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Mapping the genetic landscape across 14 psychiatric disorders

  • 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, Anxiety Disorders Working Group of the Psychiatric Genomics Consortium, Attention-Deficit/Hyperactivity Disorder (ADHD) 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
  • University of Colorado Boulder
  • Vrije Universiteit Amsterdam
  • University of Oslo
  • University of California at Los Angeles
  • Amgen Incorporated
  • Mayo Clinic Rochester, MN
  • Massachusetts General Hospital
  • Broad Institute of MIT and Harvard
  • Center for Genomics and Personalized Medicine
  • Aarhus University
  • Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH)
  • King's College London
  • Computational Health Center
  • Swiss Federal Institute of Technology Zurich
  • Technical University of Munich
  • Indiana University Bloomington
  • SUNY Upstate Medical University
  • Radboud University Nijmegen
  • University of Pennsylvania
  • Center for Applied Genomics
  • Yale University
  • Department of Veterans Affairs
  • Washington University St. Louis
  • Texas A&M University
  • Stony Brook University
  • Rutgers - The State University of New Jersey, New Brunswick
  • Harvard University
  • University of California at San Diego
  • Karolinska Institutet
  • Dalhousie University
  • Ludwig Maximilian University of Munich
  • Boston University
  • SUNY Downstate Health Sciences University
  • Vanderbilt University
  • Maine Medical Center
  • Tufts University
  • deCODE Genetics
  • University of Iceland
  • Humboldt University of Berlin
  • University of North Carolina at Chapel Hill
  • University of Texas at Austin
  • Emory University
  • University of Oxford
  • University of Queensland
  • Virginia Commonwealth University

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Psychiatric disorders display high levels of comorbidity and genetic overlap1,2, challenging current diagnostic boundaries. For disorders for which diagnostic separation has been most debated, such as schizophrenia and bipolar disorder3, genomic methods have revealed that the majority of genetic signal is shared4. While over a hundred pleiotropic loci have been identified by recent cross-disorder analyses5, 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 overlap6 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.
Original languageEnglish
Pages (from-to)406-415
Number of pages10
JournalNature
Volume649
Issue number8096
DOIs
Publication statusPublished - 8 Jan 2026

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