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>G, 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 × 10^?4, OR = 6.3 CI 2.37–16.75), LTA*A + IL6*G/G (FDR = 2.3 × 10^?4, 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).