ArticleFrontiers in genetics2020
Investigating Causal Relations Between Sleep-Related Traits and Risk of Type 2 Diabetes Mellitus: A Mendelian Randomization Study.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- A Meta-Analysis of a Cohort Study on the Association between Sleep Duration and Type 2 Diabetes Mellitus.Journal of diabetes research · 2021Pooled it
- Causal effects of lifestyle and socioeconomic factors on diabetes and its complications and comorbidities: A Mendelian randomization study.Journal of diabetes investigation · 2026Article
- Obstructive sleep apnea mediates genetic risk of Diabetes Mellitus in Hispanic and Latino communities.Communications medicine · 2025Article
- Getting Up in the Morning and Chronotype in Relation to Polycystic Ovarian Syndrome: A Mendelian Randomization and Cross-Sectional Study.Nature and science of sleep · 2025Article
- Disease Modules Associated with Unfavorable Sleep Patterns and Their Genetic Determinants: A Prospective Cohort Study of the UK Biobank.Phenomics (Cham, Switzerland) · 2024Article
- Long-term trajectories of sleep duration are associated with incident diabetes in middle-to-older-aged Black and White Americans.Diabetologia · 2024Article
- U-shaped association between sleep duration and biological aging: Evidence from the UK Biobank study.Aging cell · 2024Article
- Sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes: a prospective study of the UK Biobank.Diabetology & metabolic syndrome · 2024Article
- Interplay between chronic widespread pain and lifestyle factors on the risk of type 2 diabetes: longitudinal data from the Norwegian HUNT Study.BMJ open diabetes research & care · 2023Article
- Method comparison and estimation of causal effects of insomnia on health outcomes in a survey sampled population.Scientific reports · 2023Article
- Association between sleep duration and metabolic syndrome: linear and nonlinear Mendelian randomization analyses.Journal of translational medicine · 2023Article
- Unraveling the associations and causalities between glucose metabolism and multiple sleep traits.Frontiers in endocrinology · 2023Article
- Leveraging genetic discoveries for sleep to determine causal relationships with common complex traits.Sleep · 2022Review
- Article
- Ellagic acid regulates hyperglycemic state through modulation of pancreatic IL-6 and TNF- α immunoexpression.Saudi journal of biological sciences · 2022Article
- Integrative Identification of Genetic Loci Jointly Influencing Diabetes-Related Traits and Sleep Traits of Insomnia, Sleep Duration, and Chronotypes.Biomedicines · 2022Article
- Network Mendelian randomization study: exploring the causal pathway from insomnia to type 2 diabetes.BMJ open diabetes research & care · 2022Article
- Characterisation of insomnia as an environmental risk factor for asthma via Mendelian randomization and gene environment interaction.Scientific reports · 2021Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveExtensive 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. DESIGN SETTING AND
participantsTwo-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). MAIN
methodsIndividual 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.
resultsTwo-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,
conclusionFindings 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.
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