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Improved polygenic prediction by Bayesian multiple regression on summary statistics

Improved polygenic prediction by Bayesian multiple regression on summary statistics

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_08ca063725f844dd8f1661fc58a72c97

Improved polygenic prediction by Bayesian multiple regression on summary statistics

About this item

Full title

Improved polygenic prediction by Bayesian multiple regression on summary statistics

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2019-11, Vol.10 (1), p.5086-11, Article 5086

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

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-validat...

Alternative Titles

Full title

Improved polygenic prediction by Bayesian multiple regression on summary statistics

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_08ca063725f844dd8f1661fc58a72c97

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_08ca063725f844dd8f1661fc58a72c97

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-019-12653-0

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