A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome

Gene expression and how genetic variants can influence gene expression are tissue-specific processes with important implications for phenotypes. Here, Richardson et al. use eQTL data from GTEx and the eQTLGen project in a two-sample SMR + HEIDI framework for causal inference of gene expression assoc...

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Autores principales:	Tom G. Richardson, Gibran Hemani, Tom R. Gaunt, Caroline L. Relton, George Davey Smith
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/29f4249da2314cbd93d49efdc1ca8c68
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spelling	oai:doaj.org-article:29f4249da2314cbd93d49efdc1ca8c682021-12-02T14:41:14ZA transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome10.1038/s41467-019-13921-92041-1723https://doaj.org/article/29f4249da2314cbd93d49efdc1ca8c682020-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13921-9https://doaj.org/toc/2041-1723Gene expression and how genetic variants can influence gene expression are tissue-specific processes with important implications for phenotypes. Here, Richardson et al. use eQTL data from GTEx and the eQTLGen project in a two-sample SMR + HEIDI framework for causal inference of gene expression associations with complex trait.Tom G. RichardsonGibran HemaniTom R. GauntCaroline L. ReltonGeorge Davey SmithNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Tom G. Richardson Gibran Hemani Tom R. Gaunt Caroline L. Relton George Davey Smith A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome
description	Gene expression and how genetic variants can influence gene expression are tissue-specific processes with important implications for phenotypes. Here, Richardson et al. use eQTL data from GTEx and the eQTLGen project in a two-sample SMR + HEIDI framework for causal inference of gene expression associations with complex trait.
format	article
author	Tom G. Richardson Gibran Hemani Tom R. Gaunt Caroline L. Relton George Davey Smith
author_facet	Tom G. Richardson Gibran Hemani Tom R. Gaunt Caroline L. Relton George Davey Smith
author_sort	Tom G. Richardson
title	A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome
title_short	A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome
title_full	A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome
title_fullStr	A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome
title_full_unstemmed	A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome
title_sort	transcriptome-wide mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/29f4249da2314cbd93d49efdc1ca8c68
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A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome

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