Genetic impact on the association of sleep patterns and chronic kidney disease: A prospective cohort study of 157,175 UK Biobank participants

被引:6
作者
Li, Chunyang [1 ,2 ]
Chen, Yilong [1 ,2 ]
Zhao, Weiling [3 ]
Zhang, Chao [1 ,2 ]
Tang, Lei [4 ]
Ying, Zhiye [1 ,2 ]
Chen, Wenwen [1 ]
Song, Huan [2 ,5 ]
Zhou, Xiaobo [3 ]
Zeng, Xiaoxi [1 ,4 ]
机构
[1] Sichuan Univ, West China Hosp, Kidney Res Inst, Biomed Big Data Ctr, 37 Guo Xue Xiang, Chengdu 610041, Sichuan, Peoples R China
[2] Sichuan Univ, Medx Ctr Informat, 17 Ren Min Nan Rd 3,Sect, Chengdu 610041, Sichuan, Peoples R China
[3] Univ Texas Hlth Sci Ctr Houston, Sch Biomed Informat, 7000 Fannin St, Houston, TX 77030 USA
[4] Sichuan Univ, West China Hosp, Div Nephrol, 37 Guo Xue Xiang, Chengdu 610041, Sichuan, Peoples R China
[5] Univ Iceland, Fac Med, Ctr Publ Hlth Sci, Reykjavik, Iceland
关键词
Chronic kidney disease; Sleep; Night shift; Multiple correspondence analysis; Gene-environment-wide interaction study; MULTIPLE CORRESPONDENCE-ANALYSIS; NIGHT-SHIFT WORK; MENDELIAN RANDOMIZATION; FOLLOW-UP; DURATION; RISK;
D O I
10.1016/j.jpsychores.2023.111323
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Objectives: The association between sleep pattern and chronic kidney disease (CKD) incidence, and whether the association is dependent on the genetic backgrounds has not been addressed. We sought to investigate the association of multidimensional sleep pattern with CKD in consideration of genetic polymorphisms. Methods: In this prospective cohort study of 157,175 participants from the UK Biobank, sleep patterns were derived by multiple correspondence analysis (MCA) and k-means clustering of individual sleep traits (sleep duration, insomnia, chronotype, daytime sleepiness, snoring, and night shift status). Cox proportional hazard regression was used to estimate the association between sleep patterns and CKD incidence. Gene-environmentwide interaction study (GEWIS) was performed to detect whether gene polymorphisms were modifiers on this association. Results: Compared with "healthy sleep" pattern, increased CKD incidence was observed in the clusters with "long sleep duration" (hazard ratios (HR) 1.42, 95% confidence intervals (CI), 1.18-1.72) and "night shift" (HR 1.23, 95% CI, 1.05-1.45) patterns, but not with the "short sleep duration" pattern. By GEWIS, we identified 167 SNPs as suggestive effect modifiers that interacted with unhealthy sleep patterns and affected the risk of CKD. Conclusions: Unhealthy sleep patterns, with features of long sleep duration and night shift, may increase the risk of CKD. The study highlights the interaction of sleep and individual genetic risk to affect health outcomes.
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页数:9
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