Causal associations between risk factors and common diseases inferred from GWAS summary data

Genetic methods are useful to test whether risk factors are causal for or consequence of disease. Here, Zhu et al. develop a generalized summary-based Mendelian Randomization (GSMR) method which uses summary-level data from GWAS to test for causal associations of health risk factors with common dise...

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Autores principales:	Zhihong Zhu, Zhili Zheng, Futao Zhang, Yang Wu, Maciej Trzaskowski, Robert Maier, Matthew R. Robinson, John J. McGrath, Peter M. Visscher, Naomi R. Wray, Jian Yang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/490a54832d7e416a8c0c6026b330a06f
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spelling	oai:doaj.org-article:490a54832d7e416a8c0c6026b330a06f2021-12-02T14:39:05ZCausal associations between risk factors and common diseases inferred from GWAS summary data10.1038/s41467-017-02317-22041-1723https://doaj.org/article/490a54832d7e416a8c0c6026b330a06f2018-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-02317-2https://doaj.org/toc/2041-1723Genetic methods are useful to test whether risk factors are causal for or consequence of disease. Here, Zhu et al. develop a generalized summary-based Mendelian Randomization (GSMR) method which uses summary-level data from GWAS to test for causal associations of health risk factors with common diseases.Zhihong ZhuZhili ZhengFutao ZhangYang WuMaciej TrzaskowskiRobert MaierMatthew R. RobinsonJohn J. McGrathPeter M. VisscherNaomi R. WrayJian YangNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Zhihong Zhu Zhili Zheng Futao Zhang Yang Wu Maciej Trzaskowski Robert Maier Matthew R. Robinson John J. McGrath Peter M. Visscher Naomi R. Wray Jian Yang Causal associations between risk factors and common diseases inferred from GWAS summary data
description	Genetic methods are useful to test whether risk factors are causal for or consequence of disease. Here, Zhu et al. develop a generalized summary-based Mendelian Randomization (GSMR) method which uses summary-level data from GWAS to test for causal associations of health risk factors with common diseases.
format	article
author	Zhihong Zhu Zhili Zheng Futao Zhang Yang Wu Maciej Trzaskowski Robert Maier Matthew R. Robinson John J. McGrath Peter M. Visscher Naomi R. Wray Jian Yang
author_facet	Zhihong Zhu Zhili Zheng Futao Zhang Yang Wu Maciej Trzaskowski Robert Maier Matthew R. Robinson John J. McGrath Peter M. Visscher Naomi R. Wray Jian Yang
author_sort	Zhihong Zhu
title	Causal associations between risk factors and common diseases inferred from GWAS summary data
title_short	Causal associations between risk factors and common diseases inferred from GWAS summary data
title_full	Causal associations between risk factors and common diseases inferred from GWAS summary data
title_fullStr	Causal associations between risk factors and common diseases inferred from GWAS summary data
title_full_unstemmed	Causal associations between risk factors and common diseases inferred from GWAS summary data
title_sort	causal associations between risk factors and common diseases inferred from gwas summary data
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/490a54832d7e416a8c0c6026b330a06f
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Causal associations between risk factors and common diseases inferred from GWAS summary data

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