RESUMO
METHODS: We collected 732 samples from Liaoning Province, China, and three polymorphisms in long noncoding RNA H19 were genotyped using the KASP platform. RESULTS: Our data showed that H19 rs2735971 and rs3024270 variant genotypes were associated with a decreased risk of CAD (rs2735971, P = 0.003, odds ratio (OR) = 0.6195, 95% confidence interval = 0.44 - 0.84; rs3024270, P = 0.030, OR = 0.65, 95% confidence interval = 0.44 - 0.96). No significant association with the risk of CAD was found for H19 rs2839698 polymorphism (P > 0.05). In haplotype analysis, H19 polymorphisms of rs2735971-rs2839698-rs3024270 A-C-C haplotype reduced the risk of CAD by 0.61-fold (P = 0.004, OR = 0.61, 95% confidence interval = 0.43-0.86). In addition, we found that rs2839698 interacted with smoking (P interaction = 0.027), and according to multifactor dimensionality reduction analysis, the three-factor model including H19 rs2839698-smoking-drinking was the best model for the risk of CAD (testing balanced accuracy = 0.6979). CONCLUSION: Our study demonstrated that some genotypes of H19 rs2735971 and rs3024270 polymorphisms, as well as rs2735971-rs2839698-rs3024270 A-C-C haplotype, were associated with the risk of CAD in a Chinese population, and these genotypes have the potential to be biomarkers for predicting CAD risk. We also found that rs2735971-rs2839698-rs3024270 A-C-C may have a significantly lower risk of CAD. The recessive genetic model of rs3024270 could predict the severity of CAD.