A robust and efficient method for Mendelian randomization with hundreds of genetic variants

Mendelian randomization (MR) is a method for inferring causal relationships between risk factors and outcomes via associated genetic variants. Here, Burgess et al. develop the contamination mixture method which yields robust MR results in the presence of invalid instrumental variables and groups var...

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Autores principales: Stephen Burgess, Christopher N Foley, Elias Allara, James R Staley, Joanna M. M. Howson
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/74ff71ea549c46d682697de209ffda29
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spelling oai:doaj.org-article:74ff71ea549c46d682697de209ffda292021-12-02T15:39:15ZA robust and efficient method for Mendelian randomization with hundreds of genetic variants10.1038/s41467-019-14156-42041-1723https://doaj.org/article/74ff71ea549c46d682697de209ffda292020-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-14156-4https://doaj.org/toc/2041-1723Mendelian randomization (MR) is a method for inferring causal relationships between risk factors and outcomes via associated genetic variants. Here, Burgess et al. develop the contamination mixture method which yields robust MR results in the presence of invalid instrumental variables and groups variants by their effect estimates.Stephen BurgessChristopher N FoleyElias AllaraJames R StaleyJoanna M. M. HowsonNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Stephen Burgess
Christopher N Foley
Elias Allara
James R Staley
Joanna M. M. Howson
A robust and efficient method for Mendelian randomization with hundreds of genetic variants
description Mendelian randomization (MR) is a method for inferring causal relationships between risk factors and outcomes via associated genetic variants. Here, Burgess et al. develop the contamination mixture method which yields robust MR results in the presence of invalid instrumental variables and groups variants by their effect estimates.
format article
author Stephen Burgess
Christopher N Foley
Elias Allara
James R Staley
Joanna M. M. Howson
author_facet Stephen Burgess
Christopher N Foley
Elias Allara
James R Staley
Joanna M. M. Howson
author_sort Stephen Burgess
title A robust and efficient method for Mendelian randomization with hundreds of genetic variants
title_short A robust and efficient method for Mendelian randomization with hundreds of genetic variants
title_full A robust and efficient method for Mendelian randomization with hundreds of genetic variants
title_fullStr A robust and efficient method for Mendelian randomization with hundreds of genetic variants
title_full_unstemmed A robust and efficient method for Mendelian randomization with hundreds of genetic variants
title_sort robust and efficient method for mendelian randomization with hundreds of genetic variants
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/74ff71ea549c46d682697de209ffda29
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