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Publication details
Genotype/allelic combinations as potential predictors of myocardial infarction
Authors | |
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Year of publication | 2016 |
Type | Article in Periodical |
Magazine / Source | MOLECULAR BIOLOGY REPORTS |
MU Faculty or unit | |
Citation | |
Doi | http://dx.doi.org/10.1007/s11033-015-3933-3 |
Keywords | Myocardial infarction; Risk prediction; Genetic testing |
Description | In order to find new informative predictors of myocardial infarction, we performed an analysis of genotype frequencies of polymorphic markers of SELE (rs2076059, 3832T > C), SELP (rs6131, S290 N), SELL (rs1131498, F206L), ICAM1 (rs5498, K469E), VCAM1 (rs3917010, c.928 + 420A > C), PECAM1 (rs668, V125L), VEGFA (rs35569394, -2549(18)I/D), CCL2 (rs1024611, -2518A > G), NOS3 (rs1799983, E298D), and DDAH1 (rs669173, c.303 + 30998A > G) genes in the group of Russian men with myocardial infarction (N = 315) and the control group of corresponding ethnicity, gender, and age (N = 286). Using Markov chain Monte-Carlo method (APSampler), we found genotype combinations associated with increased and decreased risk of myocardial infarction. The most significant associations were detected for PECAM1*V/V + DDAH1*C (OR = 4.17 CI 1.56-11.15 P-perm = 0.005) SELE*C + VEGFA*I + CCL2*G + VCAM1*A + NOS3*D (OR = 2.74 CI 1.66-4.52 P-perm = 2.09 x 10(-5)), and VEGFA*D/D + CCL2*A + DDAH1*C (OR = 0.44 CI 0.28-0.7 P-perm = 7.89 x 10(-5)) genotype combinations. |