高雪,杨晓晨,孟玲先,孙鹤立,王彤.睡眠与冠心病的孟德尔随机化因果关联研究[J].Chinese journal of Epidemiology,2020,41(4):611-614 |
睡眠与冠心病的孟德尔随机化因果关联研究 |
Causal relationship between sleep and coronary artery disease: a Mendelian randomization study |
Received:June 24, 2019 |
DOI:10.3760/cma.j.cn112338-20190624-00462 |
KeyWord: 冠心病 睡眠 孟德尔随机化 |
English Key Word: Coronary artery disease Sleep Mendelian randomization |
FundProject:国家自然科学基金(81872715);山西省研究生教育创新项目(2019SY268) |
Author Name | Affiliation | E-mail | Gao Xue | Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan 030001, China | | Yang Xiaochen | Department of Medical and Biological Statistics, School of Statistics, Renmin University of China, Beijing 100872, China | | Meng Lingxian | Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan 030001, China | | Sun Heli | Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan 030001, China | | Wang Tong | Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan 030001, China | tongwang@sxmu.edu.cn |
|
Hits: 5737 |
Download times: 1880 |
Abstract: |
目的 对睡眠与冠心病之间的因果关联进行研究与探讨。方法 研究包含5个睡眠相关性状[睡眠时间(连续变量)、长睡眠时间(二分类变量)、短睡眠时间(二分类变量)、早睡早起睡眠习惯、经常性失眠]的全基因组关联分析(GWAS)数据集与1个冠心病GWAS数据集。应用非独立工具变量异质性检测方法评估并排除无效工具变量,利用基于广义的汇总数据孟德尔随机化方法估计睡眠与冠心病之间的因果效应, 应用Bonferroni法校正检验的显著性水平。结果 睡眠时间与冠心病具有显著的因果关联 (OR=0.755,95%CI:0.658~0.867,P=6.68E-05)。短睡眠时间(OR=4.251,95%CI:2.396~7.541,P=7.51E-07)以及经常性失眠 (OR=1.814,95%CI:1.346~2.446,P=9.25E-05)均会显著增加冠心病患病风险。而长睡眠时间以及早睡早起睡眠习惯与冠心病的因果关联不显著。结论 睡眠时间以及经常性失眠与冠心病存在因果关联。 |
English Abstract: |
Objective To understand the causal relationship between sleep and coronary artery disease (CAD). Methods 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. Results Sleep duration was putatively causal for CAD (OR=0.755, 95%CI:0.658-0.867, P=6.68E-05). Our results also indicated significant causal effects between both short sleep duration and frequently insomnia on CAD, with ORs as 4.251 (95%CI:2.396-7.541, P=7.51E-07) and 1.814 (95%CI:1.346-2.446, P=9.25E-05), respectively. There was no convincing evidence of causality between long sleep duration or morningness with CAD. Conclusions 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. |
View Fulltext
Html FullText
View/Add Comment Download reader |
Close |
|
|
|