Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks

Mendelian randomization is a popular method to detect causal relationships between traits, but can be confounded by instances of horizontal pleiotropy. Here, the authors present a Mendelian randomization workflow which includes causal discovery analysis and filtering of genetic instruments based on...

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Autores principales:	David Amar, Nasa Sinnott-Armstrong, Euan A. Ashley, Manuel A. Rivas
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/2de5d6dbd2ae49f294dc1e672035ea20
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spelling	oai:doaj.org-article:2de5d6dbd2ae49f294dc1e672035ea202021-12-02T14:12:04ZGraphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks10.1038/s41467-020-20516-22041-1723https://doaj.org/article/2de5d6dbd2ae49f294dc1e672035ea202021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20516-2https://doaj.org/toc/2041-1723Mendelian randomization is a popular method to detect causal relationships between traits, but can be confounded by instances of horizontal pleiotropy. Here, the authors present a Mendelian randomization workflow which includes causal discovery analysis and filtering of genetic instruments based on their conditional independencies.David AmarNasa Sinnott-ArmstrongEuan A. AshleyManuel A. RivasNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q David Amar Nasa Sinnott-Armstrong Euan A. Ashley Manuel A. Rivas Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks
description	Mendelian randomization is a popular method to detect causal relationships between traits, but can be confounded by instances of horizontal pleiotropy. Here, the authors present a Mendelian randomization workflow which includes causal discovery analysis and filtering of genetic instruments based on their conditional independencies.
format	article
author	David Amar Nasa Sinnott-Armstrong Euan A. Ashley Manuel A. Rivas
author_facet	David Amar Nasa Sinnott-Armstrong Euan A. Ashley Manuel A. Rivas
author_sort	David Amar
title	Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks
title_short	Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks
title_full	Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks
title_fullStr	Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks
title_full_unstemmed	Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks
title_sort	graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2de5d6dbd2ae49f294dc1e672035ea20
work_keys_str_mv	AT davidamar graphicalanalysisforphenomewidecausaldiscoveryingenotypedpopulationscalebiobanks AT nasasinnottarmstrong graphicalanalysisforphenomewidecausaldiscoveryingenotypedpopulationscalebiobanks AT euanaashley graphicalanalysisforphenomewidecausaldiscoveryingenotypedpopulationscalebiobanks AT manuelarivas graphicalanalysisforphenomewidecausaldiscoveryingenotypedpopulationscalebiobanks
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Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks

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