Nature Communications (Oct 2021)

Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets

  • Carla Márquez-Luna,
  • Steven Gazal,
  • Po-Ru Loh,
  • Samuel S. Kim,
  • Nicholas Furlotte,
  • Adam Auton,
  • 23andMe Research Team,
  • Alkes L. Price

DOI
https://doi.org/10.1038/s41467-021-25171-9
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 11

Abstract

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Incorporating functional information has shown promise for improving polygenic risk prediction of complex traits. Here, the authors describe polygenic prediction method LDpred-funct, and demonstrate its utility across 21 heritable traits in the UK Biobank.