Abstract
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 (Pinteraction = 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.
Highlights
Coronary artery disease (CAD) is a major health problem, with high morbidity and mortality around the world [1]
Genetic factors account for about 50% of the susceptibility to CAD according to a genomewide association study (GWAS), which established the important role of genetic influences in CAD [3,4,5]
Our study showed that rs2735971 polymorphism significantly reduced the risk of CAD in different genetic models, suggesting that it could be a protective factor against CAD. rs2839698 is a C/T variation within the exon region
Summary
Coronary artery disease (CAD) is a major health problem, with high morbidity and mortality around the world [1]. Reports of cardiovascular diseases in China in 2017 [2] show that CAD is still on the rise. 11 million Chinese people have CAD, and 3.4 million will die of the disease in the 20 years. CAD is a multifactorial disease with modifiable and nonmodifiable risk factors. Genetic factors account for about 50% of the susceptibility to CAD according to a genomewide association study (GWAS), which established the important role of genetic influences in CAD [3,4,5]. Long noncoding RNAs (lncRNAs) are important members of the noncoding RNA family and have become a hot topic in the field of life science research in recent
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