Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations

Polygenic scores (PGS) are often based on GWAS data from individuals of European ancestry, thus limiting their use in populations of non-European ancestry. Here, the authors predict the relative accuracy of PGS across ancestries and suggest that causal variants are mostly shared across continents.

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Autores principales: Ying Wang, Jing Guo, Guiyan Ni, Jian Yang, Peter M. Visscher, Loic Yengo
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/8dac5eebf7ee40489c3b6857629f64e9
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spelling oai:doaj.org-article:8dac5eebf7ee40489c3b6857629f64e92021-12-02T16:24:57ZTheoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations10.1038/s41467-020-17719-y2041-1723https://doaj.org/article/8dac5eebf7ee40489c3b6857629f64e92020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17719-yhttps://doaj.org/toc/2041-1723Polygenic scores (PGS) are often based on GWAS data from individuals of European ancestry, thus limiting their use in populations of non-European ancestry. Here, the authors predict the relative accuracy of PGS across ancestries and suggest that causal variants are mostly shared across continents.Ying WangJing GuoGuiyan NiJian YangPeter M. VisscherLoic YengoNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Ying Wang
Jing Guo
Guiyan Ni
Jian Yang
Peter M. Visscher
Loic Yengo
Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations
description Polygenic scores (PGS) are often based on GWAS data from individuals of European ancestry, thus limiting their use in populations of non-European ancestry. Here, the authors predict the relative accuracy of PGS across ancestries and suggest that causal variants are mostly shared across continents.
format article
author Ying Wang
Jing Guo
Guiyan Ni
Jian Yang
Peter M. Visscher
Loic Yengo
author_facet Ying Wang
Jing Guo
Guiyan Ni
Jian Yang
Peter M. Visscher
Loic Yengo
author_sort Ying Wang
title Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations
title_short Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations
title_full Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations
title_fullStr Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations
title_full_unstemmed Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations
title_sort theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/8dac5eebf7ee40489c3b6857629f64e9
work_keys_str_mv AT yingwang theoreticalandempiricalquantificationoftheaccuracyofpolygenicscoresinancestrydivergentpopulations
AT jingguo theoreticalandempiricalquantificationoftheaccuracyofpolygenicscoresinancestrydivergentpopulations
AT guiyanni theoreticalandempiricalquantificationoftheaccuracyofpolygenicscoresinancestrydivergentpopulations
AT jianyang theoreticalandempiricalquantificationoftheaccuracyofpolygenicscoresinancestrydivergentpopulations
AT petermvisscher theoreticalandempiricalquantificationoftheaccuracyofpolygenicscoresinancestrydivergentpopulations
AT loicyengo theoreticalandempiricalquantificationoftheaccuracyofpolygenicscoresinancestrydivergentpopulations
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