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A Novel Polymorphism in the Promoter of the Gene Is Associated with Susceptibility to Coronary Artery Disease

Overview
Journal Dis Markers
Publisher Wiley
Specialty Biochemistry
Date 2018 Feb 28
PMID 29484037
Citations 19
Authors
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Abstract

Enzymes CYP4A11 and CYP4F2 are involved in biosynthesis of vasoactive 20-hydroxyeicosatetraenoic acid and may contribute to pathogenesis of coronary artery disease (CAD). We investigated whether polymorphisms of the and genes are associated with the risk of CAD in Russian population. DNA samples from 1323 unrelated subjects (637 angiographically confirmed CAD patients and 686 age- and sex-matched healthy individuals) were genotyped for polymorphisms rs3890011, rs9332978, and rs9333029 of and rs3093098 and rs1558139 of by using the Mass-ARRAY 4 system. SNPs rs3890011 and rs9332978 of were associated with increased risk of CAD in women: OR = 1.26, 95% CI: 1.02-1.57, = 0.004, and = 0.01 and OR = 1.45, 95% CI: 1.13-1.87, = 0.004, and = 0.01, respectively. Haplotype G-C-A of was associated with increased risk of CAD (adjusted OR = 1.41, 95% CI: 1.12-1.78, and = 0.0036). Epistatic interactions were found between rs9332978 of and rs1558139 of ( = 0.025). In silico analysis allowed identifying that SNP rs9332978 is located at a binding site for multiple transcription factors; many of them are known to regulate the pathways involved in the pathogenesis of CAD. This is the first study in Europeans that reported association between polymorphism rs9332978 of and susceptibility to coronary artery disease.

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References
1.
Fu Z, Nakayama T, Sato N, Izumi Y, Kasamaki Y, Shindo A . Haplotype-based case-control study of CYP4A11 gene and myocardial infarction. Hereditas. 2012; 149(3):91-8. DOI: 10.1111/j.1601-5223.2012.02247.x. View

2.
Fitzpatrick F, Murphy R . Cytochrome P-450 metabolism of arachidonic acid: formation and biological actions of "epoxygenase"-derived eicosanoids. Pharmacol Rev. 1988; 40(4):229-41. View

3.
Roman R . P-450 metabolites of arachidonic acid in the control of cardiovascular function. Physiol Rev. 2002; 82(1):131-85. DOI: 10.1152/physrev.00021.2001. View

4.
Ward N, Tsai I, Barden A, Bockxmeer F, Puddey I, Hodgson J . A single nucleotide polymorphism in the CYP4F2 but not CYP4A11 gene is associated with increased 20-HETE excretion and blood pressure. Hypertension. 2008; 51(5):1393-8. DOI: 10.1161/HYPERTENSIONAHA.107.104463. View

5.
Sole X, Guino E, Valls J, Iniesta R, Moreno V . SNPStats: a web tool for the analysis of association studies. Bioinformatics. 2006; 22(15):1928-9. DOI: 10.1093/bioinformatics/btl268. View