Journal article
Genetic risk of chronic pain conditions associated with risk of suicide death through an integrative analysis of EHR and genomics data
Translational psychiatry, Vol.16(1), 117
02/16/2026
DOI: 10.1038/s41398-026-03861-6
PMCID: PMC12949045
PMID: 41698884
Abstract
Chronic pain represents heritable conditions linked to suicide death. It has been suggested that a shared genetic predisposition may contribute to this relationship, but there has not yet been a comprehensive assessment of genetic and clinical overlaps of different types of chronic pain with suicide death. Here, we integrated whole-genome sequencing and electronic health records from 986 unrelated individuals of European ancestry who died by suicide in the Utah Suicide Mortality Research Study and 415 ancestrally-matched population controls selected for absence of disease. Polygenic scores (PGSs) for seven distinct types of chronic pain were calculated and tested in the suicide cohort. We observed significant positive associations of PGSs for multisite chronic pain (PGS
MCP
) and chronic widespread pain (PGS
CWP
) with suicide mortality. Sex-stratified analyses showed elevations in both males and females. Pain diagnosis-stratified analyses revealed associations with suicide death regardless of chronic pain diagnoses. Follow-up tests of PGSs for more specific pain conditions showed additional associations with suicide death for: 1) monoarticular arthritis, 2) back pain, and 3) chronic inflammatory demyelinating polyneuropathy across all suicide death individuals, and 4) irritable bowel syndrome within males only. In a multiple logistic regression test of all chronic pain PGSs associating suicide death status, four types of pain remained uniquely associated with suicide death, highlighting distinct subgroups within suicide death: some attributed to MCP and CWP, and others associated with monoarticular arthritis or chronic inflammatory demyelinating polyneuropathy. This cohort study reports associations between suicide death and PGSs from various pain conditions, regardless of sex or chronic pain diagnosis, suggesting that combining genetic and clinical risk factors may better identify genetic overlap, causal directions, and/or specific gene pathways.
Details
- Title: Subtitle
- Genetic risk of chronic pain conditions associated with risk of suicide death through an integrative analysis of EHR and genomics data
- Creators
- Seonggyun Han - University of UtahEmily DiBlasi - University of UtahEric T. Monson - University of UtahAndrey A. Shabalin - University of UtahLisa Baird - University of UtahDanli Chen - Huntsman Cancer InstituteDirga Lamichhane - University of UtahDoug Tharp - University of UtahElliott Ferris - University of UtahZhe Yu - Huntsman Cancer InstituteW Brandon Callor - Utah Department of HealthMichael J. Staley - Utah Department of HealthQingqin S. Li - Neuroscience Therapeutic Area, Janssen Research & Development LLCVirginia Willour - University of IowaDavid K. Crockett - Intermountain HealthcareKaren Eilbeck - University of UtahAmanda V. Bakian - Huntsman Cancer InstituteBrooks R. Keeshin - Huntsman Cancer InstituteAkiko Okifuji - University of UtahHilary Coon - Huntsman Cancer InstituteAnna R. Docherty - University of Utah
- Resource Type
- Journal article
- Publication Details
- Translational psychiatry, Vol.16(1), 117
- DOI
- 10.1038/s41398-026-03861-6
- PMID
- 41698884
- PMCID
- PMC12949045
- NLM abbreviation
- Transl Psychiatry
- ISSN
- 2158-3188
- eISSN
- 2158-3188
- Publisher
- Nature Publishing Group UK
- Grant note
- R01MH122412; R01MH123489; R01MH123619 / U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) (https://doi.org/10.13039/100000025) 28132; 28686 / Brain and Behavior Research Foundation (Brain & Behavior Research Foundation) (https://doi.org/10.13039/100000874) R01ES032028 / U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) (https://doi.org/10.13039/100000066) BSG-005-18; BSG-005-18 / American Foundation for Suicide Prevention (AFSP) (https://doi.org/10.13039/100001455)
- Language
- English
- Date published
- 02/16/2026
- Academic Unit
- Psychiatry; Stead Family Department of Pediatrics; Iowa Neuroscience Institute
- Record Identifier
- 9985139482702771
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