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<p>Bipolar disorder is a leading contributor to the global burden of disease<sup><CitationRef CitationID="CR1">1</CitationRef></sup>. Despite high heritability (60–80%), the majority of the underlying genetic determinants remain unknown<sup><CitationRef CitationID="CR2">2</CitationRef></sup>. We analysed data from participants of European, East Asian, African American and Latino ancestries (<i>n</i> = 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 findings<sup><CitationRef CitationID="CR3">3</CitationRef></sup>, 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 disorder<sup><CitationRef CitationID="CR4">4</CitationRef></sup>, highlighting convergence of common and rare variant signals. We report differences in the genetic architecture of bipolar disorder&#xa0;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.</p>

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Genomics yields biological and phenotypic insights into bipolar disorder

  • 期刊论文

  • 发表日期：

    2025年1月22日

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  • 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,
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  • Elise Koch,
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  • Nadine Parker,
  • Jaroslav Bendl,
  • Kristina Adorjan,
  • Esben Agerbo,
  • Diego Albani,
  • Silvia 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,
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  • Chris Chatzinakos,
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  • Nina Dalkner,
  • Franziska Degenhardt,
  • J. Raymond DePaulo,
  • Srdjan Djurovic,
  • Ole Kristian Drange,
  • Valentina Escott-Price,
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  • Katherine Gordon-Smith,
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  • Ian B. Hickie,
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  • Peter A. Holmans,
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  • Masashi Ikeda,
  • Stéphane Jamain,
  • Jessica S. Johnson,
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  • Sarah Kittel-Schneider,
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  • Helena Medeiros,
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  • Derek W. Morris,
  • Paraskevi Moutsatsou,
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  • Claire O’Donovan,
  • Catherine M. Olsen,
  • Georgia Panagiotaropoulou,
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  • Hye Youn Park,
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  • Andrea Pfennig,
  • Claudia Pisanu,
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  • Leonardo Tondo,
  • Paul A. Tooney,
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  • Helmut Vedder,
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  • Ji-Woong Kim,
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摘要

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.