Investigating Causal Relations Between Sleep-Related Traits and Risk of Type 2 Diabetes Mellitus: A Mendelian Randomization Study.

Mendelian randomization causal relations insomnia morningness sleep duration type 2 diabetes mellitus

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2020
Historique:
received: 18 09 2020
accepted: 24 11 2020
entrez: 1 1 2021
pubmed: 2 1 2021
medline: 2 1 2021
Statut: epublish

Résumé

Extensive literature put forward the link between sleep and type 2 diabetes mellitus (T2DM), however, little is known about the underlying causality of the associations. Here we aim to assess the causal relationships between five major sleep-related traits and T2DM. Two-sample Mendelian randomization (MR) was utilized to investigate the potential causal relations. Independent genetic variants associated with five sleep-related phenotypes-insomnia, sleep duration, short sleep duration, long sleep duration, and morningness-were chosen as instrumental variables to estimate the causal associations with T2DM. Summary statistics were acquired from the genome-wide association studies of UK Biobank and 23andMe (for sleep-related measures), the DIAbetes Genetics Replication And Meta-analysis and the FinnGen (for T2DM). Individual Cochran's Q statistic was applied to remove the pleiotropic instruments, global Q statistics and MR-Egger regression were adopted to test for the global heterogeneity and horizontal pleiotropy of the screened instruments, respectively. Two T2DM cohorts were selected to analyze their associations with sleep traits. A modified inverse variance weighted (IVW) estimate was performed to combine the ratio estimators from each instrument and acquire the causal estimate, alternative methods including IVW with first-order weights, simple and weighted median estimations, and MR-Egger regression were conducted as sensitivity analyses, to ensure the robustness and solidity of the findings. Two-sample MR supported findings for an adverse effect of genetically predicted insomnia on T2DM risk (odds ratio [OR] = 1.14, 95% confidence interval [CI]: 1.09-1.19, Findings provide significant evidence for an adverse effect of insomnia on T2DM risk. The study extends fundamental knowledge to further understanding of the pathophysiological mechanisms of T2DM, and points out the non-negligible role of insomnia on epidemiologic intervention and clinical therapeutics of T2DM.

Identifiants

pubmed: 33384720
doi: 10.3389/fgene.2020.607865
pmc: PMC7770175
doi:

Types de publication

Journal Article

Langues

eng

Pagination

607865

Informations de copyright

Copyright © 2020 Gao, Sun, Zhang, Liu, Wang and Wang.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Xue Gao (X)

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

Heli Sun (H)

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

Yu Zhang (Y)

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

Long Liu (L)

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

Juping Wang (J)

Department of Mathematics, School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China.

Tong Wang (T)

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

Classifications MeSH