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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Main Authors:	Yoonsu Cho, Philip C. Haycock, Eleanor Sanderson, Tom R. Gaunt, Jie Zheng, Andrew P. Morris, George Davey Smith, Gibran Hemani
Format:	Article
Language:	English
Published:	Nature Publishing Group 2020-02-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-020-14452-4

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spelling	doaj-dfbcb932f4774023a181f55ca924bfe82021-05-11T08:47:46ZengNature Publishing GroupNature Communications2041-17232020-02-0111111310.1038/s41467-020-14452-4Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization frameworkYoonsu Cho0Philip C. Haycock1Eleanor Sanderson2Tom R. Gaunt3Jie Zheng4Andrew P. Morris5George Davey Smith6Gibran Hemani7MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of BristolMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of BristolMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of BristolMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of BristolMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of BristolDepartment of Biostatistics, University of LiverpoolMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of BristolMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of BristolIn 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.https://doi.org/10.1038/s41467-020-14452-4
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Yoonsu Cho Philip C. Haycock Eleanor Sanderson Tom R. Gaunt Jie Zheng Andrew P. Morris George Davey Smith Gibran Hemani
spellingShingle	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 Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2020-02-01
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.
url	https://doi.org/10.1038/s41467-020-14452-4
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Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework

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