gtggcctcccā€ƒtggcagacNcā€ƒcacagtgactā€ƒttctgcaggcā€ƒacatatctgaā€ƒtcacatcaag
6421 tccccaccgtā€ƒgctcccacctā€ƒcacccatggtā€ƒctctcagcccā€ƒcagcaggcctā€ƒtggctggcct
6481 ctctgatggaā€ƒgcaggcatcaā€ƒggcacaggccā€ƒgtgggtctcaā€ƒacgtgggctgā€ƒggtggtcctg
6541 gaccagcagcā€ƒagccgccgcaā€ƒgcagcaacccā€ƒtggtacctggā€ƒttaggaacgcā€ƒagaccctctg
6601 cccccatcctā€ƒcccaactctgā€ƒaaaaacactgā€ƒgcttagggaaā€ƒaggcgcgatgā€ƒctcaggggtc
6661 ccccaaagccā€ƒcgcaggcagaā€ƒgggagtgatgā€ƒggactggaagā€ƒgaggccgagtā€ƒgacttggtga
6721 gggattcgggā€ƒtcccttgcatā€ƒgccagaggctā€ƒgctgtgggagā€ƒcggacagtcgā€ƒcgagagcagc
6781 actgcagctgā€ƒcatggggagaā€ƒgggtgttgctā€ƒccagggacgtā€ƒgggatggaggā€ƒctgggcgcgg
6841 gcgggtggcgā€ƒctggagggcgā€ƒggggaggggcā€ƒagggagcaccā€ƒagctcctagcā€ƒagccaacgac
6901 catcgggcgtā€ƒcgatccctgtā€ƒttgtctggaaā€ƒgccctcccctā€ƒcccctgcccgā€ƒctcacccgct
6961 gccctgccccā€ƒacccgggcgcā€ƒgccccctccgā€ƒcacaccggctā€ƒgcaggagcctā€ƒgacgctgccc
7021 gctctctccgā€ƒcagctggcctā€ƒtctggtccaaā€ƒgcacgtcggtā€ƒgagtgcgttcā€ƒtagatccccg
7081 gctggactacā€ƒcggcgcccgcā€ƒgcccctcgggā€ƒatctctggccā€ƒgctgacccccā€ƒtaccccgcct
7141 tgtgtcgcagā€ƒacggtgaccaā€ƒgtgcttggtcā€ƒttgcccttggā€ƒagcacccgtgā€ƒcgccagcctg
7201 tgctgcgggcā€ƒacggcacgtgā€ƒcatcgacggcā€ƒatcggcagctā€ƒtcagctgcgaā€ƒctgccgcagc
7261 ggctgggaggā€ƒgccgcttctgā€ƒccagcgcggtā€ƒgagggggagaā€ƒggtggatgctā€ƒggcgggcggc
7321 ggggcggggcā€ƒtggggccgggā€ƒttgggggcgcā€ƒggcaccagcaā€ƒccagctgcccā€ƒgcgccctccc
7381 ctgcccgcagā€ƒaggtgagcttā€ƒcctcaattgcā€ƒtcgctggacaā€ƒacggcggctgā€ƒcacgcattac
7441 tgcctagaggā€ƒaggtgggctgā€ƒgcggcgctgtā€ƒagctgtgcgcā€ƒctggctacaaā€ƒgctgggggac
7501 gacctcctgcā€ƒagtgtcacccā€ƒcgcaggtgagā€ƒaagcccccaaā€ƒtacatcgcccā€ƒaggaatcacg
7561 ctgggtgcggā€ƒggtgggcaggā€ƒcccctgacggā€ƒggcgcggcgcā€ƒggggggctcaā€ƒggagggtttc
7621 tagggagggaā€ƒgcgaggaacaā€ƒgagttgagccā€ƒttggggcagcā€ƒggcagacgcgā€ƒccccaacacc
7681 ggggccactgā€ƒttagcgcaatā€ƒcagcccgggaā€ƒgctgggcgcgā€ƒccctccgcttā€ƒtccctgcttc
7741 ctttcttcctā€ƒggcgtccccgā€ƒccttcctccgā€ƒggcgccccctā€ƒgcgcacctggā€ƒggccacctcc
7801 tggagcgcaaā€ƒgcccagtggtā€ƒggctccgctcā€ƒcccagtctgaā€ƒgcgtatctggā€ƒggcgaggcgt
7861 gcagcgtcctā€ƒcctccatgtaā€ƒgcctggctgcā€ƒgtttttctctā€ƒgacgttgtccā€ƒggcgtgcatc
7921 gcatttccctā€ƒctttacccccā€ƒttgcttccttā€ƒgaggagagaaā€ƒcagaatcccgā€ƒattctgcctt
7981 cttctatattā€ƒttcctttttaā€ƒtgcattttaaā€ƒtcaaatttatā€ƒatatgtatgaā€ƒaactttaaaa
8041 atcagagtttā€ƒtacaactcttā€ƒacatttcagcā€ƒatgctgttccā€ƒttggcatgggā€ƒtccttttttc
8101 attcattttcā€ƒattaaaaggtā€ƒggacccttttā€ƒaatgtggaaaā€ƒttcctatcttā€ƒctgcctctag
8161 ggacatttatā€ƒcacttatttcā€ƒttctacaatcā€ƒtcccctttacā€ƒttcctctattā€ƒttctctttct
8221 ggacctcccaā€ƒttattcagacā€ƒctctttcctcā€ƒtagttttattā€ƒgtctcttctaā€ƒtttcccatct
8281 ctttgactttā€ƒgtgttttcttā€ƒtcagggaactā€ƒttctttttttā€ƒtcttttttttā€ƒtgagatggag
8341 tttcactcttā€ƒgttgtcccagā€ƒgctggagtgcā€ƒaatgacgtgaā€ƒtctcagctcaā€ƒccacaacctc
8401 cgcctcctggā€ƒattcaagcgaā€ƒttctcctgccā€ƒgcagcctcccā€ƒgagtagctggā€ƒgattacaggc
8461 atgcgccaccā€ƒacgcccagctā€ƒaattttgtgtā€ƒttttagtagaā€ƒgaaggggtttā€ƒctccgtgttg
8521 gtcaagctggā€ƒtcttgaactcā€ƒctgacctcagā€ƒgtgatccaccā€ƒtgccttggccā€ƒtcctaaagtg
8581 ctgggattacā€ƒaggcgtgagcā€ƒcaccgcgcccā€ƒagcctctttcā€ƒagggaactttā€ƒctacaacttt
8641 ataattcaatā€ƒtcttctgcagā€ƒaaaaaaatttā€ƒttggccaggcā€ƒtcagtagctcā€ƒagaccaataa
8701 ttccagcactā€ƒttgagaggctā€ƒgaggtgggagā€ƒgattgcttgaā€ƒgcttgggagtā€ƒttgagactag
8761 cctgggcaacā€ƒacagtgagacā€ƒcctgtctctaā€ƒtttttaaaaaā€ƒaagtaaaaaaā€ƒagatctaaaa
8821 atttaactttā€ƒttattttgaaā€ƒataattagatā€ƒatttccaggaā€ƒagctgcaaagā€ƒaaatgcctgg
8881 tgggcctgttā€ƒggcctgtgggā€ƒtttcctgcaaā€ƒggccgtgggaā€ƒaggccctgtcā€ƒattggcagaa
8941 ccccagatcgā€ƒtgagggctttā€ƒccttttaggcā€ƒtgctttctaaā€ƒgaggactcctā€ƒccaagctctt
9001 ggaggatggaā€ƒagacgctcacā€ƒccatggtgttā€ƒcggcccctcaā€ƒgagcagggtgā€ƒgggcagggga
9061 gctggtgcctā€ƒgtgcaggctgā€ƒtggacatttgā€ƒcatgactcccā€ƒtgtggtcagcā€ƒtaagagcacc
9121 actccttcctā€ƒgaagcggggcā€ƒctgaagtcccā€ƒtagtcagagcā€ƒctctggttcaā€ƒccttctgcag
9181 gcagggagagā€ƒgggagtcNagā€ƒtcagtgaggaā€ƒgggctttcgcā€ƒagtttctcttā€ƒacaaactctc
9241 aacatgccctā€ƒcccacctgcaā€ƒctgccttcctā€ƒggaagccccaā€ƒcagcctcctaā€ƒtggttccgtg
9301 gtccagtcctā€ƒtcagcttctgā€ƒggcgcccccaā€ƒtcacgggctgā€ƒagatttttgcā€ƒtttccagtct
9361 gccaagtcagā€ƒttactgtgtcā€ƒcatccatctgā€ƒctgtcagcttā€ƒctggaattgtā€ƒtgctgttgtg
9421 ccctttccatā€ƒtcttttgttaā€ƒtgatgcagctā€ƒcccctgctgaā€ƒcgacgtcccaā€ƒttgctctttt
9481 aagtctagatā€ƒatctggactgā€ƒggcattcaagā€ƒgcccattttgā€ƒagcagagtcgā€ƒggcNgacctt
9541 tcagccctcaā€ƒgttctccatgā€ƒgagtatgcgcā€ƒtctcttcttgā€ƒgcagggaggcā€ƒctcacaaaca
9601 tgccatgcctā€ƒattgtaggagā€ƒctctccaagaā€ƒatgctcacctā€ƒccttctccctā€ƒgtaattcctt
9661 tcctctgtgaā€ƒggagctcagcā€ƒagcatcccatā€ƒtatgagacctā€ƒtactaatcccā€ƒagggatcacc
9721 cccaacagccā€ƒctggggtacaā€ƒatgagcttttā€ƒaagaagtttaā€ƒaccacctatgā€ƒtaaggagaca
9781 caggcagtggā€ƒgcgatgctgcā€ƒctggcctgacā€ƒtcttgccattā€ƒgggtggtactā€ƒgtttgttgac
9841 tgactgactgā€ƒactgactggaā€ƒgggggtttgtā€ƒaatttgtatcā€ƒtcagggattaā€ƒcccccaacag
9901 ccctggggtaā€ƒcaatgagcctā€ƒtcaagaagttā€ƒtaacaacctaā€ƒtgtaaggacaā€ƒcacagccagt
9961 gggtgatgctā€ƒgcctggtctgā€ƒactcttgccaā€ƒttcagtggcaā€ƒctgtttgttgā€ƒactgactgac
10021 tgactgactgā€ƒgctgactggaā€ƒgggggttcatā€ƒagctaatattā€ƒaatggagtggā€ƒtctaagtatc
10081 attggttcctā€ƒtgaaccctgcā€ƒactgtggcaaā€ƒagtggcccacā€ƒaggctggaggā€ƒaggaccaaga
10141 caggagggcaā€ƒgtctcgggagā€ƒgagtgcctggā€ƒcaggcccctcā€ƒaccacctctgā€ƒcctacctcag
10201 tgaagttcccā€ƒttgtgggaggā€ƒccctggaagcā€ƒggatggagaaā€ƒgaagcgcagtā€ƒcacctgaaac
10261 gagacacagaā€ƒagaccaagaaā€ƒgaccaagtagā€ƒatccgcggctā€ƒcattgatgggā€ƒaagatgacca
10321 ggcggggagaā€ƒcagcccctggā€ƒcaggtgggagā€ƒgcgaggcagcā€ƒaccggctgctā€ƒcacgtgctgg
10381 gtccgggatcā€ƒactgagtccaā€ƒtcctggcagcā€ƒtatgctcaggā€ƒgtgcagaaacā€ƒcgagagggaa
10441 gcgctgccatā€ƒtgcgtttgggā€ƒggatgatgaaā€ƒggtgggggatā€ƒgcttcagggaā€ƒaagatggacg
10501 caacctgaggā€ƒggagaggagcā€ƒagccagggtgā€ƒggtgaggggaā€ƒggggcatgggā€ƒggcatggagg
10561 ggtctgcaggā€ƒagggagggttā€ƒacagtttctaā€ƒaaaagagctgā€ƒgaaagacactā€ƒgctctgctgg
10621 cgggattttaā€ƒggcagaagccā€ƒctgctgatggā€ƒgagagggctaā€ƒggagggagggā€ƒccgggcctga
10681 gtacccctccā€ƒagcctccacaā€ƒtgggaactgaā€ƒcacttactggā€ƒgttcccctctā€ƒctgccaggca
10741 tgggggagatā€ƒaggaaccaacā€ƒaagtgggagtā€ƒatttgccctgā€ƒgggactcagaā€ƒctctgcaagg
10801 gtcaggacccā€ƒcaaagacccgā€ƒgcagcccagtā€ƒgggaccacagā€ƒccaggacggcā€ƒccttcaagat
10861 aggggctgagā€ƒggaggcccaaā€ƒggggaacatcā€ƒcaggcagcctā€ƒgggggccacaā€ƒaagtcttcct
10921 ggaagacacaā€ƒaggcctggccā€ƒaagcctctaaā€ƒggatgagaggā€ƒagctcgctggā€ƒgcgatgttgg
10981 gtgtggctgaā€ƒgggtgactgaā€ƒaacagtatgaā€ƒacagtgcaggā€ƒaacagcatggā€ƒgcaaaggcag
11041 gaagacacccā€ƒtgggacaggcā€ƒtgacactgtaā€ƒaaatgggcaaā€ƒaaatagaaaaā€ƒcgccagaaag
11101 ggcctaagccā€ƒtatgcccataā€ƒtgaccagggaā€ƒacccaggaaaā€ƒgtgcatatgaā€ƒaacccaggtg
11161 ccctggactgā€ƒgaggctgtcaā€ƒggaggcagccā€ƒctgtgatgtcā€ƒatcatcccacā€ƒcccattccag
11221 gtggtcctgcā€ƒtggactcaaaā€ƒgaagaagctgā€ƒgcctgcggggā€ƒcagtgctcatā€ƒccacccctcc
11281 tgggtgctgaā€ƒcagcggcccaā€ƒctgcatggatā€ƒgagtccaagaā€ƒagctccttgtā€ƒcaggcttggt
11341 atgggctggaā€ƒgccaggcagaā€ƒagggggctgcā€ƒcagaggcctgā€ƒggtagggggaā€ƒccaggcaggc
11401 tgttcaggttā€ƒtgggggacccā€ƒcgctccccagā€ƒgtgcttaagcā€ƒaagaggcttcā€ƒttgagctcca
11461 cagaaggtgtā€ƒttggggggaaā€ƒgaggcctatgā€ƒtgcccccaccā€ƒctgcccacccā€ƒatgtacaccc
11521 agtattttgcā€ƒagtagggggtā€ƒtctctggtgcā€ƒcctcttcgaaā€ƒtctgggcacaā€ƒggtacctgca
11581 cacacatgttā€ƒtgtgaggggcā€ƒtacacagaccā€ƒttcacctctcā€ƒcactcccactā€ƒcatgaggagc
11641 aggctgtgtgā€ƒggcctcagcaā€ƒcccttgggtgā€ƒcagagaccagā€ƒcaaggcctggā€ƒcctcagggct
11701 gtgcctcccaā€ƒcagactgacaā€ƒgggatggagcā€ƒtgtacagaggā€ƒgagccctagcā€ƒatctgccaaa
11761 gccacaagctā€ƒgcttccctagā€ƒcaggctggggā€ƒgcacctatgcā€ƒattggccccgā€ƒatctatggca
11821 atttctggagā€ƒggggggtctgā€ƒgctcaactctā€ƒttatgccaaaā€ƒaagaaggcaaā€ƒagcatattga
11881 gaaaggccaaā€ƒattcacatttā€ƒcctacagcatā€ƒaatctatggcā€ƒcagtggccccā€ƒccgtggggct
11941 tggcttagaaā€ƒttcccaggtgā€ƒctcttcccagā€ƒggaaccatcaā€ƒgtctggactgā€ƒagaggacctt
12001 ctctctcaggā€ƒtgggacccggā€ƒccctgtcctcā€ƒcctggcagtgā€ƒccgtgttctgā€ƒggggtcctcc
12061 tctctgggtcā€ƒtcactgccccā€ƒtggggtctctā€ƒccagctacctā€ƒttgctccaNgā€ƒttcctttgtg
12121 gctctggtctā€ƒgtgtctggggā€ƒtttccaggggā€ƒtctcgggcttā€ƒccctgctgccā€ƒcattccttct
12181 ctggtctcacā€ƒggctccgtgaā€ƒctcctgaaaaā€ƒccaaccagcaā€ƒtcctacccctā€ƒttgggattga
12241 cacctgttggā€ƒccactccttcā€ƒtggcaggaaaā€ƒagtcaccgttā€ƒgatagggttcā€ƒcacggcatag
12301 acaggtggctā€ƒccgcgccagtā€ƒgcctgggacgā€ƒtgtgggtgcaā€ƒcagtctccggā€ƒgtgaaccttc
12361 ttcaggccctā€ƒctgcccaggcā€ƒctgcaggggcā€ƒacagcagtggā€ƒgtgggcctcaā€ƒggaaagtgcc
12421 actggggagaā€ƒggctccccgcā€ƒagcccactctā€ƒgactgtgcccā€ƒtctgccctgcā€ƒaggagagtat
12481 gacctgcggcā€ƒgctgggagaaā€ƒgtgggagctgā€ƒgacctggacaā€ƒtcaaggaggtā€ƒcttcgtccac
12541 cccaactacaā€ƒgcaagagcacā€ƒcaccgacaatā€ƒgacatcgcacā€ƒtgctgcacctā€ƒggcccagccc
12601 gccaccctctā€ƒcgcagaccatā€ƒagtgcccatcā€ƒtgcctcccggā€ƒacagcggcctā€ƒtgcagagcgc
12661 gagctcaatcā€ƒaggccggccaā€ƒggagaccctcā€ƒgtgacgggctā€ƒggggctaccaā€ƒcagcagccga
12721 gagaaggaggā€ƒccaagagaaaā€ƒccgcaccttcā€ƒgtcctcaactā€ƒtcatcaagatā€ƒtcccgtggtc
12781 ccgcacaatgā€ƒagtgcagcgaā€ƒggtcatgagcā€ƒaacatggtgtā€ƒctgagaacatā€ƒgctgtgtgcg
12841 ggcatcctcgā€ƒgggaccggcaā€ƒggatgcctgcā€ƒgagggcgacaā€ƒgtggggggccā€ƒcatggtcgcc
12901 tccttccacgā€ƒgcacctggttā€ƒcctggtgggcā€ƒctggtgagctā€ƒggggtgagggā€ƒctgtgggctc
12961 cttcacaactā€ƒacggcgtttaā€ƒcaccaaagtcā€ƒagccgctaccā€ƒtcgactggatā€ƒccatgggcac
13021 atcagagacaā€ƒaggaagccccā€ƒccagaagagcā€ƒtgggcaccttā€ƒagcgaccctcā€ƒcctgcagggc
13081 tgggcttttgā€ƒcatggcaatgā€ƒgatgggacatā€ƒtaaagggacaā€ƒtgtaacaagcā€ƒacaccggcct
13141 gctgttctgtā€ƒccttccatccā€ƒctcttttgggā€ƒctcttctggaā€ƒgggaagtaacā€ƒatttactgag
13201 cacctgttgtā€ƒatgtcacatgā€ƒccttatgaatā€ƒagaatcttaaā€ƒctcctagagcā€ƒaactctgtgg
13261 ggtggggaggā€ƒagcagatccaā€ƒagttttgcggā€ƒggtctaaagcā€ƒtgtgtgtgttā€ƒgagggggata
13321 ctctgtttatā€ƒgaaaaagaatā€ƒaaaaaacacaā€ƒaccacgaagcā€ƒcactagagccā€ƒttttccaggg
13381 ctttgggaagā€ƒagcctgtgcaā€ƒagccggggatā€ƒgctgaaggtgā€ƒaggcttgaccā€ƒagctttccag
13441 ctagcccagcā€ƒtatgaggtagā€ƒacatgtttagā€ƒctcatatcacā€ƒagaggaggaaā€ƒactgaggggt
13501 ctgaaaggttā€ƒtacatggtggā€ƒagccaggattā€ƒcaaatctaggā€ƒtctgactccaā€ƒaaacccaggt
13561 gcttttttctā€ƒgttctccactā€ƒgtcctggaggā€ƒacagctgtttā€ƒcgacggtgctā€ƒcagtgtggag
13621 gccactattaā€ƒgctctgtaggā€ƒgaagcagccaā€ƒgagacccagaā€ƒaagtgttggtā€ƒtcagcccaga
13681 atgagctcacā€ƒagtgtcgcggā€ƒgggaagctgtā€ƒttaagaacaaā€ƒtgttacaccaā€ƒtcatgaacag
13741 cagtaagaaaā€ƒgaggctctggā€ƒcttaacctggā€ƒcctgataggcā€ƒctaattgaatā€ƒgagacagaaa
13801 taagtcaaggā€ƒatgctctgatā€ƒttgaaatcatā€ƒgaagtacctgā€ƒatgaaaagaaā€ƒatggtggtga
13861 gataaagctg

The sequences shown in Table 1B, are sequence fragments taken from the Protein C sequence shown in Table 1A above. Furthermore, SEQ ID NO: 2 corresponds to the sequence underlined in Table 1A above. The nucleotide N, at position 8 in SEQ ID NO: 2 corresponds to the nucleotide found at position 2418 of SEQ ID NO: 1. In all of the Sequences found in TABLE 2B below the polymorphism represented by an N may substituted by an a, t, u, g or c. Furthermore, bold and underlined nucleotides represented by N in SEQ ID NOs.: 3-11 in TABLE 2B, all correspond to the nucleotide found at position 2418 of SEQ ID NO: 1. Due to the potential variability in protein C sequence, the sequence motifs below may be useful in identifying protein C sequences from a patient that are suitable for genotype determination. For Example, patient sequences that form alignments with the below motifs (SEQ ID NO: 3-11) may indicate that the patient sequence is a protein C sequence and that the bold and underlined N corresponds to the polymorphism at position 2418 of SEQ ID NO: 1 and is therefore suitable for genotype determination. A similar strategy may be applied to the other polymorphism sites identified herein.

TABLEā€ƒ1B
SEQā€ƒIDā€ƒNO: SEQUENCE
SEQā€ƒIDā€ƒNO:ā€ƒ2 ccttggtNggā€ƒcagaggtggg
SEQā€ƒIDā€ƒNO:ā€ƒ3 tggaNggcatā€ƒccttggtNgg
SEQā€ƒIDā€ƒNO:ā€ƒ4 Nggcagaggtā€ƒgggcttcggg
SEQā€ƒIDā€ƒNO:ā€ƒ5 Nggcagaggtā€ƒgggcttcgggā€ƒcagaacaagc
SEQā€ƒIDā€ƒNO:ā€ƒ6 gctggaNggcā€ƒatccttggtN
SEQā€ƒIDā€ƒNO:ā€ƒ7 ctccctccctā€ƒgctggaNggcā€ƒatccttggtN
SEQā€ƒIDā€ƒNO:ā€ƒ8 ttgccctcacā€ƒctccctccctā€ƒgctggaNggc
atccttggtN
SEQā€ƒIDā€ƒNO:ā€ƒ9 caagggttttā€ƒgccctcacctā€ƒccctccctgc
tggaNggcatā€ƒccttggtNggā€ƒcagaggtgggā€ƒ
cttcgggcagā€ƒaacaagccgtā€ƒgctgagctag
SEQā€ƒIDā€ƒNO:ā€ƒ10 ccttggtNggā€ƒcagagg
SEQā€ƒIDā€ƒNO:ā€ƒ11 cttggtNggcā€ƒag

An ā€œalleleā€ is defined as any one or more alternative forms of a given gene. In a diploid cell or organism the members of an allelic pair (i.e. the two alleles of a given gene) occupy corresponding positions (loci) on a pair of homologous chromosomes and if these alleles are genetically identical the cell or organism is said to be ā€œhomozygousā€, but if genetically different the cell or organism is said to be ā€œheterozygousā€ with respect to the particular gene.

A ā€œgeneā€ is an ordered sequence of nucleotides located in a particular position on a particular chromosome that encodes a specific functional product and may include untranslated and untranscribed sequences in proximity to the coding regions. Such non-coding sequences may contain regulatory sequences needed for transcription and translation of the sequence or introns etc.

A ā€œgenotypeā€ is defined as the genetic constitution of an organism, usually in respect to one gene or a few genes or a region of a gene relevant to a particular context (i.e. the genetic loci responsible for a particular phenotype).

A ā€œphenotypeā€ is defined as the observable characters of an organism.

A ā€œsingle nucleotide polymorphismā€ (SNP) occurs at a polymorphic site occupied by a single nucleotide, which is the site of variation between allelic sequences. The site is usually preceded by and followed by highly conserved sequences of the allele (e.g., sequences that vary in less than 1/100 or 1/1000 members of the populations). A single nucleotide polymorphism usually arises due to substitution of one nucleotide for another at the polymorphic site. A ā€œtransitionā€ is the replacement of one purine by another purine or one pyrimidine by another pyrimidine. A ā€œtransversionā€ is the replacement of a purine by a pyrimidine or vice versa. Single nucleotide polymorphisms can also arise from a deletion of a nucleotide or an insertion of a nucleotide relative to a reference allele. Furthermore, it would be appreciated by a person of skill in the art, that an insertion or deletion within a given sequence could alter the relative position and therefore the position number of another polymorphism within the sequence.

A ā€œsystemic inflammatory response syndromeā€ or (SIRS) is defined as including both septic (i.e. sepsis or septic shock) and non-septic systemic inflammatory response (i.e. post operative). ā€œSIRSā€ is further defined according to ACCP (American College of Chest Physicians) guidelines as the presence of two or more of A) temperature >38° C. or <36° C., B) heart rate >90 beats per minute, C) respiratory rate >20 breaths per minute, and D) white blood cell count >12,000 per mm3 or <4,000 mm3. In the following description, the presence of two, three, or four of the ā€œSIRSā€ criteria were scored each day over the 28 day observation period.

ā€œSepsisā€ is defined as the presence of at least two ā€œSIRSā€ criteria and known or suspected source of infection. Septic shock was defined as sepsis plus one new organ failure by Brussels criteria plus need for vasopressor medication.

Patient outcome or prognosis as used herein refers the ability of a patient to recover from an inflammatory condition. An inflammatory condition, may be selected from the group consisting of: sepsis, septicemia, pneumonia, septic shock, systemic inflammatory response syndrome (SIRS), Acute Respiratory Distress Syndrome (ARDS), acute lung injury, infection, pancreatitis, bacteremia, peritonitis, abdominal abscess, inflammation due to trauma, inflammation due to surgery, chronic inflammatory disease, ischemia, ischemia-reperfusion injury of an organ or tissue, tissue damage due to disease, tissue damage due to chemotherapy or radiotherapy, and reactions to ingested, inhaled, infused, injected, or delivered substances.

Assessing patient outcome or prognosis may be accomplished by various methods. For Example, an ā€œAPACHE IIā€ score is defined as Acute Physiology And Chronic Health Evaluation and herein was calculated on a daily basis from raw clinical and laboratory variables. Vincent et al. (Vincent J L. Ferreira F. Moreno R. Scoring systems for assessing organ dysfunction and survival. Critical Care Clinics. 16:353-366, 2000) summarize APACHE score as follows ā€œFirst developed in 1981 by Knaus et al., the APACHE score has become the most commonly used survival prediction model in ICUs worldwide. The APACHE II score, a revised and simplified version of the original prototype, uses a point score based on initial values of 12 routine physiologic measures, age, and previous health status to provide a general measure of severity of disease. The values recorded are the worst values taken during the patient's first 24 hours in the ICU. The score is applied to one of 34 admission diagnoses to estimate a disease-specific probability of mortality (APACHE II predicted risk of death). The maximum possible APACHE II score is 71, and high scores have been well correlated with mortality. The APACHE II score has been widely used to stratify and compare various groups of critically ill patients, including patients with sepsis, by severity of illness on entry into clinical trials.ā€

A ā€œBrussels scoreā€ score is a method for evaluating organ dysfunction as compared to a baseline. If the Brussels score is 2 or greater (ie. moderate, severe, or extreme), then organ failure was recorded as present on that particular day (see TABLE 1C below). In the following description, to correct for deaths during the observation period, days alive and free of organ failure (DAF) were calculated as previously described. For example, acute lung injury was calculated as follows. Acute lung injury is defined as present when a patient meets all of these four criteria. 1) Need for mechanical ventilation, 2) Bilateral pulmonary infiltrates on chest X-ray consistent with acute lung injury, 3) PaO2/FiO2 ratio is less than 300, 4) No clinical evidence of congestive heart failure or if a pulmonary artery catheter is in place for clinical purposes, a pulmonary capillary wedge pressure less than 18 mm Hg (1). The severity of acute lung injury is assessed by measuring days alive and free of acute lung injury over a 28 day observation period. Acute lung injury is recorded as present on each day that the person has moderate, severe or extreme dysfunction as defined in the Brussels score. Days alive and free of acute lung injury is calculated as the number of days after onset of acute lung injury that a patient is alive and free of acute lung injury over a defined observation period (28 days). Thus, a lower score for days alive and free of acute lung injury indicates more severe acute lung injury. The reason that days alive and free of acute lung injury is preferable to simply presence or absence of acute lung injury, is that acute lung injury has a high acute mortality and early death (within 28 days) precludes calculation of the presence or absence of acute lung injury in dead patients. The cardiovascular, renal, neurologic, hepatic and coagulation dysfunction were similarly defined as present on each day that the person had moderate, severe or extreme dysfunction as defined by the Brussels score. Days alive and free of steroids are days that a person is alive and is not being treated with exogenous corticosteroids (e.g. hydrocortisone, prednisone, methylprednisolone). Days alive and free of pressors are days that a person is alive and not being treated with intravenous vasopressors (e.g. dopamine, norepinephrine, epinephrine, phenylephrine). Days alive and free of an International Normalized Ratio (INR)>1.5 are days that a person is alive and does not have an INR >1.5.

TABLE 1C
Brussels Multiple Organ Dysfunction (MOD) Score
Abnormal
Normal Clinically Significant Organ Dysfunction
ORGANS Normal Mild Moderate Severe Extreme
Organ Failure Score 0 1 2 3 4
Cardiovascular >90 ≦90 ≦90 ≦90 plus ≦90 plus
Systolic BP (mmHg) Responsive to Unresponsive to pH ≦7.3 pH ≦7.2
fluid fluid
Pulmonary >400 400-301 300-201 200-101 =100
PaO2/FIO2 (mmHg) Acute lung injury ARDS Severe ARDS
CNS 15 14-13 12-10 9-6 ≦5
(Glascow Score)
Coagulation >120 120-81  80-51 50-21 ≦20
Platelets (Ɨ105/mm3)
Renal <1.5 1.5-1.9 2.0-3.4 3.5-4.9 ≧5.0
Creatinine (mg/dL)
Hepatic <1.2 1.2-1.9 2.0-5.9 6.0-11.9 ≧12
Bilirubin (mg/dL)
Round Table Conf. on Clinical Trials for the Treatment of Sepsis, Brussels, Mar. 12-14, 1994; and Russell JA, et al. and The Ibuprofen in Sepsis Study Group. Changing pattern of organ dysfunction in early human sepsis is related to mortality. Critical Care Medicine 2000; 28: 3405-3411

Analysis of variance (ANOVA) is a standard statistical approach to test for statistically significant differences between sets of measurements.

The Fisher exact test is a standard statistical approach to test for statistically significant differences between rates and proportions of characteristics measured in different groups.

1. General Methods

One aspect of the invention may involve the identification of patients or the selection of patients that are either at risk of developing and inflammatory condition or the identification of patients who already have an inflammatory condition. For example, patients who have undergone major surgery or scheduled for or contemplating major surgery may be considered as being at risk of developing an inflammatory condition. Furthermore, patients may be determined as having an inflammatory condition using diagnostic methods and clinical evaluations known in the medical arts. An inflammatory condition, may be selected from the group consisting of: sepsis, septicemia, pneumonia, septic shock, systemic inflammatory response syndrome (SIRS), Acute Respiratory Distress Syndrome (ARDS), acute lung injury, infection, pancreatitis, bacteremia, peritonitis, abdominal abscess, inflammation due to trauma, inflammation due to surgery, chronic inflammatory disease, ischemia, ischemia-reperfusion injury of an organ or tissue, tissue damage due to disease, tissue damage due to chemotherapy or radiotherapy, and reactions to ingested, inhaled, infused, injected, or delivered substances.

Once a patient is identified as being at risk for developing or having an inflammatory condition, then genetic sequence information may be obtained from the patient. Or alternatively genetic sequence information may already have been obtained from the patient. For example, a patient may have already provided a biological sample for other purposes or may have even had their genetic sequence determined in whole or in part and stored for future use. Genetic sequence information may be obtained in numerous different ways and may involve the collection of a biological sample that contains genetic material. Particularly, genetic material, containing the sequence or sequences of interest. Many methods are known in the art for collecting bodily samples and extracting genetic material from those samples. Genetic material can be extracted from blood, tissue and hair and other samples. There are many known methods for the separate isolation of DNA and RNA from biological material. Typically, DNA may be isolated from a biological sample when first the sample is lysed and then the DNA is isolated from the lysate according to any one of a variety of multi-step protocols, which can take varying lengths of time. DNA isolation methods may involve the use of phenol (Sambrook, J. et al., Molecular Cloning, Vol. 2, pp. 9.14-9.23, Cold Spring Harbor Laboratory Press (1989); Ausubel, F M. et al., Current Protocols in Molecular Biology, Vol. 1, pp. 2.2.1-2.4.5, John Wiley & Sons, Inc. (1994)). Typically, a biological sample is lysed in a detergent solution and the protein component of the lysate is digested with proteinase for 12-18 hours. Next, the lysate is extracted with phenol to remove most of the cellular components, and the remaining aqueous phase is processed further to isolate DNA. In another method, described in Van Ness et al. (U.S. Pat. No. 5,130,423), non-corrosive phenol derivatives are used for the isolation of nucleic acids. The resulting preparation is a mix of RNA and DNA.

Other methods for DNA isolation utilize non-corrosive chaotropic agents. These methods, which are based on the use of guanidine salts, urea and sodium iodide, involve lysis of a biological sample in a chaotropic aqueous solution and subsequent precipitation of the crude DNA fraction with a lower alcohol. The final purification of the precipitated, crude DNA fraction can be achieved by any one of several methods, including column chromatography (Analects, (1994) Vol 22, No. 4, Pharmacia Biotech), or exposure of the crude DNA to a polyanion-containing protein as described in Koller (U.S. Pat. No. 5,128,247).

Yet another method of DNA isolation, which is described by Botwell, DDL (Anal. Biochem. (1987) 162:463-465) involves lysing cells in 6M guanidine hydrochloride, precipitating DNA from the lysate at acid pH by adding 2.5 volumes of ethanol, and washing the DNA with ethanol.

Numerous other methods are known in the art to isolate both RNA and DNA, such as the one described by Chomczynski (U.S. Pat. No. 5,945,515), whereby genetic material can be extracted efficiently in as little as twenty minutes. Evans and Hugh (U.S. Pat. No. 5,989,431) describe methods for isolating DNA using a hollow membrane filter.

Once a patient's genetic sequence information has been obtained from the patient it may then be further analyzed to detect or determine the identity or genotype of one or more polymorphisms in the protein C gene. Provided that the genetic material obtained, contains the sequence of interest. Particularly, a person may be interested in determining the protein C promoter genotype of a patient of interest, where the genotype includes a nucleotide corresponding to position 2418 or SEQ ID NO: 1 or position 8 of SEQ ID NO: 2. The sequence of interest may also include other protein C gene polymorphisms or may also contain some of the sequence surrounding the polymorphism of interest. Detection or determination of a nucleotide identity or the genotype of the single nucleotide polymorphism(s) or other polymorphism, may be accomplished by any one of a number methods or assays known in the art, including but not limited to the following:

Restriction Fragment Length Polymorphism (RFLP) strategy—An RFLP gel-based analysis can be used to distinguish between alleles at polymorphic sites within a gene. Briefly, a short segment of DNA (typically several hundred base pairs) is amplified by PCR. Where possible, a specific restriction endonuclease is chosen that cuts the short DNA segment when one variant allele is present but does not cut the short DNA segment when the other allele variant is present. After incubation of the PCR amplified DNA with this restriction endonuclease, the reaction products are then separated using gel electrophoresis. Thus, when the gel is examined the appearance of two lower molecular weight bands (lower molecular weight molecules travel farther down the gel during electrophoresis) indicates that the initial DNA sample had the allele which could be cut by the chosen restriction endonuclease. In contrast, if only one higher molecular weight band is observed (at the molecular weight of the PCR product) then the initial DNA sample had the allele variant that could not be cut by the chosen restriction endonuclease. Finally, if both the higher molecular weight band and the two lower molecular weight bands are visible then the initial DNA sample contained both alleles, and therefore the patient was heterozygous for this single nucleotide polymorphism;

Sequencing—For example the Maxam-Gilbert technique for sequencing (Maxam A M. and Gilbert W., Proc. Natl. Acad. Sci. USA (1977) 74(4):560-564) involves the specific chemical cleavage of terminally labelled DNA. In this technique four samples of the same labeled DNA are each subjected to a different chemical reaction to effect preferential cleavage of the DNA molecule at one or two nucleotides of a specific base identity. The conditions are adjusted to obtain only partial cleavage, DNA fragments are thus generated in each sample whose lengths are dependent upon the position within the DNA base sequence of the nucleotide(s) which are subject to such cleavage. After partial cleavage is performed, each sample contains DNA fragments of different lengths, each of which ends with the same one or two of the four nucleotides. In particular, in one sample each fragment ends with a C, in another sample each fragment ends with a C or a T, in a third sample each ends with a G, and in a fourth sample each ends with an A or a G. When the products of these four reactions are resolved by size, by electrophoresis on a polyacrylamide gel, the DNA sequence can be read from the pattern of radioactive bands. This technique permits the sequencing of at least 100 bases from the point of labeling. Another method is the dideoxy method of sequencing was published by Sanger et al. (Proc. Natl. Acad. Sci. USA (1977) 74(12):5463-5467). The Sanger method relies on enzymatic activity of a DNA polymerase to synthesize sequence-dependent fragments of various lengths. The lengths of the fragments are determined by the random incorporation of dideoxynucleotide base-specific terminators. These fragments can then be separated in a gel as in the Maxam-Gilbert procedure, visualized, and the sequence determined. Numerous improvements have been made to refine the above methods and to automate the sequencing procedures. Similarly, RNA sequencing methods are also known. For example, reverse transcriptase with dideoxy-nucleotides have been used to sequence encephalomyocarditis virus RNA (Zimmern D. and Kaesberg P. Proc. Natl. Acad. Sci. USA (1978) 75(9):4257-4261). Mills D R. and Kramer F R. (Proc. Natl. Acad. Sci. USA (1979) 76(5):2232-2235) describe the use of Q.beta. replicase and the nucleotide analog inosine for sequencing RNA in a chain-termination mechanism. Direct chemical methods for sequencing RNA are also known (Peattie D A., Proc. Natl. Acad. Sci. USA (1979) 76(4):1760-1764). Other methods include those of Donis-Keller et al. (1977, Nucl. Acids Res. 4:2527-2538), Simoncsits A. et al. (Nature (1977) 269:833-836), Axelrod V D. et al. (Nucl. Acids Res. (1978) 5(10):3549-3563), and Kramer F R. and Mills D R. (Proc. Natl. Acad. Sci. USA (1978) 75(11):5334-5338, which are incorporated herein by reference). Nucleic acid sequences can also be read by stimulating the natural fluoresce of a cleaved nucleotide with a laser while the single nucleotide is contained in a fluorescence enhancing matrix (U.S. Pat. No. 5,674,743);

Hybridization methods for the identification of SNPs using hydridization techniques are described in the U.S. Pat. Nos. 6,270,961 and 6,025,136;

Oligonucleotide ligation assay (OLA)—is based on ligation of probe and detector oligonucleotides annealed to a polymerase chain reaction amplicon strand with detection by an enzyme immunoassay (Villahermosa M L. J Hum Virol (2001) 4(5):238-48; Romppanen E L. Scand J Clin Lab Invest (2001) 61(2):123-9; Iannone M A. et al. Cytometry (2000) 39(2):131-40);

Ligation-Rolling Circle Amplification (L-RCA) has also been successfully used for genotyping single nucleotide polymorphisms as described in Qi X. et al. Nucleic Acids Res (2001) 29(22):E116;

5′ nuclease assay has also been successfully used for genotyping single nucleotide polymorphisms (Aydin A. et al., Biotechniques (2001) 4:920-28);

Polymerase proofreading methods are used to determine SNPs identities, as described in WO 0181631.

Allele specific PCR methods have also been successfully used for genotyping single nucleotide polymorphisms (Hawkins J R. et al. Hum Mutat (2002) 19(5):543-553).

Alternatively, if a patient's sequence data is already known, then obtaining may involve retrieval of the patients nucleic acid sequence data from a database, followed by determining or detecting the identity of a nucleic acid or genotype at a polymorphism site by reading the patient's nucleic acid sequence at the polymorphic site.

Once the identity of a polymorphism(s) is determined or detected an indication may be obtained as to patient outcome or prognosis based on the genotype (the nucleotide at the position) of the polymorphism of interest. In the present invention, polymorphisms in the protein C promoter region or other protein C gene polymorphisms, are used to obtain a prognosis or to determine patient outcome. Methods for obtaining patient outcome or prognosis or for patient screening may be useful to determine the ability of a patient to recover from an inflammatory condition. Alternatively, single polymorphism sites or combined polymorphism sites may be used as an indication of a patient's ability to recover from an inflammatory condition, if they are linked to a polymorphism determined to be indicative of a patient's ability to recover from an inflammatory condition.

Once patient outcome or a prognosis is determined, such information may be of interest to physicians and surgeons to assist in deciding between potential treatment options, to help determine the degree to which patients are monitored and the frequency with which such monitoring occurs. Ultimately, treatment decisions may be made in response to factors, both specific to the patient and based on the experience of the physician or surgeon responsible for a patient's care. Treatment options that a physician or surgeon may consider in treating a patient with an inflammatory condition may include, but are not limited to the following:

(a) use of anti-inflammatory therapy;

(b) use of steroids;

(c) use of antibodies to tumor necrosis factor (TNF) or even antibody to endotoxin;

(d) use of tumor necrosis factor receptor (TNFR);

(e) use of activated Protein C (Xigris from Eli Lilly & Co.);

(f) use of tissue factor pathway inhibitors (tifacogin alpha from Chiron Corp.);

(g) use of platelet activating factor hydrolase (PAFase from ICOS Corp.); and

(h) use of modulators of the coagulation cascade (such as various versions of heparin).

Alternatively, similar methods may be employed to identify new polymorphisms in protein C sequence that correlate with patient outcome or prognosis.

As described above genetic sequence information or genotype information may be obtained from a patient wherein the sequence information contains one or more single nucleotide polymorphism sites in the protein C gene. Also, as previously described the sequence identity of one or more single nucleotide polymorphisms in the protein C gene of one or more patients may then be detected or determined. Furthermore, patient outcome or prognosis may be assessed as described above, for example the APACHE II scoring system or the Brussels score may be used to assess patient outcome or prognosis by comparing patient scores before and after treatment. Once patient outcome or prognosis has been assessed, patient outcome or prognosis may be correlated with the sequence identity of a single nucleotide polymorphism(s). The correlation of patient outcome or prognosis may further include statistical analysis of patient outcome scores and polymorphism(s) for a number of patients.

Example 1

Patient Outcome or Prognosis in Two Populations Using the 2418 Polymorphism

(A) Population 1: Sepsis SIRS

Inclusion Criteria

All patients admitted to the Intensive Care Unit (ICU) between November 2000 and May 2001 were eligible for entry into this study. Patients were excluded if blood could not be obtained for genotype analysis.

Data Collection

Data was recorded for 28 days or until hospital discharge. Raw clinical and laboratory variables were recorded using the worst or most abnormal variable for each 24 hour period with the exception of Glasgow Coma Score, where the best possible score for each 24 hour period was recorded. Missing data on the date of admission was assigned a normal value and missing data after the day one was substituted by carrying forward the previous day's value. Demographic and microbiologic data were recorded. When data collection for each patient was complete, all patient identifiers were removed from all records and the patient file was assigned a unique random number that was cross referenced with the blood samples. The completed raw data file was converted to calculated descriptive and severity of illness scores using standard definitions (i.e. APACHE II and Days alive and free of organ dysfunction calculated using the Brussels criteria).

(B) Population 2: Non-Septic SIRS

Inclusion Criteria

Caucasian patients booked for new elective coronary artery bypass grafting requiring cardiopulmonary bypass (CPB) were included. Patients undergoing urgent or emergency CPB surgery were not included because these patients may have already been exhibiting an inflammatory response to other triggers such as shock. We did not include patients undergoing valve surgery or repeat cardiac surgery because these patients have different pre-operative pathophysiology and often have longer total surgical and CPB times.

After induction of anesthesia and placement of systemic and pulmonary artery catheter (these are routinely inserted for clinical purposes at our institution), blood was obtained prior to CPB for genotyping and for baseline TNF-α, IL-6, IL-8, and IL-10 measurements. In addition, hemodynamic measurements including mean arterial pressure, thermodiluation cardiac outcome, and right arterial pressure as well as height and weight were recorded to calculate systemic vascular resistance index. Systemic Vascular Resistance Index (SVRI) was calculated as the difference between mean arterial pressure and right arterial pressure divided by cardiac index. Blood sampling was repeated at 4 (representing peak response) and 24 hours (to determine if the response is sustained) post-operatively. Hemodynamics to calculate SVRI were measured at zero, 4 and 24 hours post-operatively.

Common Methods—Both Populations

Blood Collection and Processing

Discarded whole blood samples from both populations above, stored at 4° C., were collected from the hospital laboratory. The Buffy coat was extracted and the samples were transferred to 1.5 ml cryotubes, barcoded and cross-referenced with the unique patient number and stored at āˆ’80° C. DNA was extracted from the Buffy coat using a QIA amp DNA Maxi Kitā„¢ (QIAGEN). Patients were genotyped at āˆ’1654 (2405) and at āˆ’1641 (2418) using an RFLP strategy as described by Spek et al. (Blood Coagulation and Fibrinolysis, 5:309-311, 1994). The first PCR strategy used here introduces a BstXI restriction enzyme cut site in the PCR product when a T is present at position āˆ’1654 (2405) so that the 246 bp PCR product is cut by BstXI into fragments of 205 and 41 bp. The second PCR strategy also introduces a BstXI restriction enzyme cut site in the PCR product when a G is present at position āˆ’1641 (2418) so that the 233 bp PCR product is cut by BstXI into fragments of 193 and 40 bp. After incubation of the PCR amplified DNA with BstXI, the reaction products were then separated using gel electrophoresis.

Statistical Analysis

We compared measures of disease severity using dominant and co-dominant models. We tested for differences between genotype groups using ANOVA for continuous data and a Fisher exact test for discrete data.

Population 1, Septic SIRS—Results

Eighty-one consecutive Caucasian patients admitted to our ICU with SIRS were included in this study. 46.9% of patients were AA homozygotes, 38.3% of patients were AG heterozygotes, and 14.8% of patients were GG homozygotes. The frequency of the A allele was 66% and the frequency of the G allele was 34% and these alleles were in Hardy Weinberg equilibrium in our population. Table 2 shows that there were no significant differences in baseline characteristics between AA, AG, and GG groups. Patients were of similar age, similar sex distribution, had similar admitting APACHE II. Approximately 40% of these patients had sepsis on admission and 10% of these patients had septic shock on admission. Eight percent of these patients developed sepsis at some time during their ICU stay and 45% of these patients developed septic shock at some time during their hospital stay.

TABLE 2
Sepsis SIRS patients baseline characteristics
Baseline Characteristics
Genotype Sex Sepsis on S Shock Sepsis S Shock
āˆ’1641 (2418) Age % Male Apache II Admission Admission Anytime Anytime
A A 58 ± 17 55% 19 ± 9 45% 11% 84% 46%
A G 56 ± 15 62% 17 ± 7 35%  3% 81% 34%
G G 52 ± 16 67%  20 ± 11 42% 17% 75% 50%
P (AA vs 0.34 0.75 0.47 0.49 0.58 0.98 0.64
AG + GG)

Measurements of days alive and free of SIRS and organ failure suggested a co-dominant effect of allele A. Patients with the A allele demonstrated fewer days alive and free of SIRS (Table 3), DAF acute lung injury and DAF cardiovascular failure (Table 3). Interestingly there was also a significant difference in DAF of the use of steroids. The use of steroids is made on a case by case basis by physicians in our intensive care unit in general and are employed more frequently in patients deemed to have severe sepsis and septic shock. In addition we also noted that the A allele was associated with significantly fewer DAF vasopressors. In addition trends towards adverse outcome or prognosis associated with the A allele were noticed in DAF hepatic failure, DAF renal failure, DAF CNS failure, and DAF International Normalized Ratio (INR)>1.5 (Table 4).

TABLE 3
Sepsis SIRS population: DAF SIRS and Key Organ Failure
Key Differences
Genotype DAF DAF DAF DAF DAF DAF
āˆ’1641 (2418) SIRS 4/4 SIRS 3/4 Steroids ALI CVS Pressors
A A  17.6 ± 10.8 13.6 ± 11.3 12.1 ± 11.9 16.8 ± 12.5  17.9 ± 11.8 16.5 ± 11.5
A G 22.0 ± 9.8 17.6 ± 10.5 19.0 ± 11.5 20.4 ± 10.6 21.8 ± 9.8 21.1 ± 10.2
G G 26.1 ± 3.0 22.1 ± 7.4  23.8 ± 9.8  25.5 ± 4.3  26.8 ± 1.4 25.2 ± 2.7 
p (AA vs 0.013 0.027 0.002 0.044 0.022 0.014
AG + GG)

TABLE 4
Sepsis SIRS Population: DAF Other Organ Failures
Other Results
Genotype-1641 DAF DAF DAF DAF
(2418) Hepatic Renal CNS INR > 1.5
A A  17.3 ± 12.0 17.1 ± 11.9 18.5 ± 11.6 18.7 ± 11.5
A G 20.9 ± 9.6 19.3 ± 11.6 21.3 ± 11.2 19.8 ± 10.7
G G 24.3 ± 7.8 20.3 ± 10.0 25.6 ± 5.7  22.8 ± 9.4 
p 0.056 0.337 0.102 0.424
(AA vs
AG + GG)

Most significantly, the A allele was associated with decreased survival (FIG. 1). Patients with the AA genotype had a survival of 58%, those with the AG genotype had a 74% survival, and those with a GG genotype had a 100% survival rate (P<0.017). Thus the protein C āˆ’1641 (2418) A allele was associated with decreased survival, more SIRS, worse cardiovascular and respiratory failure and trends to worse failure in other organ systems.

Population 2, Non-Septic SIRS—Results

To confirm these observations and to test for evidence of biological plausibility of the hypothesis that protein C āˆ’1641 (2418) A allele is associated with worse SIRS we turned to an independent population. We chose to study 61 Caucasian patients following cardiopulmonary bypass (CPB) surgery. CPB is associated with an inflammatory response that fulfills the definition of SIRS and is correlated with increased inflammatory cytokine expression post-CPB. In this population of 61 Caucasians we found 24 patients of AA genotype, 28 patients of a GG genotype, and 9 patients with GG genotype resulting in an A allele frequency of 62% and G allele frequency of 38%. This population was also in Hardy Weinberg equilibrium. At the preoperative baseline there were no significant differences in age, sex distribution, smokers, diabetes, presence of hypertension, preoperative ejection fraction, bypass time, cross-clamp time, and Aprotinin use (Table 5).

TABLE 5
CPB SIRS: Baseline Characteristics
Genotype
AA AG and GG p value
Age 66.9 ± 12.1 65.5 ± 8.6 0.60
Sex (% Male) 79% 70% 0.45
Smokers 17% 22% 0.38
Diabetes 21% 22% 0.94
Hypertension 50% 57% 0.61
Pre-op EF    56 ± 13%     53 ± 15% 0.44
Bypass time 109 ± 43  106 ± 39 0.81
X clamp time 82 ± 36  79 ± 38 0.76
Aprotinin use 13% 11% 0.84

Post-operatively 64% of patients with the AA genotype developed an SVRI less than 1500 at least once during first 24 hours while only 50% of other patients developed an SVRI less than 1500. The presence of two consecutive SVRI measurements less than 1500 within the first 24 hours occurred in 32% of patients with the AA genotype and only 19% of other patients (p<0.03). SVRI at 1 hour post CVB was reduced in patients with the AA genotype due to a greater reduction in mean arterial pressure (p<0.05) and greater increase in cardiac index at 1 hour post CPB (FIG. 2). The additional observation of a significantly greater use of vasopressors in patients with the AA genotype at one hour post CPB further amplifies the clinical significance of the excessive vasodilation in patients with the AA genotype post CPB. In addition, arterial oxygen saturation was significantly reduced in patients with the AA genotype over the first 24 hours post CPB (FIG. 3).

Patients with the AA genotype had significantly greater serum IL-6 concentrations at 4 and 24 hours post CPB (Table 6). This was associated with trends towards greater increases in TNF-α, IL-8 and especially IL-10 at 4 and 24 hours post CPB. Thus, the protein C āˆ’1641 (2418) A allele was associated with more SIRS as indicated by a lower SVRI, increased pro-inflammatory cytokine response, and worse cardiovascular and respiratory failure post CPB, analogous to those findings in the critically ill SIRS patients.

TABLE 6
CPB SIRS: Post CPB Cytokine Expression
Cytokines
(pg/mL, Mean ± SE)
AA AG and GG p value
TNFα 4 h 118 ± 45 78 ± 26 0.41
TNFα 24 h 118 ± 45 79 ± 24 0.43
IL-6 4 h 1901 ± 795 713 ± 148 0.08
IL-6 24 h  675 ± 154 360 ± 58  0.04
IL-8 4 h 133 ± 47 121 ± 35  0.84
IL-8 24 h 119 ± 52 87 ± 29 0.57
IL-10 4 h 119 ± 53 42 ± 15 0.10
IL-10 24 h 108 ± 54 19 ± 7  0.06

Example Summary

Protein C āˆ’1641 (2418) A allele is associated with greater evidence of SIRS and severe cardiovascular and respiratory dysfunction in a critically ill SIRS population and in a post CPB SIRS population. The critically ill SIRS population demonstrates that severe SIRS in the patients with the AA genotype was associated with more severe SIRS and more cardiovascular and respiratory failure (including more acute lung injury, more use of vasopressors, more use of steroids), but also in trends to additional organ system dysfunction and importantly, to decreased survival. These observations were confirmed in an analogous but completely independent SIRS population of critically ill patients. In the CPB population SIRS was induced by cardiac surgery and the cardiopulmonary bypass procedure itself without evidence of infection. Evidence for increased SIRS in those patients having the AA genotype in this population is provided by the observation of greater reduction in SVRI and mean arterial pressure (MAP) and greater vasopressor use at 1 hour post CPB as well as increased inflammatory cytokine expression. The increased inflammatory cytokine expression also provides evidence of biological plausibility in that these cytokines were chosen to be representative of an acute inflammatory response, TNF-α, and integrated inflammatory response (IL-6), chemokine expression associated with lung injury (IL-8), and the counter regulatory anti-inflammatory response (IL-10).

Critically ill patients with the āˆ’1641 (2418) A allele had significantly worse outcomes as indicated by lower survival, more SIRS, more severe cardiovascular and respiratory failure, and trends to more severe hepatic renal (p=0.056), neurologic, and coagulation dysfunction. The poor clinical phenotype of the patients who had the āˆ’1641 (2418) A allele was also associated with greater use of corticosteroids. It is suspected that the reason for increased use of corticosteroids, is that the clinicians judged that there was a greater need for steroid treatment for severe shock and possibly prolonged respiratory failure. The markedly decreased survival in patients who had the āˆ’1641 (2418) A allele is more pronounced than the associated survival associations of most other polymorphisms studied to date in the critically ill.

In summary, the āˆ’1641 (2418) A allele is associated with more severe outcomes in the critically ill for both population 1—Septic SIRS and population 2—Non-Septic SIRS, as compared to the āˆ’1641 (2418) G allele. Patients with the āˆ’1641 (2418) A allele generally showed lower survival, more severe SIRS, and more severe cardiovascular and respiratory failure, more severe organ dysfunction, as compared to the āˆ’1641 (2418) G allele patients. Therefore, the āˆ’1641 (2418) protein C promoter polymorphism has diagnostic and prognostic use in the critically ill and in patients who are selected for elective CPB and other major surgeries.

Example 2

Patient Outcome or Prognosis in Two Populations Using the 2405 Polymorphism

Similarly, patients in the above populations were also genotyped at position āˆ’1654 (2405) using the RFLP strategy described above. The āˆ’1654 (2405) C and T alleles were found not to be associated with patient prognosis or outcome in either the critically ill patients in population 1—Septic SIRS or in population 2—Non-Septic SIRS, as compared to the āˆ’1641 (2418) alleles. CC genotype had a survival of 63%, those with the CT genotype had a 71% survival, and those with a TT genotype had a 61% survival rate (P<NS). Therefore, the āˆ’1654 (2405) protein C promoter polymorphism does not appear to have diagnostic and prognostic use in the critically ill and in patients who are selected for elective CPB and other major surgeries.

Example 3

2583 and 2322 Polymorphisms

Similarly the 2322 polymorphism was tested and was found to have no association of genotype with survival; genotype AA had 64% 28 day survival, AG had 72% 28 day survival, and GG had 63% 28 day survival (p NS). In addition, although the 2583 polymorphism was not tested as above, this polymorphism is in total linkage disequilibrium with 2418 as well as with polymorphisms at 1386, 3920, and other combinations of SNPs. For example, the combinations of polymorphisms at 5867+2405 and polymorphisms at 5867+4956 are also linked to 2418. Because these polymorphisms are in linkage disequilibrium with 2418, they show association of genotype with survival, organ dysfunction and a patients ability to respond to subsequent treatment, for example with steroids or vasopressors.

Although the foregoing invention has been described in some detail by way of illustration and example for purposes of clarity of understanding, it will be readily apparent to those of skill in the art in light of the teachings of this invention that changes and modification may be made thereto without departing from the spirit or scope of the appended claims. All patents, patent applications and publications referred to herein are hereby incorporated by reference.

Claims

What is claimed is:

1. A method for determining a prognosis for a human subject having, or at risk of developing, an inflammatory condition, the method comprising determining a genotype of said human subject at a polymorphic site in the subject's protein C gene at position 1386, 2583 or 3920 in SEQ ID NO: 1, wherein said genotype is indicative of the subject's ability to recover from the inflammatory condition which is SIRS, sepsis or septic shock, and wherein the relationship between the nucleotides at positions 1386, 2583 or 3920 and the prognosis for recovering from SIRS, sepsis or septic shock is as follows:

(a) for SIRS, sepsis, or septic shock:

(i) sense strand 1386TT homozygote or antisense strand 1386AA homozygote is prognostic of a decreased ability to recover;

(ii) sense strand 1386CC homozygote or antisense strand 1386GG homozygote is prognostic of an increased ability to recover;

(iii) sense strand 2583AA homozygote or antisense strand 2583TT homozygote is prognostic of a decreased ability to recover;

(iv) sense strand 2583TT homozygote or antisense strand 2583AA homozygote is prognostic of an increased ability to recover;

(v) sense strand 3920TT homozygote or antisense strand 3920AA homozygote is prognostic of a decreased ability to recover; and

(vi) sense strand 3920CC homozygote or antisense strand 3920GG homozygote is prognostic of an increased ability to recover;

(b) for septic SIRS:

(i) sense strand 1386TC heterozygote or antisense strand 1386AG heterozygote is prognostic of an increased ability to recover compared to that of the 1386TT homozygote and a decreased ability to recover compared to that of the 1386CC homozygote;

(ii) sense strand 2583AT heterozygote or antisense strand 2583TA heterozygote is prognostic of an increased ability to recover compared to that of the 2583AA homozygote and a decreased ability to recover compared to that of the 2583TT homozygote; and

(iii) sense strand 3920TC heterozygote or antisense strand 3920AG heterozygote is prognostic of an increased ability to recover compared to that of the 3920TT homozygote and a decreased ability to recover compared to that of the 3920CC homozygote.

2. The method of claim 1, further comprising determining the sequence of protein C of the human subject.

3. The method of claim 1, wherein the genotype is determined using a nucleic acid sample from the human subject.

4. The method of claim 3, which further comprises the step of obtaining the nucleic acid sample from the human subject.

5. The method of claim 1, wherein said genotype is determined using one or more of the following techniques:

(a) restriction fragment length analysis;

(b) sequencing;

(c) hybridization;

(d) oligonucleotide ligation assay;

(e) ligation rolling circle amplification;

(f) 5′ nuclease assay;

(g) polymerase proofreading methods; and

(h) allele specific PCR.

6. The method of claim 1, wherein the human subject is critically ill, and has a genotype prognostic of a decreased ability of recover from SIRS, sepsis or septic shock and from severe cardiovascular or respiratory dysfunction present in SIRS, sepsis or septic shock.

7. The method of claim 1, wherein the human subject is critically ill, and has a genotype prognostic of an increased ability of recover from SIRS, sepsis or septic shock and from mild cardiovascular or respiratory dysfunction present in SIRS, sepsis or septic shock.

8. The method of claim 1, wherein the inflammatory condition is SIRS.

9. The method of claim 1, wherein the inflammatory condition is sepsis.

10. The method of claim 1, wherein the inflammatory condition is septic shock.

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