Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model

Complex traits are often influenced by genetic and non-genetic factors (such as environmental exposures), which are themselves interconnected. Here, the authors develop a method for disentangling genotype–covariate correlation and interaction, and investigate their effects on estimating statistical...

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Autores principales:	Guiyan Ni, Julius van der Werf, Xuan Zhou, Elina Hyppönen, Naomi R. Wray, S. Hong Lee
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/b73da63376ad4ac8b1df5ee607da5804
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id	oai:doaj.org-article:b73da63376ad4ac8b1df5ee607da5804
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spelling	oai:doaj.org-article:b73da63376ad4ac8b1df5ee607da58042021-12-02T17:01:54ZGenotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model10.1038/s41467-019-10128-w2041-1723https://doaj.org/article/b73da63376ad4ac8b1df5ee607da58042019-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10128-whttps://doaj.org/toc/2041-1723Complex traits are often influenced by genetic and non-genetic factors (such as environmental exposures), which are themselves interconnected. Here, the authors develop a method for disentangling genotype–covariate correlation and interaction, and investigate their effects on estimating statistical genetic parameters.Guiyan NiJulius van der WerfXuan ZhouElina HyppönenNaomi R. WrayS. Hong LeeNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-15 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Guiyan Ni Julius van der Werf Xuan Zhou Elina Hyppönen Naomi R. Wray S. Hong Lee Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model
description	Complex traits are often influenced by genetic and non-genetic factors (such as environmental exposures), which are themselves interconnected. Here, the authors develop a method for disentangling genotype–covariate correlation and interaction, and investigate their effects on estimating statistical genetic parameters.
format	article
author	Guiyan Ni Julius van der Werf Xuan Zhou Elina Hyppönen Naomi R. Wray S. Hong Lee
author_facet	Guiyan Ni Julius van der Werf Xuan Zhou Elina Hyppönen Naomi R. Wray S. Hong Lee
author_sort	Guiyan Ni
title	Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model
title_short	Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model
title_full	Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model
title_fullStr	Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model
title_full_unstemmed	Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model
title_sort	genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/b73da63376ad4ac8b1df5ee607da5804
work_keys_str_mv	AT guiyanni genotypecovariatecorrelationandinteractiondisentangledbyawholegenomemultivariatereactionnormmodel AT juliusvanderwerf genotypecovariatecorrelationandinteractiondisentangledbyawholegenomemultivariatereactionnormmodel AT xuanzhou genotypecovariatecorrelationandinteractiondisentangledbyawholegenomemultivariatereactionnormmodel AT elinahypponen genotypecovariatecorrelationandinteractiondisentangledbyawholegenomemultivariatereactionnormmodel AT naomirwray genotypecovariatecorrelationandinteractiondisentangledbyawholegenomemultivariatereactionnormmodel AT shonglee genotypecovariatecorrelationandinteractiondisentangledbyawholegenomemultivariatereactionnormmodel
_version_	1718382047786958848

Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model

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