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Improved polygenic prediction by Bayesian multiple regression on summary statistics
- Source :
- Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
- Publication Year :
- 2019
- Publisher :
- Nature Portfolio, 2019.
-
Abstract
- 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 methods.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 10
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.08ca063725f844dd8f1661fc58a72c97
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-019-12653-0