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Genotype/allelic combinations as potential predictors of myocardial infarction

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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.

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Acknowledgments

The study was supported with the equipment provided by USC “Complex equipment for the study of nucleic acids—KODINC”.

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Authors and Affiliations

  1. Institute of Biochemistry and Genetics, Ufa Scientific Centre, Russian Academy of Sciences, Ufa, Russian Federation

    Timur R. Nasibullin, Yanina R. Timasheva, Regina I. Sadikova, Ilsiyar A. Tuktarova, Vera V. Erdman & Olga E. Mustafina

  2. Republic Centre for Cardiology, Ufa, Russian Federation

    Irina E. Nikolaeva

  3. Department of Medical Physics and Biophysics, Faculty of Medicine, Pavol Jozef Safarik University, Trieda SNP 1, 040 11, Kosice, Slovak Republic

    Jan Sabo & Peter Kruzliak

  4. 2nd Department of Internal Medicine, Faculty of Medicine, Masaryk University, Brno, Czech Republic

    Peter Kruzliak

  5. Department of Pharmacology and Toxicology, Faculty of Pharmacy, Comenius University, Bratislava, Slovak Republic

    Peter Kruzliak

Authors
  1. Timur R. Nasibullin
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  2. Yanina R. Timasheva
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  3. Regina I. Sadikova
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  4. Ilsiyar A. Tuktarova
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  5. Vera V. Erdman
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  6. Irina E. Nikolaeva
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  7. Jan Sabo
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  8. Peter Kruzliak
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  9. Olga E. Mustafina
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Correspondence to Peter Kruzliak.

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Authors declare no conflict of interest.

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Timur R. Nasibullin and Yanina R. Timasheva have co-first authorship to this work.

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Nasibullin, T.R., Timasheva, Y.R., Sadikova, R.I. et al. Genotype/allelic combinations as potential predictors of myocardial infarction. Mol Biol Rep 43, 11–16 (2016). https://doi.org/10.1007/s11033-015-3933-3

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  • DOI: https://doi.org/10.1007/s11033-015-3933-3

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