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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Publishing Group 2018-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-017-02317-2

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https://doi.org/10.1038/s41467-017-02317-2

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