Roles of Single Nucleotide Polymorphisms of Gene in Patients with Coronary Artery Disease.

Background: This study aims to investigate the association between nine tag single nucleotide polymorphisms (SNPs) in the gene locus and the risk of coronary artery disease (CAD) as well as lipid levels in the Chinese population, and to further explore the interactions between SNPs and environmental factors that may be associated with CAD risk.

Methods: A case-control study was conducted to investigate the association between CAD and gene polymorphisms in a hospital setting. The study consisted of 944 CAD patients with a mean age of 55.97 10.182 years and 897 non-CAD controls with a mean age of 55.94 9.162 years. There were 565 males and 288 females in the CAD group and 583 males and 314 females in the control group. TagSNPs in the gene were identified by employing the improved multiplex ligation detection reaction (iMLDR) technique, and multifactor dimensionality reduction (MDR) analysis was utilized to investigate the gene-environment and gene-gene interactions in relation to the risk of CAD.

Results: Results of the polymorphism study indicated that the genotype of was more frequent in the CAD group compared to the control group (10.9% vs 7.7%), with a statistically significant difference ( = 0.009). Moreover, the and genotype groups of in the CAD subgroup showed a significant difference in terms of serum triglyceride levels (2.326 1.889 vs 2.059 1.447, = 0.019). Analysis of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein A (ApoA), and apolipoprotein B (ApoB) levels revealed no significant differences between the and genotypes. Furthermore, no significant differences in serum lipid levels were observed between genotypes of the other SNPs. Multivariable logistic analysis, controlling for gender, age, body mass index (BMI), triglycerides (TG), TC, HDL-C, LDL-C, ApoA and ApoB, demonstrated that was still an independent risk factor of CAD (OR = 1.499, 95% CI: 1.036-2.168, = 0.032). MDR analysis revealed that the interacted significantly with environmental factors such as smoking, diabetes, hypertension, BMI, and TG ( 0.05).

Conclusions: The variation of the gene could be linked to both lipid balance and the risk of CAD. It is conceivable that the interplay between polymorphisms and environmental elements could account for the etiology of CAD.