Evidence map›Paper›PMID 41806974›Full record

ArticleBMJ mental health2026

Sex differences in familial risk and genetic components of suicide attempts: a register-based cohort study in Sweden.

Thuy-Dung Nguyen, Tong Gong, Kejia Hu, Ralf Kuja-Halkola, Karen Borges, Agnieszka Butwicka, Isabell Brikell, James J Crowley, Zheng Chang, Brian M D'Onofrio and 7 more

Abstract read
In one paragraph

Article in BMJ mental health, 2026. 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
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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

17 authors.

Thuy-Dung NguyenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden lu.yi@ki.se thuy.dung.nguyen@ki.se.ORCID http://orcid.org/0000-0002-5781-4393
Tong GongDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Kejia HuInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-6680-8107
Ralf Kuja-HalkolaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3765-2067
Karen BorgesDivision of Psychiatry, University of Edinburg, Edinburgh, UK.
Agnieszka ButwickaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Isabell BrikellDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3800-6665
James J CrowleyDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Zheng ChangDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-8087-1417
Brian M D'OnofrioDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Henrik LarssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Paul LichtensteinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Christian RückDepartment of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-8742-0168
Cynthia BulikDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Fang FangInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Patrick SullivanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Yi LuDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden lu.yi@ki.se thuy.dung.nguyen@ki.se.ORCID http://orcid.org/0000-0001-9933-3654

Funding

NIMH NIH HHS R01-MH120170NIMH NIH HHS R01-MH124871NIMH NIH HHS R56-MH129437US National Institutes of Mental Health NIMH R01-MH123724
6 · The paper itself

Abstract

backgroundSuicidal behaviour shows notable sex differences, and understanding whether genetic factors contribute to these differences is critical for identifying at-risk individuals and prevention.

objectiveWe aim to investigate the genetic contribution to suicide attempts and examine whether genetics account for sex differences in incidence.

methodsThis population-based cohort study includes 3.1 million individuals born 1963-1998 and followed through Swedish National Registers, including hospitals and specialist outpatient diagnoses and cause of death data. Suicide attempts were identified using ICD codes, indicating intentional self-harm, self-harm using lethal methods or leading to hospitalisation, or resulting in death. Familial aggregation, coaggregation, pedigree heritability and genetic correlations were estimated using genealogical data. For sex-specific analyses, we examined mother-daughter, female sibling, father-son and male sibling pairs, separately.

findingsSuicide attempts were more common among females than males (3.3% vs 2.6%). In both sexes, risk aggregated within families (ORs ranged 1.6-3.4 across relative types) and was higher in first-degree than second-degree relatives. Familial aggregation was stronger in females than in males, and in same-sex first degree relatives compared with cross-sex pairs. Pedigree heritability was 41.9% (95% CI 36.0 to 48.4%) and did not differ significantly by sex (female 51.4% (95% CI 40.1% to 58.6%), male 45.1% (95% CI 32.3% to 52.5%), Bootstrap p value 0.40). Suicide attempt showed moderate to high pedigree genetic correlations with psychiatric disorders, strongest with substance use disorders (SUD, r

conclusionsSuicide attempt has a moderate heritable component that largely overlaps between females and males and with other psychiatric disorders, particularly SUD. Stronger familial aggregation in females and in same-sex pairs highlights the potential role of sex-specific environmental or social factors. Future research should focus on non-genetic contributors and their potential interaction with genetic factors to better understand and address sex disparities in suicidal behaviour CLINICAL IMPLICATIONS: Genetic risk for suicide attempt is substantial but does not fully explain sex differences in incidence. Clinicians should, therefore, consider non-genetic, including sex-specific environmental and social factors, alongside family history and psychiatric comorbidity when assessing suicidal risk.

Indexed as

Genetic Predisposition to DiseaseSuicide, AttemptedAdolescentAdultCohort StudiesFemaleHumansIncidenceMaleMiddle AgedRegistriesRisk FactorsSex FactorsSwedenYoung AdultMental HealthPsychiatry

Identifiers

PMID41806974
PMCPMC12983717

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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.