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A Bayesian approach to Mendelian randomization with multiple pleiotropic variants
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 a...
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| Publicado no: | Biostatistics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6920542/ https://ncbi.nlm.nih.gov/pubmed/30084873 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxy027 |
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