[Combinations of cytokine gene network polymorphic markers as potential predictors of myocardial infarction].

With the intent to identify informative predictors of myocardial infarction (MI) development in an ethnically homogenous group of Russian men after MI (255 subjects) and in a corresponding control group (257 subjects), an analysis of genotype frequency distribution for polymorphic DNA markers (SNP) rs16944 (-511C>T, IL1B gene), rs1800796 (-572G>C, IL6 gene), rs1800872 (-592C>A, IL10 gene), rs3212227 (1159A<C, IL12B gene), rs1800629 (-308G>A, TNF), rs909253 (252A>C, LTA), rs767455 (36A>G, TNFRSF1A) was conducted. Using the Monte Carlo method and a Markov chain (APSampler), allele combinations associated both with decreased and increased MI risk were revealed. The most significant results were obtained for IL6*C/C (P = 3 x 10(-4), OR = 6.3 CI 2.37-16.75 10(-4)), LTA*A+IL6*G/G (FDR = 2.3, OR = 0.25 CI 0.14-0.46), LTA*G/G + IL12B*A/A (FDR = 0.0053, OR = 4.92 CI 1.8-13.33), TNF*G + LTA*G/G + TNFRSF1A*A (FDR = 0.013, OR = 4.38, CI 1.6-12.01), TNFRSF1A*G + IL10*A/A + IL12B*C (FDR = 0.016, OR = 8.79, CI 2.17-35.63), TNF*G + LTA*G?G + IL10*C (FDR = 0.0105, OR = 3.54 CI 1.55-8.09).