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Article

A Bayesian approach to Mendelian randomization with multiple pleiotropic variants.

Biostatistics (Oxford, England) - 1 Jan 2020

Berzuini Carlo, Guo Hui, Burgess Stephen, Bernardinelli Luisa

Abstract excerpt

We propose a Bayesian approach to Mendelian randomization (MR), where instruments are allowed to exert pleiotropic (i.e. not mediated by the exposure) effects on the outcome. By having these effects represented in the model by unknown parameters, and by imposing a shrinkage prior distribution that assumes an unspecified subset of the effects to be zero, we obtain a proper posterior distribution for the causal...

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Identifiers

PMID: 30084873
DOI: 10.1093/biostatistics/kxy027
PMCID: PMC6920542

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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