Evidence map›Paper›PMID 38521136›Full record

ArticleJournal of affective disorders2024

Divorce, genetic risk, and suicidal thoughts and behaviors in a sample with recurrent major depressive disorder.

Alexis C Edwards, Séverine Lannoy, Mallory E Stephenson, Kenneth S Kendler, Jessica E Salvatore

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.6field-weighted citation impact, top 12% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Alexis C EdwardsDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA. Electronic address: alexis.edwards@vcuhealth.org.
Séverine LannoyDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Mallory E StephensonDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Kenneth S KendlerDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Jessica E SalvatoreDepartment of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA.
Virginia Commonwealth University · USRutgers, The State University of New Jersey · US

Funding

Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
Harnessing advances in the genetics of suicidality to identify and dissect psychosocial pathways to riskR01MH129356 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI Alexis C Edwards · 2022 to 2026
$2.7M
The Molecular Genetics of Recurrent Major Depression in Chinese WomenR01MH100549 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2013 to 2015
$2.0M
Using genetically informed designs to understand the impact of parental divorce/separation and parental marital discord on offspring alcohol outcomesR01AA028064 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI SALVATORE, JESSICA E · 2020 to 2023
$1.3M
Dissecting the co-occurrence of alcohol use/problems and suicidal behaviors: the roles of genetic liability and neurocognitive mechanismsK99AA030611 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI LANNOY, SEVERINE PATRICIA · 2023 to 2024
$301k
NIAAA NIH HHS K99 AA030611NIAAA NIH HHS R01 AA028064NIMH NIH HHS R01 MH100549NIMH NIH HHS R01 MH129356NIMH NIH HHS T32 MH020030
6 · The paper itself

Abstract

backgroundTheories of risk for suicidal thoughts and behaviors (STB) implicate both interpersonal and biological factors. Divorce/separation and aggregate genetic liability are robustly associated with STB, but have seldom been evaluated in conjunction with one another. Furthermore, whether these factors are effective predictors in high-risk populations is not clear.

methodsAnalyses were conducted in a sample of Han Chinese women with severe recurrent major depressive disorder (maximum N = 4380). Logistic regressions were used to evaluate the associations between divorce/separation and polygenic scores (PGS) for suicidal ideation or behavior with STB. Where appropriate, additive interactions between divorce and PGS were tested.

resultsDivorce/separation was significantly associated with increased risk of suicidal ideation, plans, and attempts (odds ratios = 1.28-1.61). PGS for suicidal ideation were not associated with STB, while PGS for suicidal behavior were associated with ideation and plans (odds ratios = 1.08-1.09). There were no significant interactions between divorce/separation and PGS.

conclusionsConsistent with theories of suicidality, the disruption or end of an important interpersonal relationship is an indicator of risk for STB. Aggregate genetic liability for suicidal behavior more modestly contributes to risk, but does not exacerbate the negative impact of divorce. Thus, even within a high-risk sample, interpersonal and biological exposures distinguish between those who do and do not experience STB, and could motivate targeted screening. Further research is necessary to evaluate whether and how the context of divorce contributes to variation in its effect on STB risk.

Indexed as

Major Depressive DisorderSuicidal IdeationDivorceFemaleHumansRisk FactorsSuicide, AttemptedDivorceMajor depressive disorderPolygenic riskSuicidal ideationSuicide attempt

Identifiers

PMID38521136
PMCPMC11015957
OpenAlexW4393029136

What OpenQuestion holds

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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.