Extending the MR-Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy.

ABSTRACT: Methods have been developed for Mendelian randomization that can obtain consistent causal estimates while relaxing the instrumental variable assumptions. These include multivariable Mendelian randomization, in which a genetic variant may be associated with multiple risk factors so long as any association with the outcome is via the measured risk factors (measured pleiotropy), and the MR-Egger (Mendelian randomization-Egger) method, in which a genetic variant may be directly associated with the outcome not via the risk factor of interest, so long as the direct effects of the variants on the outcome are uncorrelated with their associations with the risk factor (unmeasured pleiotropy). In this paper, we extend the MR-Egger method to a multivariable setting to correct for both measured and unm

SUBMITTER: Rees JMB 

PROVIDER: S-EPMC5725762 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature