CYP4A22 基因中与冠心病易感性相关的新型多态性。

Novel polymorphisms in CYP4A22 associated with susceptibility to coronary heart disease.

机构信息

Department of cardiovascular medicine, Central South University Xiangya School of Medicine Affiliated Haikou Hospital, No. 43, Renmin Avenue, Haidian Island, 570100, Haikou, Hainan, China.

Medical College, Jingchu University of Technology, Jingmen, Hubei, China.

出版信息

BMC Med Genomics. 2024 Mar 4;17(1):66. doi: 10.1186/s12920-024-01833-7.

DOI:10.1186/s12920-024-01833-7

PMID:38438909

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10913669/

Abstract

BACKGROUND

Coronary heart disease (CHD) has become a worldwide public health problem. Genetic factors are considered important risk factors for CHD. The aim of this study was to explore the correlation between CYP4A22 gene polymorphism and CHD susceptibility in the Chinese Han population.

METHODS

We used SNPStats online software to complete the association analysis among 962 volunteers. False-positive report probability analysis was used to confirm whether a positive result is noteworthy. Haploview software and SNPStats were used for haplotype analysis and linkage disequilibrium. Multi-factor dimensionality reduction was applied to evaluate the interaction between candidate SNPs.

RESULTS

In overall and some stratified analyses (male, age ≤ 60 years or CHD patients complicated with hypertension), CYP4A22-rs12564525 (overall, OR = 0.83, p-value is 0.042) and CYP4A22-rs2056900 (overall, OR = 1.22, p-value is 0.032) were associated with the risk of CHD. CYP4A22-4926581 was associated with increased CHD risk only in some stratified analyses. FPRP indicated that all positive results in our study are noteworthy findings. In addition, MDR showed that the single-locus model composed of rs2056900 is the best model for predicting susceptibility to CHD.

CONCLUSION

There are significant associations between susceptibility to CHD and CYP4A22 rs12564525, and rs2056900.

摘要

背景

冠心病（CHD）已成为全球性的公共卫生问题。遗传因素被认为是 CHD 的重要危险因素。本研究旨在探讨 CYP4A22 基因多态性与中国汉族人群 CHD 易感性的相关性。

方法

我们使用 SNPStats 在线软件完成了 962 名志愿者的关联分析。假阳性报告概率分析用于确认阳性结果是否值得关注。Haploview 软件和 SNPStats 用于单倍型分析和连锁不平衡。多因素降维用于评估候选 SNP 之间的相互作用。

结果

在总体和一些分层分析（男性、年龄≤60 岁或 CHD 患者合并高血压）中，CYP4A22-rs12564525（总体，OR=0.83，p 值为 0.042）和 CYP4A22-rs2056900（总体，OR=1.22，p 值为 0.032）与 CHD 风险相关。CYP4A22-4926581 仅在一些分层分析中与 CHD 风险增加相关。FPRP 表明，我们研究中的所有阳性结果都是值得关注的发现。此外，MDR 表明，由 rs2056900 组成的单基因座模型是预测 CHD 易感性的最佳模型。