Polygenic prediction via Bayesian regression and continuous shrinkage priors

Polygenic risk scores (PRS) have the potential to predict complex diseases and traits from genetic data. Here, Ge et al. develop PRS-CS which uses a Bayesian regression framework, continuous shrinkage (CS) priors and an external LD reference panel for polygenic prediction of binary and quantitative...

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Autores principales:	Tian Ge, Chia-Yen Chen, Yang Ni, Yen-Chen Anne Feng, Jordan W. Smoller
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6c6882b541884b08be03470e789b8afe
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spelling	oai:doaj.org-article:6c6882b541884b08be03470e789b8afe2021-12-02T16:57:31ZPolygenic prediction via Bayesian regression and continuous shrinkage priors10.1038/s41467-019-09718-52041-1723https://doaj.org/article/6c6882b541884b08be03470e789b8afe2019-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09718-5https://doaj.org/toc/2041-1723Polygenic risk scores (PRS) have the potential to predict complex diseases and traits from genetic data. Here, Ge et al. develop PRS-CS which uses a Bayesian regression framework, continuous shrinkage (CS) priors and an external LD reference panel for polygenic prediction of binary and quantitative traits from GWAS summary statistics.Tian GeChia-Yen ChenYang NiYen-Chen Anne FengJordan W. SmollerNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Tian Ge Chia-Yen Chen Yang Ni Yen-Chen Anne Feng Jordan W. Smoller Polygenic prediction via Bayesian regression and continuous shrinkage priors
description	Polygenic risk scores (PRS) have the potential to predict complex diseases and traits from genetic data. Here, Ge et al. develop PRS-CS which uses a Bayesian regression framework, continuous shrinkage (CS) priors and an external LD reference panel for polygenic prediction of binary and quantitative traits from GWAS summary statistics.
format	article
author	Tian Ge Chia-Yen Chen Yang Ni Yen-Chen Anne Feng Jordan W. Smoller
author_facet	Tian Ge Chia-Yen Chen Yang Ni Yen-Chen Anne Feng Jordan W. Smoller
author_sort	Tian Ge
title	Polygenic prediction via Bayesian regression and continuous shrinkage priors
title_short	Polygenic prediction via Bayesian regression and continuous shrinkage priors
title_full	Polygenic prediction via Bayesian regression and continuous shrinkage priors
title_fullStr	Polygenic prediction via Bayesian regression and continuous shrinkage priors
title_full_unstemmed	Polygenic prediction via Bayesian regression and continuous shrinkage priors
title_sort	polygenic prediction via bayesian regression and continuous shrinkage priors
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/6c6882b541884b08be03470e789b8afe
work_keys_str_mv	AT tiange polygenicpredictionviabayesianregressionandcontinuousshrinkagepriors AT chiayenchen polygenicpredictionviabayesianregressionandcontinuousshrinkagepriors AT yangni polygenicpredictionviabayesianregressionandcontinuousshrinkagepriors AT yenchenannefeng polygenicpredictionviabayesianregressionandcontinuousshrinkagepriors AT jordanwsmoller polygenicpredictionviabayesianregressionandcontinuousshrinkagepriors
_version_	1718382505040543744

Polygenic prediction via Bayesian regression and continuous shrinkage priors

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