Genotype/allelic combinations as potential predictors of myocardial infarction

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 Pperm = 0.005) SELE*C + VEGFA*I + CCL2*G + VCAM1*A + NOS3*D (OR = 2.74 CI 1.66-4.52 Pperm = 2.09 × 10−5), and VEGFA*D/D + CCL2*A + DDAH1*C (OR = 0.44 CI 0.28-0.7 Pperm = 7.89 × 10−5) genotype combinations.