Improved polygenic prediction by Bayesian multiple regression on summary statistics.

Volume: 10, Issue: 1, Pages: 5086 - 5086
Published: Nov 8, 2019
Abstract
Accurate prediction of an individual’s phenotype from their DNA sequence is one of the great promises of genomics and precision medicine. We extend a powerful individual-level data Bayesian multiple regression model (BayesR) to one that utilises summary statistics from genome-wide association studies (GWAS), SBayesR. In simulation and cross-validation using 12 real traits and 1.1 million variants on 350,000 individuals from the UK Biobank,...
Paper Details
Title
Improved polygenic prediction by Bayesian multiple regression on summary statistics.
Published Date
Nov 8, 2019
Volume
10
Issue
1
Pages
5086 - 5086
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