Improved polygenic prediction by Bayesian multiple regression on summary statistics

Improved polygenic prediction by Bayesian multiple regression on summary statistics

Various approaches are being used for polygenic prediction including Bayesian multiple regression methods that require access to individual-level genotype data. Here, the authors extend BayesR to utilise GWAS summary statistics (SBayesR) and show that it outperforms other summary statistic-based met...

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Détails bibliographiques
Auteurs principaux: Luke R. Lloyd-Jones, Jian Zeng, Julia Sidorenko, Loïc Yengo, Gerhard Moser, Kathryn E. Kemper, Huanwei Wang, Zhili Zheng, Reedik Magi, Tõnu Esko, Andres Metspalu, Naomi R. Wray, Michael E. Goddard, Jian Yang, Peter M. Visscher
Format: Article
Langue:English
Publié: Nature Portfolio 2019-11-01
Collection:Nature Communications
Accès en ligne:https://doi.org/10.1038/s41467-019-12653-0

Internet

https://doi.org/10.1038/s41467-019-12653-0

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