Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals

Polygenic scores are believed to hold future promise for trait prediction and personalized medicine, but are sensitive to demographic history. Here, Marnetto et al. develop partial polygenic scores supplemented with local ancestry deconvolution which improves prediction accuracy into recently admixe...

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Autores principales:	Davide Marnetto, Katri Pärna, Kristi Läll, Ludovica Molinaro, Francesco Montinaro, Toomas Haller, Mait Metspalu, Reedik Mägi, Krista Fischer, Luca Pagani
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f95c60326b1a4da89c378b225bf30d78
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spelling	oai:doaj.org-article:f95c60326b1a4da89c378b225bf30d782021-12-02T17:31:54ZAncestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals10.1038/s41467-020-15464-w2041-1723https://doaj.org/article/f95c60326b1a4da89c378b225bf30d782020-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15464-whttps://doaj.org/toc/2041-1723Polygenic scores are believed to hold future promise for trait prediction and personalized medicine, but are sensitive to demographic history. Here, Marnetto et al. develop partial polygenic scores supplemented with local ancestry deconvolution which improves prediction accuracy into recently admixed European populations.Davide MarnettoKatri PärnaKristi LällLudovica MolinaroFrancesco MontinaroToomas HallerMait MetspaluReedik MägiKrista FischerLuca PaganiNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Davide Marnetto Katri Pärna Kristi Läll Ludovica Molinaro Francesco Montinaro Toomas Haller Mait Metspalu Reedik Mägi Krista Fischer Luca Pagani Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals
description	Polygenic scores are believed to hold future promise for trait prediction and personalized medicine, but are sensitive to demographic history. Here, Marnetto et al. develop partial polygenic scores supplemented with local ancestry deconvolution which improves prediction accuracy into recently admixed European populations.
format	article
author	Davide Marnetto Katri Pärna Kristi Läll Ludovica Molinaro Francesco Montinaro Toomas Haller Mait Metspalu Reedik Mägi Krista Fischer Luca Pagani
author_facet	Davide Marnetto Katri Pärna Kristi Läll Ludovica Molinaro Francesco Montinaro Toomas Haller Mait Metspalu Reedik Mägi Krista Fischer Luca Pagani
author_sort	Davide Marnetto
title	Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals
title_short	Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals
title_full	Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals
title_fullStr	Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals
title_full_unstemmed	Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals
title_sort	ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/f95c60326b1a4da89c378b225bf30d78
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Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals

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