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Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes

  • John E. McGeary
  • , Chelsie E. Benca-Bachman
  • , Victoria A. Risner
  • , Christopher G. Beevers
  • , Brandon E. Gibb
  • , Rohan H.C. Palmer

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Twin studies indicate that 30–40% of the disease liability for depression can be attributed to genetic differences. Here, we assess the explanatory ability of polygenic scores (PGS) based on broad- (PGSBD) and clinical- (PGSMDD) depression summary statistics from the UK Biobank in an independent sample of adults (N = 210; 100% European Ancestry) who were extensively phenotyped for depression and related neurocognitive traits (e.g., rumination, emotion regulation, anhedonia, and resting frontal alpha asymmetry). The UK Biobank-derived PGSBD had small associations with MDD, depression severity, anhedonia, cognitive reappraisal, brooding, and suicidal ideation but only the association with suicidal ideation remained statistically significant after correcting for multiple comparisons. Similarly small associations were observed for the PGSMDD but none remained significant after correcting for multiple comparisons. These findings provide important initial guidance about the expected effect sizes between current UKB PGSs for depression and depression-related neurocognitive phenotypes.

Original languageEnglish
Article number6534
JournalScientific Reports
Volume13
Issue number1
DOIs
StatePublished - Dec 2023

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