Genomics yields biological and phenotypic insights into bipolar disorder

Kevin S. O’Connell*, Maria Koromina, Tracey van der Veen, Toni Boltz, Friederike S. David, Jessica Mei Kay Yang, Keng Han Lin, Xin Wang, Jonathan R.I. Coleman, Brittany L. Mitchell, Caroline C. McGrouther, Aaditya V. Rangan, Penelope A. Lind, Elise Koch, Arvid Harder, Nadine Parker, Jaroslav Bendl, Kristina Adorjan, Esben Agerbo, Diego AlbaniSilvia Alemany, Ney Alliey-Rodriguez, Thomas D. Als, Till F.M. Andlauer, Anastasia Antoniou, Helga Ask, Nicholas Bass, Michael Bauer, Eva C. Beins, Tim B. Bigdeli, Carsten Bøcker Pedersen, Marco P. Boks, Sigrid Børte, Rosa Bosch, Murielle Brum, Ben M. Brumpton, Nathalie Brunkhorst-Kanaan, Monika Budde, Jonas Bybjerg-Grauholm, William Byerley, Judit Cabana-Domínguez, Murray J. Cairns, Bernardo Carpiniello, Miquel Casas, Pablo Cervantes, Lina Jonsson, Merete Nordentoft, Christos Pantelis, Peter R. Schofield, Thomas Werge, Genoplan Research Team, Estonian Biobank Research Team, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, 23andMe Research Team, Million Veteran Program (MVP), Cooperative Studies Program (CSP) #572, Genomic Psychiatry Cohort (GPC) Investigators, PGC-FG Single cell working group, HUNT All-In Psychiatry

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

6 Citationer (Scopus)

Abstract

Bipolar disorder is a leading contributor to the global burden of disease1. Despite high heritability (60–80%), the majority of the underlying genetic determinants remain unknown2. We analysed data from participants of European, East Asian, African American and Latino ancestries (n = 158,036 cases with bipolar disorder, 2.8 million controls), combining clinical, community and self-reported samples. We identified 298 genome-wide significant loci in the multi-ancestry meta-analysis, a fourfold increase over previous findings3, and identified an ancestry-specific association in the East Asian cohort. Integrating results from fine-mapping and other variant-to-gene mapping approaches identified 36 credible genes in the aetiology of bipolar disorder. Genes prioritized through fine-mapping were enriched for ultra-rare damaging missense and protein-truncating variations in cases with bipolar disorder4, highlighting convergence of common and rare variant signals. We report differences in the genetic architecture of bipolar disorder depending on the source of patient ascertainment and on bipolar disorder subtype (type I or type II). Several analyses implicate specific cell types in the pathophysiology of bipolar disorder, including GABAergic interneurons and medium spiny neurons. Together, these analyses provide additional insights into the genetic architecture and biological underpinnings of bipolar disorder.
OriginalsprogEngelsk
Artikelnummer2417
TidsskriftNature
Antal sider28
ISSN0028-0836
DOI
StatusAccepteret/In press - 2025

Bibliografisk note

Funding Information:
We thank the participants who donated their time, life experiences and DNA to this research, the clinical and scientific teams that worked with them, and the investigators who comprise the PGC. The PGC has received major funding from the US National Institute of Mental Health (PGC4: R01 MH124839, PGC3: U01 MH109528, PGC2: U01 MH094421 and PGC1: U01 MH085520). Statistical analyses were carried out on the NL Genetic Cluster Computer ( http://www.geneticcluster.org ) hosted by SURFsara. The content is solely the responsibility of the authors and does not necessarily represent the official views of the US National Institutes of Health. Individual and cohort-specific funding acknowledgements are detailed in the .

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Limited 2025.

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