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The effect of nine common polymorphisms in coagulation factor genes (F2, F5, F7, F12 and F13 ) on the effectiveness of statins: the GenHAT study.

ABSTRACT: BACKGROUND:Pharmacogenetic research has shown that genetic variation may influence statin responsiveness. Statins exert a variety of beneficial effects beyond lipid lowering, including antithrombotic effects, which contribute to the risk reduction of cardiovascular disease. Statins have been shown to influence the expression of coagulation factors II, V, VII, XII and XIII. AIM:Data from a large randomized clinical trial of pravastatin, designed to show efficacy relative to usual care, were used to investigate whether a pharmacogenetic effect of polymorphisms in genes coding for coagulation factors II, V, VII, XII and XIII is associated with reduced fatal coronary heart disease (CHD) and nonfatal myocardial infarction, combined CHD and all-cause mortality. METHODS:The Genetics of Hypertension Associated Treatment is an ancillary study of the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial. The genotyped population in the lipid-lowering trial of Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial included 9624 participants randomly assigned to pravastatin or to usual care. The efficacy of pravastatin in reducing risk of all-cause mortality, CHD and nonfatal myocardial infarction and combined CHD, was compared among genotype strata by examining an interaction term in a proportional hazards model. RESULTS:None of the polymorphisms were associated with the clinical outcomes. For the F7 (-323) ins/del polymorphism there was no interaction with pravastatin for either outcome. For both the F5 Arg506Gln G>A (rs6025) polymorphism and F7 Arg353Gln G>A (rs6046) polymorphism there were no interactions with pravastatin in relation to all-cause mortality, but there were significant interactions with combined CHD [interaction hazard ratio = 1.33, 95% confidence interval (1.01-1.76) and interaction hazard ratio = 1.92, 95% confidence interval (1.00-3.65), respectively]. There were no interactions between the polymorphisms in the other coagulation genes and pravastatin in relation to any outcome. CONCLUSION:Polymorphisms in anticoagulation genes (F5 and F7) seem to modify the efficacy of pravastatin in reducing risk of cardiovascular events.

SUBMITTER: Maitland-van der Zee AH

PROVIDER: S-EPMC2701506 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature

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The effect of nine common polymorphisms in coagulation factor genes (F2, F5, F7, F12 and F13 ) on the effectiveness of statins: the GenHAT study.

Maitland-van der Zee Anke-Hilse AH Peters Bas J M BJ Lynch Amy I AI Boerwinkle Eric E Arnett Donna K DK Cheng Suzanne S Davis Barry R BR Leiendecker-Foster Catherine C Ford Charles E CE Eckfeldt John H JH

Pharmacogenetics and genomics 20090501 5

<h4>Background</h4>Pharmacogenetic research has shown that genetic variation may influence statin responsiveness. Statins exert a variety of beneficial effects beyond lipid lowering, including antithrombotic effects, which contribute to the risk reduction of cardiovascular disease. Statins have been shown to influence the expression of coagulation factors II, V, VII, XII and XIII.<h4>Aim</h4>Data from a large randomized clinical trial of pravastatin, designed to show efficacy relative to usual c ...[more]

PMID: 19415820

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Project description:BACKGROUND: The procoagulant state in cancer increases the thrombotic risk, but also supports tumor progression. To investigate the molecular mechanisms controlling cancer and hemostasis, we conducted a case-control study of genotypic and phenotypic variables of the tissue factor (TF) pathway of coagulation in breast cancer. METHODS: 366 breast cancer patients and 307 controls were genotyped for SNPs (n?=?41) in the F2, F3 (TF), F5, F7, F10, TFPI and EPCR genes, and assayed for plasma coagulation markers (thrombin generation, activated protein C (APC) resistance, D-dimer, antithrombin, protein C, protein S, and TF pathway inhibitor (TFPI)). Associations with breast cancer were evaluated using logistic regression to obtain odds ratios (ORs) and 95% confidence intervals (CIs), or the chi-square test. RESULTS: Four SNPs in F5 (rs12120605, rs6427202, rs9332542 and rs6427199), one in F10 (rs3093261), and one in EPCR (rs2069948) were associated with breast cancer. EPCR rs2069948 was associated with estrogen receptor (ER) and progesterone receptor (PR) positivity, while the SNPs in F5 appeared to follow hormone receptor negative and triple negative patients. The prothrombotic polymorphisms factor V Leiden (rs6025) and prothrombin G20210A (rs1799963) were not associated with breast cancer. High APC resistance was associated with breast cancer in both factor V Leiden non-carriers (OR 6.5, 95% CI 4.1-10.4) and carriers (OR 38.3, 95% CI 6.2-236.6). The thrombin parameters short lag times (OR 5.8, 95% CI 3.7-9.2), short times to peak thrombin (OR 7.1, 95% CI 4.4-11.3), and high thrombin peak (OR 6.1, 95% CI 3.9-9.5) predicted presence of breast cancer, and high D-dimer also associated with breast cancer (OR 2.0, 95% CI 1.3-3.3). Among the coagulation inhibitors, low levels of antithrombin associated with breast cancer (OR 5.7, 95% CI 3.6-9.0). The increased coagulability was not explained by the breast cancer associated SNPs, and was unaffected by ER, PR and triple negative status. CONCLUSIONS: A procoagulant phenotype was found in the breast cancer patients. Novel associations with SNPs in F5, F10 and EPCR to breast cancer susceptibility were demonstrated, and the SNPs in F5 were confined to hormone receptor negative and triple negative patients. The study supports the importance of developing new therapeutic strategies targeting coagulation processes in cancer.

Dataset Information

The effect of nine common polymorphisms in coagulation factor genes (F2, F5, F7, F12 and F13 ) on the effectiveness of statins: the GenHAT study.

Publications

The effect of nine common polymorphisms in coagulation factor genes (F2, F5, F7, F12 and F13 ) on the effectiveness of statins: the GenHAT study.

Similar Datasets

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