Authors

Andrew D Grotzinger
Josefin Werme
Wouter J Peyrot
Oleksandr Frei
Christiaan de Leeuw
Lucy K Bicks
Qiuyu Guo
Michael P Margolis
Brandon J Coombes
Anthony Batzler
Vanessa Pazdernik
Joanna M Biernacka
Ole A Andreassen
Verneri Anttila
Anders D Børglum
Gerome Breen
Na Cai
Ditte Demontis
Howard J Edenberg
Stephen V Faraone
Barbara Franke
Michael J Gandal
Joel Gelernter
Alexander S Hatoum
John M Hettema
Emma C Johnson
Katherine G Jonas
James A Knowles
Karestan C Koenen
Adam X Maihofer
Travis T Mallard
Manuel Mattheisen
Karen S Mitchell
Benjamin M Neale
Caroline M Nievergelt
John I Nurnberger
Kevin S O'Connell
Roseann E Peterson
Elise B Robinson
Sandra S Sanchez-Roige
Susan L Santangelo
Jeremiah M Scharf
Hreinn Stefansson
Kari Stefansson
Murray B Stein
Nora I Strom
Laura M Thornton
Elliot M Tucker-Drob
Brad Verhulst
Irwin D Waldman
G Bragi Walters
Naomi R Wray
Dongmei Yu
Anxiety Disorders Working Group of the Psychiatric Genomics Consortium
Attention-Deficit/Hyperactivity Disorder Working Group of the Psychiatric Genomics Consortium
Autism Spectrum Disorders Working Group of the Psychiatric Genomics Consortium
Bipolar Disorder Working Group of the Psychiatric Genomics Consortium
Eating Disorders Working Group of the Psychiatric Genomics Consortium
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Nicotine Dependence GenOmics (INDIGO) Consortium
Obsessive-Compulsive Disorder and Tourette Syndrome Working Group of the Psychiatric Genomics Consortium
Post-Traumatic Stress Disorder Working Group of the Psychiatric Genomics Consortium
Schizophrenia Working Group of the Psychiatric Genomics Consortium
Substance Use Disorders Working Group of the Psychiatric Genomics Consortium
Phil H Lee
Kenneth S Kendler
Jordan W Smoller

Document Type

Article

Publication Date

1-1-2026

Keywords

JMG, Humans, Mental Disorders, Schizophrenia, Bipolar Disorder, Adult, Male, Major Depressive Disorder, Genome-Wide Association Study, Multifactorial Inheritance, Female, Child, Stress Disorders, Post-Traumatic, Genetic Pleiotropy, Genomics, Genetic Predisposition to Disease

JAX Source

Nature. 2026;649(8096):406-15.

ISSN

1476-4687

PMID

41372416

DOI

https://doi.org/10.1038/s41586-025-09820-3

Abstract

Psychiatric disorders display high levels of comorbidity and genetic overlap, challenging current diagnostic boundaries. For disorders for which diagnostic separation has been most debated, such as schizophrenia and bipolar disorder, genomic methods have revealed that the majority of genetic signal is shared. While over a hundred pleiotropic loci have been identified by recent cross-disorder analyses, the full scope of shared and disorder-specific genetic influences remains poorly defined. Here we addressed this gap by triangulating across a suite of cutting-edge statistical and functional genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders (1,056,201 cases). Using genetic association data from common variants, we identified and characterized five underlying genomic factors that explained the majority of the genetic variance of the individual disorders (around 66% on average) and were associated with 238 pleiotropic loci. The two factors defined by (1) Schizophrenia and bipolar disorders (SB factor); and (2) major depression, PTSD and anxiety (Internalizing factor) showed high levels of polygenic overlap and local genetic correlation and very few disorder-specific loci. The genetic signal shared across all 14 disorders was enriched for broad biological processes (for example, transcriptional regulation), while more specific pathways were shared at the level of the individual factors. The shared genetic signal across the SB factor was substantially enriched in genes expressed in excitatory neurons, whereas the Internalizing factor was associated with oligodendrocyte biology. These observations may inform a more neurobiologically valid psychiatric nosology and implicate targets for therapeutic development designed to treat commonly occurring comorbid presentations.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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