Cargando…

Using the MR-Base platform to investigate risk factors and drug targets for thousands of phenotypes

Mendelian randomization (MR) estimates the causal effect of exposures on outcomes by exploiting genetic variation to address confounding and reverse causation. This method has a broad range of applications, including investigating risk factors and appraising potential targets for intervention. MR-Ba...

Descripción completa

Detalles Bibliográficos
Autores principales: Walker, Venexia M, Davies, Neil M, Hemani, Gibran, Zheng, Jie, Haycock, Philip C, Gaunt, Tom R, Davey Smith, George, Martin, Richard M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694718/
https://www.ncbi.nlm.nih.gov/pubmed/31448343
http://dx.doi.org/10.12688/wellcomeopenres.15334.2
Descripción
Sumario:Mendelian randomization (MR) estimates the causal effect of exposures on outcomes by exploiting genetic variation to address confounding and reverse causation. This method has a broad range of applications, including investigating risk factors and appraising potential targets for intervention. MR-Base has become established as a freely accessible, online platform, which combines a database of complete genome-wide association study results with an interface for performing Mendelian randomization and sensitivity analyses. This allows the user to explore millions of potentially causal associations. MR-Base is available as a web application or as an R package. The technical aspects of the tool have previously been documented in the literature. The present article is complementary to this as it focuses on the applied aspects. Specifically, we describe how MR-Base can be used in several ways, including to perform novel causal analyses, replicate results and enable transparency, amongst others. We also present three use cases, which demonstrate important applications of Mendelian randomization and highlight the benefits of using MR-Base for these types of analyses.