Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids

Mendelian randomization is a useful tool to infer causal relationships between traits, but can be confounded by the presence of pleiotropy. Here, the authors have developed MR-link, a Mendelian randomization method which accounts for unobserved pleiotropy and linkage disequilibrium between instrumen...

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Autores principales:	Adriaan van der Graaf, Annique Claringbould, Antoine Rimbert, BIOS Consortium, Harm-Jan Westra, Yang Li, Cisca Wijmenga, Serena Sanna
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6170c0c58be645728eb55d599c1f7f94
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spelling	oai:doaj.org-article:6170c0c58be645728eb55d599c1f7f942021-12-02T19:16:47ZMendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids10.1038/s41467-020-18716-x2041-1723https://doaj.org/article/6170c0c58be645728eb55d599c1f7f942020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18716-xhttps://doaj.org/toc/2041-1723Mendelian randomization is a useful tool to infer causal relationships between traits, but can be confounded by the presence of pleiotropy. Here, the authors have developed MR-link, a Mendelian randomization method which accounts for unobserved pleiotropy and linkage disequilibrium between instrumental variables.Adriaan van der GraafAnnique ClaringbouldAntoine RimbertBIOS ConsortiumHarm-Jan WestraYang LiCisca WijmengaSerena SannaNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Adriaan van der Graaf Annique Claringbould Antoine Rimbert BIOS Consortium Harm-Jan Westra Yang Li Cisca Wijmenga Serena Sanna Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids
description	Mendelian randomization is a useful tool to infer causal relationships between traits, but can be confounded by the presence of pleiotropy. Here, the authors have developed MR-link, a Mendelian randomization method which accounts for unobserved pleiotropy and linkage disequilibrium between instrumental variables.
format	article
author	Adriaan van der Graaf Annique Claringbould Antoine Rimbert BIOS Consortium Harm-Jan Westra Yang Li Cisca Wijmenga Serena Sanna
author_facet	Adriaan van der Graaf Annique Claringbould Antoine Rimbert BIOS Consortium Harm-Jan Westra Yang Li Cisca Wijmenga Serena Sanna
author_sort	Adriaan van der Graaf
title	Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids
title_short	Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids
title_full	Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids
title_fullStr	Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids
title_full_unstemmed	Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids
title_sort	mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/6170c0c58be645728eb55d599c1f7f94
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Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids

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