A modified debiased inverse-variance weighted estimator in two-sample
summary-data Mendelian randomization
A modified debiased inverse-variance weighted estimator in two-sample
summary-data Mendelian randomization
Mendelian randomization uses genetic variants as instrumental variables to make causal inferences about the effects of modifiable risk factors on diseases from observational data. One of the major challenges in Mendelian randomization is that many genetic variants are only modestly or even weakly associated with the risk factor of interest, …