Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets
oleh: Carla Márquez-Luna, Steven Gazal, Po-Ru Loh, Samuel S. Kim, Nicholas Furlotte, Adam Auton, 23andMe Research Team, Alkes L. Price
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2021-10-01 |
Deskripsi
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.