| Literature DB >> 26662939 |
Timur R Nasibullin1, Yanina R Timasheva1, Regina I Sadikova1, Ilsiyar A Tuktarova1, Vera V Erdman1, Irina E Nikolaeva2, Jan Sabo3, Peter Kruzliak4,5,6, Olga E Mustafina1.
Abstract
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.Entities:
Keywords: Genetic testing; Myocardial infarction; Risk prediction
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Year: 2015 PMID： 26662939 DOI： 10.1007/s11033-015-3933-3
Source DB: PubMed Journal: Mol Biol Rep ISSN： 0301-4851 Impact factor: 2.316