3.8 Article

Examining the source of increased bipolar disorder and major depressive disorder common risk variation burden in multiplex schizophrenia families

Journal

SCHIZOPHRENIA
Volume 8, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41537-022-00317-w

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Funding

  1. Wellcome Trust Case Control Consortium 2 project [085475/B/08/Z, 085475/Z/08/Z]
  2. Wellcome Trust [072894/Z/03/Z, 090532/Z/09/Z, 075491/Z/04/B]
  3. Science Foundation Ireland [08/IN.1/B1916]
  4. NARSAD Young Investigator [28599, K25-AA03007]
  5. [R01-MH114593]
  6. [R01-MH083094]
  7. [R01-MH062276]
  8. [R01-MH068881]

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This study found that members of multiplex schizophrenia families have an increased polygenic risk for bipolar disorder and major depressive disorder, which is largely attributable to the shared genetic risk with schizophrenia rather than the unique genetic risk specific to affective disorders.
Psychotic and affective disorders often aggregate in the relatives of probands with schizophrenia, and genetic studies show substantial genetic correlation among schizophrenia, bipolar disorder, and major depressive disorder. In this study, we examined the polygenic risk burden of bipolar disorder and major depressive disorder in 257 multiplex schizophrenia families (N = 1005) from the Irish Study of High-Density Multiplex Schizophrenia Families versus 2205 ancestry-matched controls. Our results indicate that members of multiplex schizophrenia families have an increased polygenic risk for bipolar disorder and major depressive disorder compared to population controls. However, this observation is largely attributable to the part of the genetic risk that bipolar disorder or major depressive disorder share with schizophrenia due to genetic correlation, rather than the affective portion of the genetic risk unique to them. These findings suggest that a complete interpretation of cross-disorder polygenic risks in multiplex families requires an assessment of the relative contribution of shared versus unique genetic factors to account for genetic correlations across psychiatric disorders.

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