Evidence map›Paper›PMID 41282879›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Genome-wide association studies identify 77 loci for suicidality and provide novel biological insights.

Sarah M C Colbert, Psychiatric Genomics Consortium Suicide Working Group, Douglas Ruderfer, Anna R Docherty, Niamh Mullins

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sarah M C ColbertDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai.ORCID 0000-0003-3060-7471
Psychiatric Genomics Consortium Suicide Working Group
Douglas RuderferDepartment of Biomedical Informatics, Vanderbilt University Medical Center.ORCID 0000-0002-2365-386X
Anna R DochertyDepartment of Psychiatry, University of Utah Spencer Fox Eccles School of Medicine.ORCID 0000-0001-7139-7007
Niamh MullinsDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai.ORCID 0000-0001-8021-839X

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
2/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124851 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOERGLUM, ANDERS, DAVIS, LEA K · 2021 to 2025
$5.4M
1/7 PGC: Advancing Discovery and ImpactR01MH124871 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M, SULLIVAN, PATRICK F · 2021 to 2025
$3.5M
7/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01DA054869 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2021 to 2025
$3.3M
Genome-Wide Association Analysis of Suicide DeathR01MH123619 · NIMH · UNIVERSITY OF UTAH · PI DOCHERTY, ANNA R. · 2020 to 2024
$3.2M
5/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124873 · NIMH · CARDIFF UNIVERSITY · PI LEWIS, CATHRYN, O'DONOVAN, MICHAEL · 2021 to 2025
$2.6M
Establishing the Suicide Working Group of the Psychiatric Genomics Consortium to elucidate the genetics and biology of suicide outcomesR01MH132733 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Niamh Mullins · 2024 to 2026
$2.4M
4/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124847 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NIEVERGELT, CAROLINE M, SEBAT, JONATHAN · 2021 to 2025
$2.1M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
3/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124839 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ANDREASSEN, OLE A, HUCKINS, LAURA MARIANNE · 2021 to 2025
$2.0M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
6/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124875 · NIMH · TRINITY COLLEGE DUBLIN · PI Aiden Peter Corvin · 2021 to 2026
$765k
NIDA NIH HHS R01 DA054869NIEHS NIH HHS P30 ES005605NIH HHS S10 OD018522NIH HHS S10 OD026880NIMH NIH HHS R01 MH123619NIMH NIH HHS R01 MH124839NIMH NIH HHS R01 MH124847NIMH NIH HHS R01 MH124851NIMH NIH HHS R01 MH124871NIMH NIH HHS R01 MH124873NIMH NIH HHS R01 MH124875NIMH NIH HHS R01 MH132733
6 · The paper itself

Abstract

Suicidality is heritable and a leading cause of global morbidity and mortality, yet its biological etiology remains largely elusive. We conducted multi-ancestry genome-wide association study meta-analyses of suicidal ideation (259,747 cases), suicide attempt (64,993 cases), suicide death (9,197 cases), and suicidal behavior (suicide attempt/ death, 75,300 cases), across 54 cohorts (e.g., the Psychiatric Genomics Consortium, Million Veteran Program, UK Biobank). We identified 77 significant loci across meta-analyses, including 59 previously unreported for suicidality. SNP-based heritability ranged from 2.0-6.7% and there were strong, yet incomplete, genetic correlations between suicidality phenotypes (0.70-0.88). Fine-mapping prioritized 27 putative causal SNPs and 20 credible genes. Enrichment analyses implicated synaptic pathways and neuronal populations predominantly in subcortical brain regions (e.g., amygdala excitatory, medium spiny, hippocampal CA1-3). Together, these findings establish suicidality as a polygenic set of traits with both shared and distinct genetic influences, providing a foundation for future studies of suicide biology and etiology.

Identifiers

PMID41282879
PMCPMC12633560

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Registered trials

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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.