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

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
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Science
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Acceso en línea:https://doaj.org/article/490a54832d7e416a8c0c6026b330a06f
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