Aim of the study: to investigate associations of single nucleotide polymorphisms (SNP) rs499818 (6p24.1), rs619203 of ROS1 gene (6q22), rs10757278 M rs1333049 (9p21.3), rs2549513 (16q23.1), rs4804611 of ZNF627 gene (19p13.2) with myocardial infarction in subjects of young age. The group of patients with Ml (n=99) aged less than 45 years and the control group (n=111) did not differ significantly by sex (p=0,617), age (p=0.291), arterial hypertension (p=0.766), diabetes mellitus (p=0.395), hypercholestolemia (p=0.696), excessive body mass and obesity (p=0.361), abdominal obesity (p=0.831) and history of smoking (p=0.400). There was significant difference between groups by burdened heredity (p<0.001). Genomic DNA was obtained from venous blood by phenol-chloroform extraction. Genetic testing was performed by real time polymerase chain reaction using 7900HT Fast Real-Time PCR System according to manufacturer's protocol. We found significant association between rs1333049 and rs10757278 and myocardial infarction (MI). Odds ratio (OR) of development of Ml in carriers of risk allele C rs1333049 was 2.4 (95% confidence interval [Cl] 1.24 to 4.65), in carriers of G rs10757278 allele - 2.00 (95%Cl 1.05 to 3.80). Association of risk alleles C rs 1333049 and G rs10757278 with Ml remained significant after adjustment for burdened family history (OR 4.25, 95%Cl 1.39 to 12.99, and OR 3.04, 95%Cl 1.09 to 8.52, respectively). Presence in the genotype of both risk alleles C rs1333049 and G rs10757278 was associated with OR of Ml development 2.40 (95%Cl 1.20 to 4.82) which was not different from that associated with carriage of allele C rs1333049 only. Possibly in our population both SNPs belong to one linkage block and correspondingly it is sufficient to genotype one SNP. No significant associations with Ml were found for variants rs4804611, rs2549513, rs499818, rs619203. SNPs rs1333049 and rs10757278 of 9p21.3 locus are predictors of Ml in young individuals not dependent on both traditional risk factors and presence of burdened family history.
CITATION STYLE
Shesternya, P. A., Nikulina, S. Y., Shulman, V. A., Martynova, E. A., Demkina, A. I., Orlov, P. S., … Voevoda, M. I. (2013). Genetic predictors of myocardial infarction in subjects of young age. Kardiologiya, 53(7), 4–8.
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