Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework

In Mendelian randomization (MR) studies, one typically selects SNPs as instrumental variables that do not directly affect the outcome to avoid violation of MR assumptions. Here, Cho et al. present a framework, MR-TRYX, that leverages knowledge of such outliers of horizontal pleiotropy to identify pu...

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Autores principales:	Yoonsu Cho, Philip C. Haycock, Eleanor Sanderson, Tom R. Gaunt, Jie Zheng, Andrew P. Morris, George Davey Smith, Gibran Hemani
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/dfbcb932f4774023a181f55ca924bfe8
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spelling	oai:doaj.org-article:dfbcb932f4774023a181f55ca924bfe82021-12-02T16:56:32ZExploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework10.1038/s41467-020-14452-42041-1723https://doaj.org/article/dfbcb932f4774023a181f55ca924bfe82020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14452-4https://doaj.org/toc/2041-1723In Mendelian randomization (MR) studies, one typically selects SNPs as instrumental variables that do not directly affect the outcome to avoid violation of MR assumptions. Here, Cho et al. present a framework, MR-TRYX, that leverages knowledge of such outliers of horizontal pleiotropy to identify putative causal relationships between exposure and outcome.Yoonsu ChoPhilip C. HaycockEleanor SandersonTom R. GauntJie ZhengAndrew P. MorrisGeorge Davey SmithGibran HemaniNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yoonsu Cho Philip C. Haycock Eleanor Sanderson Tom R. Gaunt Jie Zheng Andrew P. Morris George Davey Smith Gibran Hemani Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework
description	In Mendelian randomization (MR) studies, one typically selects SNPs as instrumental variables that do not directly affect the outcome to avoid violation of MR assumptions. Here, Cho et al. present a framework, MR-TRYX, that leverages knowledge of such outliers of horizontal pleiotropy to identify putative causal relationships between exposure and outcome.
format	article
author	Yoonsu Cho Philip C. Haycock Eleanor Sanderson Tom R. Gaunt Jie Zheng Andrew P. Morris George Davey Smith Gibran Hemani
author_facet	Yoonsu Cho Philip C. Haycock Eleanor Sanderson Tom R. Gaunt Jie Zheng Andrew P. Morris George Davey Smith Gibran Hemani
author_sort	Yoonsu Cho
title	Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework
title_short	Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework
title_full	Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework
title_fullStr	Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework
title_full_unstemmed	Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework
title_sort	exploiting horizontal pleiotropy to search for causal pathways within a mendelian randomization framework
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/dfbcb932f4774023a181f55ca924bfe8
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Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework

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