Evidence map›Paper›PMID 36940203›Full record

SynthesisPLoS genetics2023

Genome-wide association study identifies four pan-ancestry loci for suicidal ideation in the Million Veteran Program.

Allison E Ashley-Koch, Nathan A Kimbrel, Xue J Qin, Jennifer H Lindquist, Melanie E Garrett, Michelle F Dennis, Lauren P Hair, Jennifer E Huffman, Daniel A Jacobson, Ravi K Madduri and 14 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Suicidality phenotypes reflect both shared and distinct genetic factors.medRxiv : the preprint server for health sciences · 2026
    Article
  4. Review
  5. Article
  6. Growth Trajectories of Suicide Ideation and Attempt in a Population-Based Cohort from the United States.Archives of suicide research : official journal of the International Academy for Suicide Research · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. A Multivariate Genomic Investigation of the Externalizing Spectrum and Suicide Risk.medRxiv : the preprint server for health sciences · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

24 authors.

Allison E Ashley-KochDuke Molecular Physiology Institute, Durham, North Carolina, United States of America.ORCID 0000-0001-5409-9155
Nathan A KimbrelDurham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America.ORCID 0000-0001-7218-1005
Xue J QinDuke Molecular Physiology Institute, Durham, North Carolina, United States of America.ORCID 0000-0001-9169-253X
Jennifer H LindquistVA Health Services Research and Development Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, North Carolina, United States of America.
Melanie E GarrettDuke Molecular Physiology Institute, Durham, North Carolina, United States of America.ORCID 0000-0003-2302-6150
Michelle F DennisDurham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America.ORCID 0000-0003-0734-7448
Lauren P HairDurham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America.
Jennifer E HuffmanMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America.
Daniel A JacobsonBiosciences, Oak Ridge National Laboratory, Oak Ridge, TN, United States of America.ORCID 0000-0002-9822-8251
Ravi K MadduriConsortium for Advanced Science and Engineering, The University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0003-2130-2887
Hilary CoonDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
Anna R DochertyDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.ORCID 0000-0001-7139-7007
Jooeun KangDivision of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.ORCID 0000-0002-6603-0988
Niamh MullinsDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Douglas M RuderferDivision of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
VA Million Veteran Program (MVP)
MVP Suicide Exemplar Workgroup
International Suicide Genetics Consortium
Philip D HarveyResearch Service Bruce W. Carter VA Medical Center, Miami, Florida, United States of America.ORCID 0000-0002-9501-9366
Benjamin H McMahonTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
David W OslinVISN 4 Mental Illness Research, Education, and Clinical Center, Center of Excellence, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0003-4392-4599
Elizabeth R HauserDuke Molecular Physiology Institute, Durham, North Carolina, United States of America.ORCID 0000-0003-0367-9189
Michael A HauserDuke Molecular Physiology Institute, Durham, North Carolina, United States of America.
Jean C BeckhamDurham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America.

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
Distinguishing Clinical and Genetic Risk of Suicidal Ideation from Attempts to Inform PreventionR01MH121455 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RUDERFER, DOUGLAS, WALSH, COLIN GEORGE · 2020 to 2024
$2.7M
CSRD VA I01 CX001729NIMH NIH HHS R01 MH121455NIMH NIH HHS R01 MH123489NIMH NIH HHS R01 MH123619
6 · The paper itself

Abstract

Suicidal ideation (SI) often precedes and predicts suicide attempt and death, is the most common suicidal phenotype and is over-represented in veterans. The genetic architecture of SI in the absence of suicide attempt (SA) is unknown, yet believed to have distinct and overlapping risk with other suicidal behaviors. We performed the first GWAS of SI without SA in the Million Veteran Program (MVP), identifying 99,814 SI cases from electronic health records without a history of SA or suicide death (SD) and 512,567 controls without SI, SA or SD. GWAS was performed separately in the four largest ancestry groups, controlling for sex, age and genetic substructure. Ancestry-specific results were combined via meta-analysis to identify pan-ancestry loci. Four genome-wide significant (GWS) loci were identified in the pan-ancestry meta-analysis with loci on chromosomes 6 and 9 associated with suicide attempt in an independent sample. Pan-ancestry gene-based analysis identified GWS associations with DRD2, DCC, FBXL19, BCL7C, CTF1, ANNK1, and EXD3. Gene-set analysis implicated synaptic and startle response pathways (q's<0.05). European ancestry (EA) analysis identified GWS loci on chromosomes 6 and 9, as well as GWS gene associations in EXD3, DRD2, and DCC. No other ancestry-specific GWS results were identified, underscoring the need to increase representation of diverse individuals. The genetic correlation of SI and SA within MVP was high (rG = 0.87; p = 1.09e-50), as well as with post-traumatic stress disorder (PTSD; rG = 0.78; p = 1.98e-95) and major depressive disorder (MDD; rG = 0.78; p = 8.33e-83). Conditional analysis on PTSD and MDD attenuated most pan-ancestry and EA GWS signals for SI without SA to nominal significance, with the exception of EXD3 which remained GWS. Our novel findings support a polygenic and complex architecture for SI without SA which is largely shared with SA and overlaps with psychiatric conditions frequently comorbid with suicidal behaviors.

Indexed as

Major Depressive DisorderVeteransGenome-Wide Association StudyHumansRisk FactorsSuicidal IdeationSuicide, Attempted

Identifiers

PMID36940203
PMCPMC10063168

What OpenQuestion holds

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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.