Jul 2026· Journal of Sleep Research· pp.
e70411
· 0 citations· 28 references
Medicine
TL;DR
Findings indicate that genetically determined short sleep duration and insomnia symptoms are associated with mental and neurological problems, cardiovascular disease and musculoskeletal disorders, suggesting a potentially preventive, causal role of healthy sleeping patterns on chronic disease.
Abstract
Sleep-related and chronotype traits have been shown to impact health in observational studies. To identify whether these associations are potentially causal, we conducted phenome-wide Mendelian randomisation analyses of short sleep, insomnia symptoms, total sleep duration, long sleep, snoring, daytime sleepiness and morning chronotype with a broad range of health-related phenotypes. We assessed the association between the genetic predisposition to these traits and the occurrence of 702 health-related phenotypes, using summary statistics of the largest genome-wide association studies in European individuals. Results that were significant (multiple comparisons: False Discovery Rate) and valid (robust genetic instruments, unaffected by horizontal pleiotropy) were validated using data from the second largest European genome-wide association study. Genetically determined short sleep was associated with increased risks of attention-deficit/hyperactivity disorder and neuroticism, musculoskeletal conditions, asthma and gastroesophageal reflux and lower educational attainment. Genetically determined insomnia symptoms showed associations with increased risk of coronary artery disease, major depression and osteoarticular disease. Genetically determined long sleep was linked to higher risk of iron deficiency anaemia and lower bone mineral density. Genetic predisposition to snoring was associated with more falls, greater body mass and higher low-grade inflammation. Genetically determined morning chronotype was related to higher vitamin D levels and lower risk of irritable bowel syndrome. No associations were found for daytime sleepiness. Overall, these findings indicate that genetically determined short sleep duration and insomnia symptoms are associated with mental and neurological problems, cardiovascular disease and musculoskeletal disorders, suggesting a potentially preventive, causal role of healthy sleeping patterns on chronic disease.
Which sleep PRS performed well across diverse populations and which sleep definitions better captured genetic underpinnings was highlighted by evaluating several types of sleep PRSs and sleep phenotypes.
A. Wyss, Michael Brown, Xiang Li et al.· Sleep· 0 citations
It is suggested that sleep disturbances may represent potential modifiable factors associated with mental health outcomes and highlight the importance of sleep-related interventions in psychiatric disease prevention and management.
Xin Wu, Mei Chang, Bingyi Song et al.· Frontiers in Psychiatry· 0 citations
Poor sleep quality is associated with symptom severity in schizophrenia, including later illness onset, independent of chronotype or BDNF Val66Met variant.
Anusree A Kumar, Aisha Shaju, Midhun Sidharthan et al.· Progress in Neuro-psychophar...· 0 citations
Fatigue is a multifactorial condition influenced by environmental, behavioral, genetic, and disease-related factors. While observational studies have identified key contributors like circadian disruption, sleep disturbances, and genetic predisposition, the causal relationships remain unclear. Mendelian randomization (MR) offers a robust approach to overcome limitations of traditional studies and establish causal links between modifiable behavioral preferences and fatigue. This study employed univariate and multivariate MR (MVMR) analyses using publicly available genome-wide association study (GWAS) summary statistics to investigate the potential causal relationships between these behavioral preference factors and the risk of fatigue. We obtained GWAS summary statistics for relevant variables from the Neale Lab and MRC Integrated Epidemiology Unit (MRC-IEU) databases. After systematic screening of multiple domains (internal microenvironment, indoor environment parameters, and natural environment characteristics), the inverse variance weighted (IVW) method served as the primary analysis, complemented by sensitivity analysis (heterogeneity test, pleiotropy analysis, leave-one-out analysis, and MR-PRESSO) to evaluate result robustness. Using GWAS data from 32 traits (1645,048 participants), we identified three significant behavioral preference-related determinants of fatigue: chronotype, ease of getting up in the morning, and time spent outdoors in summer. The MR results demonstrated: Protective effects against fatigue associated with greater ease of getting up in the morning (OR = 0.991, 95%CI 0.987–0.995; P < .001) and longer summer outdoor exposure (OR = 0.996, 95%CI 0.992–1.000; P = .030); Elevated fatigue risk,linked to evening chronotype (OR = 1.003, 95%CI 1.001–1.005; P = .013). MVMR analysis showed that after jointly incorporating variables, the impact of ease of getting up in the morning on fatigue remained significant (OR = 0.987, 95%CI: 0.980–0.995, P = .002). Sensitivity analyses confirmed the robustness of these findings: although significant heterogeneity was detected for ease of getting up in the morning (Cochran’s Q test P < .05), no evidence of horizontal pleiotropy (MR-Egger intercept P > .05) or outlier SNPs (MR-PRESSO) was found, and results were consistent across multiple MR methods. These findings provide genetic evidence supporting causal relationships between modifiable behavioral preference factors and fatigue. Specifically, greater ease of getting up in the morning and longer summer outdoor exposure may reduce fatigue risk, while evening chronotype increases susceptibility.
Tao Luo, Fen Zhang, H. Xue et al.· Medicine· 0 citations
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