Evidence map›Paper›PMID 39979244›Full record

ArticleTranslational psychiatry2025

Distinguishing clinical and genetic risk factors for suicidal ideation and behavior in a diverse hospital population.

Sarah M C Colbert, Lauren Lepow, Brian Fennessy, Nakao Iwata, Masashi Ikeda, Takeo Saito, Chikashi Terao, Michael Preuss, Jyotishman Pathak, J John Mann and 2 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Suicidality phenotypes reflect both shared and distinct genetic factors.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

12 authors.

Sarah M C ColbertDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. sarah.colbert@icahn.mssm.edu.ORCID http://orcid.org/0000-0003-3060-7471
Lauren LepowDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Brian FennessyCharles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-6222-6190
Nakao IwataDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.ORCID http://orcid.org/0000-0003-3189-6076
Masashi IkedaDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.
Takeo SaitoDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.ORCID http://orcid.org/0000-0003-3671-4585
Chikashi TeraoLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0002-6452-4095
Michael PreussCharles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jyotishman PathakDepartment of Population Health Sciences, Weill Cornell Medicine/NewYork-Presbyterian, New York, NY, USA.ORCID http://orcid.org/0000-0002-4856-410X
J John MannDepartment of Psychiatry, Columbia University Irving Medical Center, Columbia University, New York, NY, USA.
Hilary CoonDepartment of Psychiatry & Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0002-8877-5446
Niamh MullinsDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-8021-839X

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
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
Training the next generation of clinical neuroscientistsT32MH122394 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rene S. Kahn, ANTONIA S NEW · 2020 to 2026
$2.5M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Brain and Behavior Research Foundation (Brain & Behavior Research Foundation) 29551National Science Foundation (NSF) 1842169NCATS NIH HHS UL1 TR004419NIH HHS S10 OD026880NIH HHS S10 OD030463NIMH NIH HHS R01 MH123489NIMH NIH HHS T32 MH122394U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH123489
6 · The paper itself

Abstract

Suicidal ideation (SI) and behavior (SB) are major public health concerns, but risk factors for their development and progression are poorly understood. We used ICD codes and a natural language processing algorithm to identify individuals in a hospital biobank with SI-only, SB, and controls without either. We compared the profiles of SB and SI-only patients to controls, and each other, using phenome-wide association studies (PheWAS) and polygenic risk scores (PRS). PheWAS identified many risk factors for SB and SI-only, plus specific psychiatric disorders which may be involved in progression from SI-only to SB. PRS for suicide attempt were only associated with SB, and even after accounting for psychiatric disorder PRS. SI PRS were only associated with SI-only, although not after accounting for psychiatric disorder PRS. These findings advance understanding of distinct genetic and clinical risk factors for SB and SI-only, which will aid in early detection and intervention efforts.

Indexed as

Mental DisordersSuicidal IdeationSuicide, AttemptedAdultAgedCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedMultifactorial InheritanceRisk Factors

Identifiers

PMID39979244
PMCPMC11842747

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.