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Lloyd-Jones, Luke R; Zeng, Jian; Sidorenko, Julia; Yengo, Loïc; Moser, Gerhard; Kemper, Kathryn E; Wang, Huanwei; Zheng, Zhili; Magi, Reedik; Esko, Tõnu; Metspalu, Andres; Wray, Naomi R; Goddard, Michael E; Yang, Jian; Visscher, Peter M
Nature communications, 11/2019, Letnik: 10, Številka: 1Journal Article
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, SBayesR improves prediction accuracy relative to commonly used state-of-the-art summary statistics methods at a fraction of the computational resources. Furthermore, using summary statistics for variants from the largest GWAS meta-analysis (n ≈ 700, 000) on height and BMI, we show that on average across traits and two independent data sets that SBayesR improves prediction R by 5.2% relative to LDpred and by 26.5% relative to clumping and p value thresholding.
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