Evidence map›Paper›PMID 42675179›Full record

ArticleMolecular psychiatry2026

Dissecting the shared genetic architecture and biological mechanisms linking sleep traits and suicide attempts: from variants to genes.

Yan'e Lu, Yajing Xu, Yaoyao Sun, Yuying Li, Suhua Chang, Jianyu Que, Xikun Han, Ya Bin Wei, Catharina Lavebratt, Jia Jia Liu

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Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yan'e LuSchool of Nursing, Peking University, Beijing, 100191, China.ORCID http://orcid.org/0000-0002-4662-7154
Yajing XuSchool of Nursing, Peking University, Beijing, 100191, China.
Yaoyao SunPeking University Sixth Hospital, Peking University Institute of Mental Health, National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Beijing, 100191, China.ORCID http://orcid.org/0000-0001-8096-3568
Yuying LiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3231-7542
Suhua ChangPeking University Sixth Hospital, Peking University Institute of Mental Health, National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Beijing, 100191, China.ORCID http://orcid.org/0000-0001-7465-3985
Jianyu QueXiamen Xianyue Hospital, Xianyue Hospital Affiliated with Xiamen Medical College, Fujian Psychiatric Center, Fujian Clinical Research Center for Mental Disorders, Xiamen, 361012, Fujian, China.
Xikun HanDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Ya Bin WeiBeijing Key Laboratory of Drug Dependence Research, National Institute on Drug Dependence, Peking University, Beijing, 100191, China.ORCID http://orcid.org/0000-0002-3786-908X
Catharina LavebrattDepartment of Molecular Medicine and Surgery, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4987-2718
Jia Jia LiuSchool of Nursing, Peking University, Beijing, 100191, China. liujiajia_sdu@bjmu.edu.cn.ORCID http://orcid.org/0000-0001-5548-8777

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81801344National Natural Science Foundation of China (National Science Foundation of China) 82171530
6 · The paper itself

Abstract

Comorbidities and genetic correlations between sleep traits and suicide attempts suggest potential shared genetic architecture, but pleiotropic genetic variants and functions remain unclear. This study aimed to identify shared genetic variants, genes, and biological mechanisms linking sleep traits with suicide attempts. We conducted a genome-wide pleiotropic analysis using GWAS summary statistics for 11 sleep traits and suicide attempts. Genetic correlations and overlaps were assessed using LDSC and GPA. Pleiotropic variants were identified via PLACO, functionally annotated with FUMA, and evaluated by Bayesian colocalization. SuSiE fine-mapping and SuSiE-based colocalization further refined variant-level signals. Gene-level associations were examined using MAGMA, followed by SMR integrating blood and brain cis-eQTL data. Prioritized genes were characterized through phenotype, pathway, cell-type enrichment, and DGIdb druggability analyses. Bidirectional causality was explored via Mendelian randomization. Six sleep traits exhibited significant genetic correlations with suicide attempts, while all 11 showed significant polygenic overlap. We identified 2,224 trait-pair-specific pleiotropic variants (1,640 unique) across 50 trait-pair-specific risk loci. Self-reported sleep duration and daytime napping contributed the most variants and loci, whereas least active 5 h timing and sleep efficiency showed the fewest. Colocalization supported shared causal variants at 15 loci. Thirty-two pleiotropic genes were prioritized, showing enrichment in metabolic, developmental, synaptic, immune, and H3K27me3-related pathways. Thirteen genes (40.63%) were druggable, including five with approved drug interactions. Genetically predicted morning chronotype was associated with lower odds of suicide attempts. These findings provide new insights into the shared genetic basis linking sleep traits and suicide attempts and highlight candidate druggable genes for future translational research.

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.