2020
DOI: 10.48550/arxiv.2007.10183
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Overlapping-sample Mendelian randomisation with multiple exposures: A Bayesian approach

Abstract: Background: Mendelian randomization (MR) has been widely applied to causal inference in medical research. It uses genetic variants as instrumental variables (IVs) to investigate putative causal relationship between an exposure and an outcome. Traditional MR methods have dominantly focussed on a two-sample setting in which IV-exposure association study and IV-outcome association study are independent. However, it is not uncommon that participants from the two studies fully overlap (one-sample) or partly overlap… Show more

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