Evidence map›Paper›PMID 34030748›Full record

ReviewPsychological medicine2021

Genetic contributions to suicidal thoughts and behaviors.

Emily DiBlasi, Jooeun Kang, Anna R Docherty

Registry-linked trialAbstract readReview
In one paragraph

Review in Psychological medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07422090 (Prevention of Suicidal Behavior Through Therapeutic Interventions Guided by Digital Phenotype and Pharmacogenetics), which is not on this map. Cited by 42 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 5 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.

NCT07422090 recruitingnot on this mapstarted 2025, after this paper: background citation

Prevention of Suicidal Behavior Through Therapeutic Interventions Guided by Digital Phenotype and Pharmacogenetics: The SMARTomicS Study Protocol

TypeobservationalSponsorInstituto de Investigación Sanitaria de la Fundación Jiménez DíazRan2025 to 2028Enrolled5,000ConditionsSuicide AttemptArmsNo Intervention: Observational Cohort
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Completed suicide in patients with skin disease: A systematic review and meta-analysis.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Genetics and epigenetics of self-injurious thoughts and behaviors: Systematic review of the suicide literature and methodological considerations.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2022
    Pooled it
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  19. Genomic links between symptoms of eating disorders and suicidal ideation.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    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

3 authors.

Emily DiBlasiDepartment of Psychiatry & the Center for Genomic Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0002-1266-7297
Jooeun KangDivision of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
Anna R DochertyDepartment of Psychiatry & the Center for Genomic Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Medical Scientist Training ProgramT32GM152284 · NIGMS · VANDERBILT UNIVERSITY · PI Christopher S. Williams · 2024 to 2026
$4.8M
Genome-Wide Association Analysis of Suicide DeathR01MH123619 · NIMH · UNIVERSITY OF UTAH · PI DOCHERTY, ANNA R. · 2020 to 2024
$3.2M
NCATS NIH HHS UL1 TR002538NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM152284NIMH NIH HHS R01 MH123619
6 · The paper itself

Abstract

Suicidal ideation, suicide attempt (SA) and suicide are significantly heritable phenotypes. However, the extent to which these phenotypes share genetic architecture is unclear. This question is of great relevance to determining key risk factors for suicide, and to alleviate the societal burden of suicidal thoughts and behaviors (STBs). To help address the question of heterogeneity, consortia efforts have recently shifted from a focus on suicide within the context of major psychopathology (e.g. major depressive disorder, schizophrenia) to suicide as an independent entity. Recent molecular studies of suicide risk by members of the Psychiatric Genomics Consortium and the International Suicide Genetics Consortium have identified genome-wide significant loci associated with SA and with suicide death, and have examined these phenotypes within and outside of the context of major psychopathology. This review summarizes important insights from epidemiological and biometrical research on suicide, and discusses key empirical findings from molecular genetic examinations of STBs. Polygenic risk scores for these phenotypes have been observed to be associated with case-control status and other risk phenotypes. In addition, estimated shared genetic covariance with other phenotypes suggests specific medical and psychiatric risks beyond major depressive disorder. Broadly, molecular studies suggest a complexity of suicide etiology that cannot simply be accounted for by depression. Discussion of the state of suicide genetics, a growing field, also includes important ethical and clinical implications of studying the genetic risk of suicide.

Indexed as

Genome-Wide Association StudyMolecular EpidemiologySuicidal IdeationHumansPhenotypeRisk FactorsSuicide, Attemptedgenetic epidemiologygeneticssuicidal ideationsuicidal thoughts and behaviorsSuicidesuicide attempt

Identifiers

PMID34030748
PMCPMC8477225

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Registered trials

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.