Quantification of the overall contribution of gene-environment interaction for obesity-related traits

Most gene-by-environment interaction methods rely on the availability of the interacting environment. Here, the authors propose a robust maximum likelihood method for estimating the overall statistical interaction between a genetic risk score for a continuous outcome and all environmental variables.

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Autores principales: Jonathan Sulc, Ninon Mounier, Felix Günther, Thomas Winkler, Andrew R. Wood, Timothy M. Frayling, Iris M. Heid, Matthew R. Robinson, Zoltán Kutalik
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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/d57fd22b9d4044d6822ee669df08a385
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spelling oai:doaj.org-article:d57fd22b9d4044d6822ee669df08a3852021-12-02T14:40:52ZQuantification of the overall contribution of gene-environment interaction for obesity-related traits10.1038/s41467-020-15107-02041-1723https://doaj.org/article/d57fd22b9d4044d6822ee669df08a3852020-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15107-0https://doaj.org/toc/2041-1723Most gene-by-environment interaction methods rely on the availability of the interacting environment. Here, the authors propose a robust maximum likelihood method for estimating the overall statistical interaction between a genetic risk score for a continuous outcome and all environmental variables.Jonathan SulcNinon MounierFelix GüntherThomas WinklerAndrew R. WoodTimothy M. FraylingIris M. HeidMatthew R. RobinsonZoltán KutalikNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Jonathan Sulc
Ninon Mounier
Felix Günther
Thomas Winkler
Andrew R. Wood
Timothy M. Frayling
Iris M. Heid
Matthew R. Robinson
Zoltán Kutalik
Quantification of the overall contribution of gene-environment interaction for obesity-related traits
description Most gene-by-environment interaction methods rely on the availability of the interacting environment. Here, the authors propose a robust maximum likelihood method for estimating the overall statistical interaction between a genetic risk score for a continuous outcome and all environmental variables.
format article
author Jonathan Sulc
Ninon Mounier
Felix Günther
Thomas Winkler
Andrew R. Wood
Timothy M. Frayling
Iris M. Heid
Matthew R. Robinson
Zoltán Kutalik
author_facet Jonathan Sulc
Ninon Mounier
Felix Günther
Thomas Winkler
Andrew R. Wood
Timothy M. Frayling
Iris M. Heid
Matthew R. Robinson
Zoltán Kutalik
author_sort Jonathan Sulc
title Quantification of the overall contribution of gene-environment interaction for obesity-related traits
title_short Quantification of the overall contribution of gene-environment interaction for obesity-related traits
title_full Quantification of the overall contribution of gene-environment interaction for obesity-related traits
title_fullStr Quantification of the overall contribution of gene-environment interaction for obesity-related traits
title_full_unstemmed Quantification of the overall contribution of gene-environment interaction for obesity-related traits
title_sort quantification of the overall contribution of gene-environment interaction for obesity-related traits
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/d57fd22b9d4044d6822ee669df08a385
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