Article
Improving GWAS discovery and genomic prediction accuracy in biobank data.
Proceedings of the National Academy of Sciences of the United States of America - 2 Aug 2022
Orliac Etienne J, Trejo Banos Daniel, Ojavee Sven E, Läll Kristi, Mägi Reedik, Visscher Peter M, Robinson Matthew R
Abstract excerpt
Genetically informed, deep-phenotyped biobanks are an important research resource and it is imperative that the most powerful, versatile, and efficient analysis approaches are used. Here, we apply our recently developed Bayesian grouped mixture of regressions model (GMRM) in the UK and Estonian Biobanks and obtain the highest genomic prediction accuracy reported to date across 21 heritable traits. When compared...
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