Evidence map›Paper›PMID 41114977›Full record

ArticleJAMA network open2025

Genetic Liabilities to Neuropsychiatric Conditions in Suicide Deaths With No Prior Suicidality.

Hilary Coon, Andrey A Shabalin, Eric T Monson, Emily DiBlasi, Seonggyun Han, Lisa M Baird, Erin A Kaufman, Douglas Tharp, Michael J Staley, Zhe Yu and 10 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Suicidality phenotypes reflect both shared and distinct genetic factors.medRxiv : the preprint server for health sciences · 2026
    Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Hilary CoonDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City.
Andrey A ShabalinDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City.
Eric T MonsonDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City.
Emily DiBlasiDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City.
Seonggyun HanDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City.
Lisa M BairdDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City.
Erin A KaufmanDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City.
Douglas TharpDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City.
Michael J StaleyUtah State Office of the Medical Examiner, Utah Department of Health and Human Services, Salt Lake City.
Zhe YuHuntsman Cancer Institute, Salt Lake City, Utah.
Qingqin S LiNeuroscience Therapeutic Area, Janssen Research and Development, Titusville, New Jersey.
Sarah M ColbertDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Amanda V BakianDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City.
Anna R DochertyDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City.
Andrew M McIntoshDivision of Psychiatry, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland.
Heather C WhalleyGeneration Scotland, Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, Scotland.
Dierdre AmaroUtah State Office of the Medical Examiner, Utah Department of Health and Human Services, Salt Lake City.
David K CrockettClinical Analytics, Intermountain Health, Salt Lake City, Utah.
Niamh MullinsDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Brooks R KeeshinDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City.

Funding

Prediction of suicide death using EHR and polygenic risk scoresR01MH123489 · NIMH · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI COON, HILARY · 2020 to 2025
$4.2M
Genome-Wide Association Analysis of Suicide DeathR01MH123619 · NIMH · UNIVERSITY OF UTAH · PI DOCHERTY, ANNA R. · 2020 to 2024
$3.2M
The influence of multiple environmental exposures on suicide riskR01ES032028 · NIEHS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI BAKIAN, AMANDA · 2021 to 2025
$3.1M
Genetic risk discovery using WGS from a population-based resource of 10,000 suicide deaths with DNAR01MH122412 · NIMH · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Hilary Coon · 2020 to 2026
$2.7M
Examining Mechanisms of Change in Adolescent Self-Inflicted InjuryK23MH135225 · NIMH · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Erin Anne Kaufman · 2024 to 2026
$598k
NIEHS NIH HHS R01 ES032028NIMH NIH HHS K23 MH135225NIMH NIH HHS R01 MH122412NIMH NIH HHS R01 MH123489NIMH NIH HHS R01 MH123619
6 · The paper itself

Abstract

Importance: Although suicide attempt is the most robust estimator of suicide death, few individuals who attempt it go on to die by suicide (<10%), and approximately 50% of suicide deaths occur in the absence of evidence of prior attempts. The risks are particularly poorly understood in this group. Objective: To study underlying polygenic liabilities among suicide deaths without evidence of prior nonfatal suicidality (SD-N) compared with suicide deaths with prior suicidality (SD-S), testing prior results showing significantly lower clinical risks of neuropsychiatric traits in SD-N vs SD-S. Design, Setting, and Participants: In this cohort study, polygenic scores (PGS) were computed using summary statistics from 12 published source studies, then compared across SD-N and SD-S groups taken from the Utah Suicide Mortality Research Study (cases accrued between December 1998 and October 2022). PGS from the suicide death cohorts were also compared to unselected population controls. Evidence of prior suicidality was determined from diagnoses and clinical notes. Main Outcomes and Measures: Cohort differences in PGS reflecting neuropsychiatric conditions were tested using analysis of covariance, adjusting for sex, age, and genetic ancestry, followed by additional analyses within sex and within subgroups defined by age at death (50 years or younger vs older than 50 years). PGS spanned 12 neuropsychiatric conditions. Data were analyzed between July 2024 and July 2025. Results: The SD-N cohort (n = 1337) had significantly more male suicide deaths (1105 [82.65%] vs 974 [67.95%]), with an older mean (SD) age at death (47.5 [18.9] vs 41.4 [15.6] years) than the SD-S cohort (n = 1432). The control cohort (n = 19 499) had significantly fewer males (8597 [44.09%]) than both suicide death subsets. Genetic ancestry was similar across the SD-N and SD-S groups (96.77% and 96.81% European ancestry), and control (97.38% European ancestry) groups. Socioeconomic status was not significantly different across suicide cohorts adjusted for age and sex (occupation ranking SD-N mean [SD], 57.16 [24.54]; SD-S mean [SD], 54.72 [25.29]; t = 1.30; P = .70; maximum education SD-N mean [SD], 2.70 [1.12]; SD-S mean [SD], 2.67 [1.13]; Fisher exact test P = .38). Comparing SD-N to SD-S revealed significantly lower (false discovery rate P < .05) PGS in the SD-N group for major depressive disorder (adjusted mean difference, 0.085 [95% CI, 0.018-0.152]; P = .01), depressed affect (adjusted mean difference, 0.081 [95% CI, 0.012-0.149]; P = .02), anxiety (adjusted mean difference, 0.091 [95% CI, 0.021-0.161]; P = .01), neuroticism (adjusted mean difference, 0.102 [95% CI, 0.033-0.171]; P = .004), and Alzheimer disease (adjusted mean difference, 0.090 [95% CI, 0.021-0.1658]; P = .01), and lower (false discovery rate P < .10) PGS in SD-N for posttraumatic stress disorder (adjusted mean difference, 0.070 [95% CI, 0.001-0.139]; P = .04). Of note, SD-N PGS were not significantly different from controls for depressed affect (adjusted mean difference, 0.037 [95% CI, -0.019 to 0.093]), neuroticism (adjusted mean difference, -0.001 [95% CI, -0.057 to 0.055]), or Alzheimer disease (adjusted mean difference, -0.027 [95% CI, -0.083 to 0.029]). Conclusions and Relevance: In this cohort study, SD-N showed significantly different genetic liabilities to neuropsychiatric conditions from SD-S. Results have implications for future suicide research and prevention for persons at risk of mortality.

Indexed as

Mental DisordersSuicideSuicide, CompletedAdultAgedCohort StudiesFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedMultifactorial InheritanceRisk FactorsSuicide, AttemptedUtah

Identifiers

PMID41114977
PMCPMC12538367

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