Evidence map›Paper›PMID 42742582›Full record

ArticleWorld psychiatry : official journal of the World Psychiatric Association (WPA)2026

Network analysis of the genetic relationships between twenty psychiatric and substance use disorders.

Kenneth S Kendler, Henrik Ohlsson, Jan Sundquist, Kristina Sundquist

Abstract read
In one paragraph

Article in World psychiatry : official journal of the World Psychiatric Association (WPA), 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
–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

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

4 authors.

Kenneth S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Henrik OhlssonCenter for Primary Health Care Research, Department of Clinical Sciences, Lund University, Malmö, Sweden.
Jan SundquistCenter for Primary Health Care Research, Department of Clinical Sciences, Lund University, Malmö, Sweden.
Kristina SundquistCenter for Primary Health Care Research, Department of Clinical Sciences, Lund University, Malmö, Sweden.

Funding

Genetic, Social, and Developmental Epidemiology of Drug Use DisordersR01DA030005 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENNETH SEEDMAN KENDLER, JAN O SUNDQUIST · 2010 to 2026
$7.6M
Social, Developmental and Genetic Epidemiology of Alcohol Use DisordersR01AA023534 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN, SUNDQUIST, KRISTINA · 2015 to 2023
$4.0M
Risk Pathways to Major Depression: Integrating Genetic-Epidemiological, Developmental, and Molecular Genetic Strategies in Danish and Swedish National RegistersR01MH139865 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENNETH SEEDMAN KENDLER, Andrew J Schork · 2025 to 2026
$1.1M
NIAAA NIH HHS R01 AA023534NIDA NIH HHS R01 DA030005NIMH NIH HHS R01 MH139865
6 · The paper itself

Abstract

We sought to clarify, using network analysis, the structure of genetic risk factors for a wide range of psychiatric and substance use disorders. Using split halves (N=1,510,974), we computed the family genetic risk scores (FGRSs) for 20 psychiatric and substance use disorders assessed in treated individuals from the entire Swedish population born between 1960 and 2000. We calculated a genetic correlation matrix for them to which we applied an EBICglasso network analysis. The network was dense, with five inter-connected clusters of genetic risks for internalizing, externalizing, neurodevelopmental, eating, and psychotic disorders. Genetic risks for four disorders were transitional across clusters: attention-deficit/hyperactivity disorder (ADHD) between neurodevelopmental and externalizing disorders; bipolar disorder (BD) between internalizing and psychotic disorders; obsessive-compulsive disorder (OCD) between internalizing and eating disorders; and autism spectrum disorder (ASD) between neurodevelopmental and psychotic disorders. The most central nodes in the network were genetic risks for major depression (MD) and drug use disorder. The strongest links of genetic risk for BD were with genetic risks for MD and schizoaffective disorder, with no direct link with schizophrenia. We then added genetic risks for borderline personality disorder (BPD), suicide attempt (SA) and suicide death (SD). Genetic risk for BPD had diverse links to genetic risks for SA, BD, internalizing, externalizing, and eating disorders. Genetic risks for SA and SD had their strongest edges with, respectively, genetic risks for drug use and alcohol use disorder. Our results were stable across split halves and when sampling only one sibling per family. Compared to standard factor analytic methods, network analyses can provide both confirmatory results and novel insights into the structure of genetic risks for a variety of psychiatric disorders.

Indexed as

bipolar disorderborderline personality disorderdrug use disordergenetic riskmajor depressionnational registersNetwork analysissuicide attemptsuicide death

Identifiers

PMID42742582
PMCPMC13576960

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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.