The Landscape of Shared and Divergent Genetic Influences across 14 Psychiatric Disorders

Psychiatric disorders display high levels of comorbidity and genetic overlap. Genomic methods have shown that even for schizophrenia and bipolar disorder, two disorders long-thought to be etiologically distinct, the majority of genetic signal is shared. Furthermore, recent cross-disorder analyses have uncovered over a hundred pleiotropic loci shared across eight disorders. However, the full scope of shared and disorder-specific genetic basis of psychopathology remains largely uncharted. Here, we address this gap by triangulating across a suite of cutting-edge statistical genetic and functional genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders (1,056,201 cases). Our analyses identify and characterize five underlying genomic factors that explain the majority of the genetic variance of the individual disorders (∼66% on average) and are associated with 268 pleiotropic loci. We observed particularly high levels of polygenic overlap and local genetic correlation and very few disorder-specific loci for two factors defined by: (i) schizophrenia and bipolar disorder (“SB factor”), and by (ii) major depression, PTSD, and anxiety (“internalizing factor”). At the functional level, we applied multiple methods which demonstrated that 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. By comparison, the genetic signal shared across all 14 disorders was enriched for broad biological processes (e.g., transcriptional regulation). These results indicate increasing differentiation of biological function at different levels of shared cross-disorder risk, from quite general vulnerability to more specific pathways associated with subsets of disorders. These observations may inform a more neurobiologically valid psychiatric nosology and implicate novel targets for therapeutic developments designed to treat commonly occurring comorbid presentations.

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Publication Details

Journal
Repository for Publications and Research Data (ETH Zurich)
Published
2025-01-15
DOI
https://doi.org/10.3929/ethz-c-000793759
Primary Topic
Genetic Associations and Epidemiology
Type
article
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article

The Landscape of Shared and Divergent Genetic Influences across 14 Psychiatric Disorders

Schizophrenia Working Group, Major Depressive Disorder Working Group, Josefin Werme, Wouter Peyrot et al.
Repository for Publications and Research Data (ETH Zurich)
Genetic Associations and Epidemiology
article

The Landscape of Shared and Divergent Genetic Influences across 14 Psychiatric Disorders

Schizophrenia Working Group, Major Depressive Disorder Working Group, Josefin Werme, Wouter Peyrot, Bipolar Disorder Working Group, Lucy K. Bicks, Ditte Demontis, Michael P. Margolis, Anders D. Børglum, Andrew D. Grotzinger, et al., Christiaan de Leeuw, Ole A. Andreassen, Oleksandr Frei, Brandon J. Coombes, Obsessive-Compulsive Disorder Working Group, Nicotine Dependence GenOmics (iNDiGO) Consortium, Barbara Franke, Howard J. Edenberg, Tourette Syndrome Working Group, Joanna M. Biernacka, Eating Disorders Working Group, Na Cai, Stephen V. Faraone, Vanessa Pazdernik, Post-Traumatic Stress Disorder Working Group, Substance Use Disorders Working Group, Qiuyu Guo
article en

Abstract

Psychiatric disorders display high levels of comorbidity and genetic overlap. Genomic methods have shown that even for schizophrenia and bipolar disorder, two disorders long-thought to be etiologically distinct, the majority of genetic signal is shared. Furthermore, recent cross-disorder analyses have uncovered over a hundred pleiotropic loci shared across eight disorders. However, the full scope of shared and disorder-specific genetic basis of psychopathology remains largely uncharted. Here, we address this gap by triangulating across a suite of cutting-edge statistical genetic and functional genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders (1,056,201 cases). Our analyses identify and characterize five underlying genomic factors that explain the majority of the genetic variance of the individual disorders (∼66% on average) and are associated with 268 pleiotropic loci. We observed particularly high levels of polygenic overlap and local genetic correlation and very few disorder-specific loci for two factors defined by: (i) schizophrenia and bipolar disorder (“SB factor”), and by (ii) major depression, PTSD, and anxiety (“internalizing factor”). At the functional level, we applied multiple methods which demonstrated that 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. By comparison, the genetic signal shared across all 14 disorders was enriched for broad biological processes (e.g., transcriptional regulation). These results indicate increasing differentiation of biological function at different levels of shared cross-disorder risk, from quite general vulnerability to more specific pathways associated with subsets of disorders. These observations may inform a more neurobiologically valid psychiatric nosology and implicate novel targets for therapeutic developments designed to treat commonly occurring comorbid presentations.

Repository for Publications and Research Data (ETH Zurich)
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Genetic Associations and Epidemiology
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