The use of two-sample methods for Mendelian randomization analyses on single large datasets.

ABSTRACT:

Background

With genome-wide association data for many exposures and outcomes now available from large biobanks, one-sample Mendelian randomization (MR) is increasingly used to investigate causal relationships. Many robust MR methods are available to address pleiotropy, but these assume independence between the gene-exposure and gene-outcome association estimates. Unlike in two-sample MR, in one-sample MR the two estimates are obtained from the same individuals, and the assumption of independence does not hold in the presence of confounding.

Methods

With simulations mimicking a typical study in UK Biobank, we assessed the performance, in terms of bias and precision of the MR estimate, of the fixed-effect and (multiplicative) random-effects meta-analysis method, weighted media

SUBMITTER: Minelli C 

PROVIDER: S-EPMC8580269 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature