Insomnia and Coronary Artery Diseases: A Mendelian Randomisation Study

Wen-Jia Zhang, Lingfeng Zha, Jiangtao Dong, Qianwen Chen, Jianfei Wu, T. Tang, N. Xia, Min Zhang, Jiao Jiao, Tian Xie, Chengqi Xu, X. Tu, Shaofang Nie
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引用次数: 1

Abstract

Abstract Objective: Observational studies indicate that insomnia may increase the risk of developing and/or dying from cardiovascular diseases, especially coronary artery disease (CAD). Our purpose is to explore the underlying causal relationship between genetic variants susceptible to insomnia and the risk of CAD by Mendelian randomization analysis. Methods: The study was conducted using publicly available statistical data on genetic variants identified from a genome-wide association meta-analysis of insomnia (n = 113,006 individuals) and a genome-wide association meta-analysis of CAD (n = 184,305 individuals), which consisted of both cases and non-cases. The genetic association between variants and CAD was assessed by the variants’ association with insomnia, and estimations were integrated by an inverse-variance weighted meta-analysis. Results: Among the Mendelian randomized analytical sample, 8 variants were associated with insomnia complaints and CAD. And there was no pleiotropic association with the latent confounders. In addition, in the inverse-variance weighted meta-analysis (the estimations combined from the 8 variants), the odds ratio was 1.15 (95% CI: 1.05–1.25; P = 0.002) for CAD, and in the weighted method analysis, the odds ratio was 1.14 (95% CI: 1.03–1.27; P = 0.015) for CAD. Conclusions: All of the data indicated that some valuable variants might involve in the development of CAD by leading the insomnia. Therefore, insomnia might be a causal factor for CAD, and improving the quality of sleep might be a new way for populations with insomnia to prevent CAD.
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失眠和冠状动脉疾病:孟德尔随机研究
摘要目的:观察研究表明,失眠可能会增加患心血管疾病,尤其是冠状动脉疾病(CAD)的风险。我们的目的是通过孟德尔随机化分析来探索易患失眠的遗传变异与CAD风险之间的潜在因果关系。方法:这项研究使用了从失眠(n = 113006个个体)和CAD的全基因组关联荟萃分析(n = 184305人),包括病例和非病例。变异与CAD之间的遗传相关性通过变异与失眠的相关性进行评估,并通过反向方差加权荟萃分析对估计进行整合。结果:在孟德尔随机分析样本中,有8种变异与失眠症状和CAD有关。和潜在的混杂因素并没有多效性的关联。此外,在反方差加权荟萃分析中(8个变体的估计值相结合),优势比为1.15(95%CI:1.05–1.25;P = 0.002),在加权法分析中,优势比为1.14(95%CI:1.03-1.27;P = 0.015)。结论:所有数据表明,一些有价值的变异可能通过导致失眠而参与CAD的发展。因此,失眠可能是CAD的一个原因,提高睡眠质量可能是失眠人群预防CAD的一种新方法。
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