4.8 Article

Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis

期刊

NATURE GENETICS
卷 54, 期 5, 页码 548-+

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41588-022-01057-4

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资金

  1. National Institute of Mental Health of the National Institutes of Health (NIH) [R01MH120219]
  2. NIH [R01HD083613, R01AG054628, R01MH119243, R00MH101367, P2CHD042849, P30AG066614]
  3. Jacobs Foundation
  4. ZonMW from The Netherlands Organisation for Health Research and Development [849200011, 531003014]
  5. VENI grant - NWO [VI.Veni.191G.030]
  6. European Union [721567, 602768, 602805]
  7. Aggression in Children: unraveling gene-environment interplay to inform Treatment and InterventiON strategies (ACTION) project.
  8. National Institute for Health Research Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London
  9. Wellcome Trust [104036/Z/14/Z, 216767/Z/19/Z]
  10. UKRI MRC [MC_PC_17209, MR/S035818/1]
  11. Deutsche Forschungsgemeinschaft [DFG: CRU 125, CRC TRR 58 A1/A5, 44541416]
  12. Horizon 2020 Research and Innovation Programme [728018, 643051]
  13. Fritz Thyssen Foundation [10.13.1185]
  14. ERA-Net NEURON/RESPOND [01EW1602B]
  15. ERA-Net NEURON/DECODE [FKZ01EW1902]
  16. 5-100 Russian Academic Excellence Project
  17. Lundbeck Foundation [R102-A9118, R155-2014-1724, R248-2017-2003]
  18. EU FP7 Program [602805]
  19. H2020 Program ('CoCA') [667302]
  20. NIMH [1U01MH109514-01]
  21. Novo Nordisk Foundation
  22. MRC [MR/S035818/1, MC_PC_17209] Funding Source: UKRI

向作者/读者索取更多资源

A joint analysis of 11 major psychiatric disorders identified four broad factors underlying the genetic correlations among the disorders, along with multiple loci acting on these factors. These findings suggest the presence of genetic overlap among different psychiatric disorders, but also highlight the heterogeneity within each factor. However, a single dimension of genetic risk does not appear to be useful in explaining the biobehavioral correlates or individual variants of psychiatric disorders.
Joint analysis of 11 major psychiatric disorders identifies four broad factor underlying genetic correlations among the disorders. Association analyses detect 152 loci acting on these factors and identify 9 loci that act heterogeneously across disorders. We interrogate the joint genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis. We identify four broad factors (neurodevelopmental, compulsive, psychotic and internalizing) that underlie genetic correlations among the disorders and test whether these factors adequately explain their genetic correlations with biobehavioral traits. We introduce stratified genomic structural equation modeling, which we use to identify gene sets that disproportionately contribute to genetic risk sharing. This includes protein-truncating variant-intolerant genes expressed in excitatory and GABAergic brain cells that are enriched for genetic overlap across disorders with psychotic features. Multivariate association analyses detect 152 (20 new) independent loci that act on the individual factors and identify nine loci that act heterogeneously across disorders within a factor. Despite moderate-to-high genetic correlations across all 11 disorders, we find little utility of a single dimension of genetic risk across psychiatric disorders either at the level of biobehavioral correlates or at the level of individual variants.

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