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Polygenic prediction via Bayesian regression and continuous shrinkage priors

Polygenic prediction via Bayesian regression and continuous shrinkage priors

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6c6882b541884b08be03470e789b8afe

Polygenic prediction via Bayesian regression and continuous shrinkage priors

About this item

Full title

Polygenic prediction via Bayesian regression and continuous shrinkage priors

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2019-04, Vol.10 (1), p.1776-1776, Article 1776

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Polygenic risk scores (PRS) have shown promise in predicting human complex traits and diseases. Here, we present PRS-CS, a polygenic prediction method that infers posterior effect sizes of single nucleotide polymorphisms (SNPs) using genome-wide association summary statistics and an external linkage disequilibrium (LD) reference panel. PRS-CS utili...

Alternative Titles

Full title

Polygenic prediction via Bayesian regression and continuous shrinkage priors

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6c6882b541884b08be03470e789b8afe

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6c6882b541884b08be03470e789b8afe

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-019-09718-5

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