Mendelian randomization with Egger pleiotropy correction and weakly informative Bayesian priors | Zendy

Amand F. Schmidt | Zendy; Frank Dudbridge | Zendy

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Mendelian randomization with Egger pleiotropy correction and weakly informative Bayesian priors

Author(s) -

Amand F. Schmidt,

Frank Dudbridge

Publication year - 2017

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyx254

Subject(s) - mendelian randomization , estimator , pleiotropy , prior probability , statistics , mathematics , econometrics , bayesian probability , biology , genetics , genetic variants , gene , genotype , phenotype

The MR-Egger (MRE) estimator has been proposed to correct for directional pleiotropic effects of genetic instruments in an instrumental variable (IV) analysis. The power of this method is considerably lower than that of conventional estimators, limiting its applicability. Here we propose a novel Bayesian implementation of the MR-Egger estimator (BMRE) and explore the utility of applying weakly informative priors on the intercept term (the pleiotropy estimate) to increase power of the IV (slope) estimate.

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