Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits

Many genetic variants identified in genome-wide association studies are associated with gene expression. Here, Porcu et al. propose a transcriptome-wide summary statistics-based Mendelian randomization approach (TWMR) that, applied to 43 human traits, uncovers hundreds of previously unreported gene–...

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Autores principales:	Eleonora Porcu, Sina Rüeger, Kaido Lepik, eQTLGen Consortium, BIOS Consortium, Federico A. Santoni, Alexandre Reymond, Zoltán Kutalik
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/c983ae75f0ae4e55be76e76f70f6b91a
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spelling	oai:doaj.org-article:c983ae75f0ae4e55be76e76f70f6b91a2021-12-02T15:35:59ZMendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits10.1038/s41467-019-10936-02041-1723https://doaj.org/article/c983ae75f0ae4e55be76e76f70f6b91a2019-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10936-0https://doaj.org/toc/2041-1723Many genetic variants identified in genome-wide association studies are associated with gene expression. Here, Porcu et al. propose a transcriptome-wide summary statistics-based Mendelian randomization approach (TWMR) that, applied to 43 human traits, uncovers hundreds of previously unreported gene–trait associations.Eleonora PorcuSina RüegerKaido LepikeQTLGen ConsortiumBIOS ConsortiumFederico A. SantoniAlexandre ReymondZoltán KutalikNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Eleonora Porcu Sina Rüeger Kaido Lepik eQTLGen Consortium BIOS Consortium Federico A. Santoni Alexandre Reymond Zoltán Kutalik Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits
description	Many genetic variants identified in genome-wide association studies are associated with gene expression. Here, Porcu et al. propose a transcriptome-wide summary statistics-based Mendelian randomization approach (TWMR) that, applied to 43 human traits, uncovers hundreds of previously unreported gene–trait associations.
format	article
author	Eleonora Porcu Sina Rüeger Kaido Lepik eQTLGen Consortium BIOS Consortium Federico A. Santoni Alexandre Reymond Zoltán Kutalik
author_facet	Eleonora Porcu Sina Rüeger Kaido Lepik eQTLGen Consortium BIOS Consortium Federico A. Santoni Alexandre Reymond Zoltán Kutalik
author_sort	Eleonora Porcu
title	Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits
title_short	Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits
title_full	Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits
title_fullStr	Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits
title_full_unstemmed	Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits
title_sort	mendelian randomization integrating gwas and eqtl data reveals genetic determinants of complex and clinical traits
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/c983ae75f0ae4e55be76e76f70f6b91a
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Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits

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