A multi-marker association method for genome-wide association studies without the need for population structure correction

Currently available methods for phenotype to genetic markers association need to account for population structure. Here, Klasen et al. devise a statistical method called Quantitative Trait Cluster Association Test (QTCAT) that overcomes the need for population structure correction.

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Autores principales:	Jonas R. Klasen, Elke Barbez, Lukas Meier, Nicolai Meinshausen, Peter Bühlmann, Maarten Koornneef, Wolfgang Busch, Korbinian Schneeberger
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2016
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d056975db5004833bb8a7d22f407ddcd
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spelling	oai:doaj.org-article:d056975db5004833bb8a7d22f407ddcd2021-12-02T14:38:56ZA multi-marker association method for genome-wide association studies without the need for population structure correction10.1038/ncomms132992041-1723https://doaj.org/article/d056975db5004833bb8a7d22f407ddcd2016-11-01T00:00:00Zhttps://doi.org/10.1038/ncomms13299https://doaj.org/toc/2041-1723Currently available methods for phenotype to genetic markers association need to account for population structure. Here, Klasen et al. devise a statistical method called Quantitative Trait Cluster Association Test (QTCAT) that overcomes the need for population structure correction.Jonas R. KlasenElke BarbezLukas MeierNicolai MeinshausenPeter BühlmannMaarten KoornneefWolfgang BuschKorbinian SchneebergerNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-8 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jonas R. Klasen Elke Barbez Lukas Meier Nicolai Meinshausen Peter Bühlmann Maarten Koornneef Wolfgang Busch Korbinian Schneeberger A multi-marker association method for genome-wide association studies without the need for population structure correction
description	Currently available methods for phenotype to genetic markers association need to account for population structure. Here, Klasen et al. devise a statistical method called Quantitative Trait Cluster Association Test (QTCAT) that overcomes the need for population structure correction.
format	article
author	Jonas R. Klasen Elke Barbez Lukas Meier Nicolai Meinshausen Peter Bühlmann Maarten Koornneef Wolfgang Busch Korbinian Schneeberger
author_facet	Jonas R. Klasen Elke Barbez Lukas Meier Nicolai Meinshausen Peter Bühlmann Maarten Koornneef Wolfgang Busch Korbinian Schneeberger
author_sort	Jonas R. Klasen
title	A multi-marker association method for genome-wide association studies without the need for population structure correction
title_short	A multi-marker association method for genome-wide association studies without the need for population structure correction
title_full	A multi-marker association method for genome-wide association studies without the need for population structure correction
title_fullStr	A multi-marker association method for genome-wide association studies without the need for population structure correction
title_full_unstemmed	A multi-marker association method for genome-wide association studies without the need for population structure correction
title_sort	multi-marker association method for genome-wide association studies without the need for population structure correction
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/d056975db5004833bb8a7d22f407ddcd
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A multi-marker association method for genome-wide association studies without the need for population structure correction

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