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Using the MR-Base platform to investigate risk factors and drug targets for thousands of phenotypes.
Walker, Venexia M; Davies, Neil M; Hemani, Gibran; Zheng, Jie; Haycock, Philip C; Gaunt, Tom R; Davey Smith, George; Martin, Richard M.
Afiliação
  • Walker VM; Medical Research Council Integrative, Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Davies NM; Bristol Medical School: Population Health Sciences, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Hemani G; Medical Research Council Integrative, Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Zheng J; Bristol Medical School: Population Health Sciences, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Haycock PC; Medical Research Council Integrative, Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Gaunt TR; Bristol Medical School: Population Health Sciences, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Davey Smith G; Medical Research Council Integrative, Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
  • Martin RM; Bristol Medical School: Population Health Sciences, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Wellcome Open Res ; 4: 113, 2019.
Article em En | MEDLINE | ID: mdl-31448343
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Etiology_studies / Risk_factors_studies Idioma: En Revista: Wellcome Open Res Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Etiology_studies / Risk_factors_studies Idioma: En Revista: Wellcome Open Res Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido