Simulated sample splitting approach to address biases due to instrument selection and participant overlap in two-sample Mendelian Randomization studies.

Abstract excerpt

Mendelian randomization (MR) is a popular statistical technique that uses genetic variants to explore causal relationships in observational epidemiology. Summary-level MR, the most common form, relies on published GWAS summary statistics to estimate causal effects between exposures and outcomes. However, empirical analyses tend to ignore issues relating to Winner's Curse of instrument effects, weak instrument...

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