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睡眠与冠状动脉疾病之间的因果关系:一项孟德尔随机化研究

[Causal relationship between sleep and coronary artery disease: a Mendelian randomization study].

作者信息

Gao X, Yang X C, Meng L X, Sun H L, Wang T

机构信息

Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan 030001, China.

Department of Medical and Biological Statistics, School of Statistics, Renmin University of China, Beijing 100872, China.

出版信息

Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Apr 10;41(4):611-614. doi: 10.3760/cma.j.cn112338-20190624-00462.

Abstract

To understand the causal relationship between sleep and coronary artery disease (CAD). This study included six genome-wide association parts; five for sleep related traits[sleep duration (continuous variable), long sleep duration (binary variable), short sleep duration (binary variable), early-to-bed/up habit (known as 'morningness') and frequently insomnia] and one for CAD. Heterogeneity in dependent instrument approach was used to assess and to remove the pleiotropic instruments. Generalized summary data-based Mendelian randomization was performed to estimate the causal relationships between sleep related traits and CAD. And a conservative Bonferroni was used for statistical tests. Sleep duration was putatively causal for CAD (=0.755, 95: 0.658-0.867, =6.68E-05). Our results also indicated significant causal effects between both short sleep duration and frequently insomnia on CAD, with s as 4.251 (95: 2.396-7.541, =7.51E-07) and 1.814 (95: 1.346-2.446, =9.25E-05), respectively. There was no convincing evidence of causality between long sleep duration or morningness with CAD. Our findings suggested that both sleep duration and frequently insomnia played causal roles on CAD, indicating that disease models should include sleep duration and insomnia as potential factors for CAD to develop effective interventions.

摘要

为了解睡眠与冠状动脉疾病(CAD)之间的因果关系。本研究包括六个全基因组关联部分;五个针对与睡眠相关的特征[睡眠时间(连续变量)、长睡眠时间(二元变量)、短睡眠时间(二元变量)、早睡早起习惯(即“晨型人”)和频繁失眠],一个针对CAD。采用依赖工具异质性方法来评估和去除多效性工具。进行基于广义汇总数据的孟德尔随机化,以估计与睡眠相关特征和CAD之间的因果关系。并使用保守的Bonferroni方法进行统计检验。睡眠时间被推测为CAD的病因(=0.755,95%置信区间:0.658 - 0.867,P = 6.68E - 05)。我们的结果还表明,短睡眠时间和频繁失眠对CAD均有显著因果效应,其比值比分别为4.251(95%置信区间:2.396 - 7.541,P = 7.51E - 07)和1.814(95%置信区间:1.346 - 2.446,P = 9.25E - 05)。没有令人信服的证据表明长睡眠时间或晨型人与CAD之间存在因果关系。我们的研究结果表明,睡眠时间和频繁失眠在CAD中均起因果作用,这表明疾病模型应将睡眠时间和失眠作为CAD发生有效干预措施的潜在因素。

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