ArticleSleep2020
Molecular genetic overlap between posttraumatic stress disorder and sleep phenotypes.
Article in Sleep, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Comparing the molecular correlates of PTSD in first responders and the broader molecular PTSD literature: a hybrid review.Frontiers in psychology · 2026Pooled it
- Understanding the comorbidity between posttraumatic stress severity and coronary artery disease using genome-wide information and electronic health records.Molecular psychiatry · 2022Pooled it
- Exploring the shared genetic architecture between post-traumatic stress disorder (PTSD) and obstructive sleep apnea (OSA).European journal of psychotraumatology · 2026Article
- The Interplay Between Sleep and Mental Health: A Genetic Perspective.Biological psychiatry · 2025Review
- Breathing new life into PTSD-related sleep disorders!Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Analysis of novel sleep variable highlights shared genetics of sleep and psychiatric disorders.Sleep · 2024Article
- Review
- Posttraumatic stress disorder: from gene discovery to disease biology.Psychological medicine · 2021Review
- Article
- Characterization of basal forebrain glutamate neurons suggests a role in control of arousal and avoidance behavior.Brain structure & function · 2021Article
- Sleep, circadian system and traumatic stress.European journal of psychotraumatology · 2021Article
- Gene Expression Analysis in Three Posttraumatic Stress Disorder Cohorts Implicates Inflammation and Innate Immunity Pathways and Uncovers Shared Genetic Risk With Major Depressive Disorder.Frontiers in neuroscience · 2021Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
STUDY
objectivesSleep problems are common, serving as both a predictor and symptom of posttraumatic stress disorder (PTSD), with these bidirectional relationships well established in the literature. While both sleep phenotypes and PTSD are moderately heritable, there has been a paucity of investigation into potential genetic overlap between sleep and PTSD. Here, we estimate genetic correlations between multiple sleep phenotypes (including insomnia symptoms, sleep duration, daytime sleepiness, and chronotype) and PTSD, using results from the largest genome-wide association study (GWAS) to date of PTSD, as well as publicly available GWAS results for sleep phenotypes within UK Biobank data (23 variations, encompassing four main phenotypes).
methodsGenetic correlations were estimated utilizing linkage disequilibrium score regression (LDSC), an approach that uses GWAS summary statistics to compute genetic correlations across traits, and Mendelian randomization (MR) analyses were conducted to follow up on significant correlations.
resultsSignificant, moderate genetic correlations were found between insomnia symptoms (rg range 0.36-0.49), oversleeping (rg range 0.32-0.44), undersleeping (rg range 0.48-0.49), and PTSD. In contrast, there were mixed results for continuous sleep duration and daytime sleepiness phenotypes, and chronotype was not correlated with PTSD. MR analyses did not provide evidence for casual effects of sleep phenotypes on PTSD.
conclusionSleep phenotypes, particularly insomnia symptoms and extremes of sleep duration, have shared genetic etiology with PTSD, but causal relationships were not identified. This highlights the importance of further investigation into the overlapping influences on these phenotypes as sample sizes increase and new methods to investigate directionality and causality become available.
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Registered trials
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