Multiethnic polygenic risk scores improve risk prediction in diverse populations.

ABSTRACT: Methods for genetic risk prediction have been widely investigated in recent years. However, most available training data involves European samples, and it is currently unclear how to accurately predict disease risk in other populations. Previous studies have used either training data from European samples in large sample size or training data from the target population in small sample size, but not both. Here, we introduce a multiethnic polygenic risk score that combines training data from European samples and training data from the target population. We applied this approach to predict type 2 diabetes (T2D) in a Latino cohort using both publicly available European summary statistics in large sample size (N_eff  = 40k) and Latino training data in small sample size (N_eff 

SUBMITTER: Marquez-Luna C 

PROVIDER: S-EPMC5726434 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature