Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders

Research output: Contribution to journalJournal articleResearchpeer-review

  • Gabriëlla A.M. Blokland
  • Jakob Grove
  • Chia Yen Chen
  • Chris Cotsapas
  • Stuart Tobet
  • Robert Handa
  • Stephan Ripke
  • Benjamin M. Neale
  • Aiden Corvin
  • James T.R. Walters
  • Kai How Farh
  • Peter A. Holmans
  • Phil Lee
  • Brendan Bulik-Sullivan
  • David A. Collier
  • Hailiang Huang
  • Pers, Tune H
  • Ingrid Agartz
  • Esben Agerbo
  • Margot Albus
  • Madeline Alexander
  • Farooq Amin
  • Silviu A. Bacanu
  • Martin Begemann
  • Richard A. Belliveau
  • Judit Bene
  • Sarah E. Bergen
  • Elizabeth Bevilacqua
  • Tim B. Bigdeli
  • Donald W. Black
  • Richard Bruggeman
  • Nancy G. Buccola
  • Randy L. Buckner
  • William Byerley
  • Wiepke Cahn
  • Guiqing Cai
  • Dominique Campion
  • Rita M. Cantor
  • Mark Hansen
  • Thomas Hansen
  • Tao Li
  • Line Olsen
  • Marie Bækvad-Hansen
  • Carsten Bøcker Pedersen
  • Marianne Giørtz Pedersen
  • Christine Søholm Hansen
  • Hansen, Thomas Folkmann
  • Nordentoft, Merete
  • Werge, Thomas
  • Niels Plath
  • Schizophrenia Working Group of the Psychiatric Genomics Consortium
  • Bipolar Disorder Working Group of the Psychiatric Genomics Consortium
  • Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
  • Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium
  • iPSYCH

Background: Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. Methods: We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. Results: Across disorders, genome-wide significant single nucleotide polymorphism–by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10−8), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10−6) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10−7; rs73033497, p = 8.8 × 10−7; rs7914279, p = 6.4 × 10−7), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10−7) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10−7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10−7) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05). Conclusions: In the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.

Original languageEnglish
JournalBiological Psychiatry
Issue number1
Pages (from-to)107-117
Publication statusPublished - 2022

    Research areas

  • Bipolar disorder, Genome-wide association study, Genotype-by-sex interaction, Major depressive disorder, Schizophrenia, Sex differences

ID: 275944351