Objective
To explore the effect of single nucleotide polymorphisms (SNPs) of interleukin-35 (IL-35) gene and its relationship with environment on the risk of coronary heart disease (CHD).
Methods
Prior to the analysis, we performed hardy Weinberg equilibrium test on the control group. The relationship between the four SNPs of IL-35 gene and the risk of coronary heart disease was studied by multivariate logistic regression. The best interaction was identified with generalized multifactor dimensionality reduction (GMDR). Logistic regression was used for investigation on association between four SNPs and CHD risk.
Results
Logistic regression analysis showed that the C allele of rs428253 and the G allele of rs2243115 were independently correlated with increased risk of CHD, and adjusted ORs (95%CI) were 1.91 (1.28–2.64) and 1.80 (1.30–2.23), respectively. However, there was no significant association between CHD and rs4740 or rs568408. GMDR model, indicated the best model for CHD risk consisted of rs428253 and current smoking, which scored 10/10 for both the sign test and cross-validation consistency (P = 0.010). Therefore, this overall multi-dimensional model had the highest cross-validation consistency, regardless of how the data were divided. This provided an evidence of gene-environment interaction effects. We also found that current smokers with rs428253 - GC/ CC genotype have the highest CHD risk, compared to subjects with never smokers with rs428253 - GG genotype, OR (95%CI) = 3.04 (1.71–4.41), after adjustment for age, gender, hypertension, T2DM and alcohol consumption status.
Conclusions
In this study, the C allele of rs428253 and the G allele of rs2243115, and the interaction rs428253 and current smoking were correlated with increased risk of CHD.