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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Nature Portfolio
2020
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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) |
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DOAJ |
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DOAJ |
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EN |
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Science Q |
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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 |
work_keys_str_mv |
AT jonathansulc quantificationoftheoverallcontributionofgeneenvironmentinteractionforobesityrelatedtraits AT ninonmounier quantificationoftheoverallcontributionofgeneenvironmentinteractionforobesityrelatedtraits AT felixgunther quantificationoftheoverallcontributionofgeneenvironmentinteractionforobesityrelatedtraits AT thomaswinkler quantificationoftheoverallcontributionofgeneenvironmentinteractionforobesityrelatedtraits AT andrewrwood quantificationoftheoverallcontributionofgeneenvironmentinteractionforobesityrelatedtraits AT timothymfrayling quantificationoftheoverallcontributionofgeneenvironmentinteractionforobesityrelatedtraits AT irismheid quantificationoftheoverallcontributionofgeneenvironmentinteractionforobesityrelatedtraits AT matthewrrobinson quantificationoftheoverallcontributionofgeneenvironmentinteractionforobesityrelatedtraits AT zoltankutalik quantificationoftheoverallcontributionofgeneenvironmentinteractionforobesityrelatedtraits |
_version_ |
1718390138671726592 |