5 citations · 5 across the 4 of their papers we have counts for
6 papers
Bias in multivariable Mendelian randomization studies due to measurement error on exposures
Jiazheng Zhu, Stephen Burgess, Andrew J. Grant
Multivariable Mendelian randomization estimates the causal effect of multiple exposures on an outcome, typically using summary statistics of genetic variant associations. However,…
Disentangling the effects of traits with shared clustered genetic predictors using multivariable Mendelian randomization
Fatima Batool, Ashish Patel, Dipender Gill +1
When genetic variants in a gene cluster are associated with a disease outcome, the causal pathway from the variants to the outcome can be difficult to disentangle. For example, the…
Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates
Stephen Burgess, Jeremy A Labrecque
Mendelian randomization uses genetic variants to make causal inferences about a modifiable exposure. Subject to a genetic variant satisfying the instrumental variable assumptions,…
Contextualizing selection bias in Mendelian randomization: how bad is it likely to be?
Apostolos Gkatzionis, Stephen Burgess
Selection bias affects Mendelian randomization investigations when selection into the study sample depends on a collider between the genetic variant and confounders of the risk fac…
Extending the MR-Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy
Jessica M. B. Rees, Angela Wood, Stephen Burgess
Methods have been developed for Mendelian randomization that can obtain consistent causal estimates while relaxing the instrumental variable assumptions. These include multivariabl…
Mendelian randomization with fine-mapped genetic data: choosing from large numbers of correlated instrumental variables
Stephen Burgess, Verena Zuber, Elsa Valdes-Marquez +2
Mendelian randomization uses genetic variants to make causal inferences about the effect of a risk factor on an outcome. With fine-mapped genetic data, there may be hundreds of gen…