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To assess the association of CYP2C19 and CYP3A5 gene polymorphisms with the risk of myocardial infarction. Five hundred patients with myocardial infarction and 500 healthy controls were randomly selected. Fluorescent PCR and Sanger sequencing were used to detect the CYP2C19 and CYP3A5 gene polymorphisms. Logistic regression was used to analyze the correlation between the polymorphisms and myocardial infarction. Quanto software was used to evaluate the statistical power. The two groups had significant difference in the frequency of AG, GG genotypes and A allele of the CYP2C19 gene rs4986893 locus and the AA, AG, GG genotypes and G allele of the CYP3A5 gene rs776746 locus ( P<0.05), but not in the frequency of genotypes and alleles of CYP2C19 gene rs4244285 and rs12248560 loci, and the AA genotype of the rs4986893 locus. After correction for age, gender, and body mass index, Logistic regression indicated that the AG genotype and A allele of the CYP2C19 gene rs4986893 locus, and the GG genotype and G allele of CYP3A5 gene rs776746 locus are associated with susceptibility of myocardial infarction, while rs4986893 GG genotype and AA and AG genotypes of rs776746 may confer a protective effect. Based on the sample size and allele frequency, analysis with Quanto software suggested that the result of this study has a statistical power of 99%. CYP2C19 and CYP3A5 gene polymorphisms may increase the risk for myocardial infarction.


Lin Qi, Wei Liang, Hui Qiao, Ruimin Wang, Jingxian Han, Xiaofei Xing, Yuwei Hu. Association of CYP2C19 and CYP3A5 gene polymorphisms with myocardial infarction]. Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics. 2021 Jan 10;38(1):87-91

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PMID: 33423267

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