The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia

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Abstract

Background: Cognitive impairment is a clinically important feature of schizophrenia. Polygenic risk score (PRS) methods have demonstrated genetic overlap between schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), educational attainment (EA), and IQ, but very few studies have examined associations between these PRS and cognitive phenotypes within schizophrenia cases. Methods: We combined genetic and cognitive data in 3034 schizophrenia cases from 11 samples using the general intelligence factor g as the primary measure of cognition. We used linear regression to examine the association between cognition and PRS for EA, IQ, schizophrenia, BD, and MDD. The results were then meta-analyzed across all samples. A genome-wide association studies (GWAS) of cognition was conducted in schizophrenia cases. Results: PRS for both population IQ (P = 4.39 × 10-28) and EA (P = 1.27 × 10-26) were positively correlated with cognition in those with schizophrenia. In contrast, there was no association between cognition in schizophrenia cases and PRS for schizophrenia (P = .39), BD (P = .51), or MDD (P = .49). No individual variant approached genome-wide significance in the GWAS. Conclusions: Cognition in schizophrenia cases is more strongly associated with PRS that index cognitive traits in the general population than PRS for neuropsychiatric disorders. This suggests the mechanisms of cognitive variation within schizophrenia are at least partly independent from those that predispose to schizophrenia diagnosis itself. Our findings indicate that this cognitive variation arises at least in part due to genetic factors shared with cognitive performance in populations and is not solely due to illness or treatment-related factors, although our findings are consistent with important contributions from these factors.

Original languageEnglish
Pages (from-to)336-344
Number of pages9
JournalSchizophrenia Bulletin
Volume46
Issue number2
Early online date17 Jun 2019
DOIs
Publication statusPublished - Mar 2020

Keywords

  • Bioinformatics
  • Genomics
  • Intelligence
  • Psychiatry
  • bioinformatics
  • genomics
  • psychiatry
  • intelligence
  • Genome-Wide Association Study
  • Datasets as Topic
  • Humans
  • Intelligence/genetics
  • Educational Status
  • Multifactorial Inheritance
  • Depressive Disorder, Major/genetics
  • Bipolar Disorder/genetics
  • Psychotic Disorders/genetics
  • Schizophrenia/genetics

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