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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2019
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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 |
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author | Walker, Venexia M Davies, Neil M Hemani, Gibran Zheng, Jie Haycock, Philip C Gaunt, Tom R Davey Smith, George Martin, Richard M |
author_facet | Walker, Venexia M Davies, Neil M Hemani, Gibran Zheng, Jie Haycock, Philip C Gaunt, Tom R Davey Smith, George Martin, Richard M |
author_sort | Walker, Venexia M |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6694718 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-66947182019-08-23 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 Wellcome Open Res Software Tool Article 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. F1000 Research Limited 2019-11-07 /pmc/articles/PMC6694718/ /pubmed/31448343 http://dx.doi.org/10.12688/wellcomeopenres.15334.2 Text en Copyright: © 2019 Walker VM et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Walker, Venexia M Davies, Neil M Hemani, Gibran Zheng, Jie Haycock, Philip C Gaunt, Tom R Davey Smith, George Martin, Richard M Using the MR-Base platform to investigate risk factors and drug targets for thousands of phenotypes |
title | Using the MR-Base platform to investigate risk factors and drug targets for thousands of phenotypes |
title_full | Using the MR-Base platform to investigate risk factors and drug targets for thousands of phenotypes |
title_fullStr | Using the MR-Base platform to investigate risk factors and drug targets for thousands of phenotypes |
title_full_unstemmed | Using the MR-Base platform to investigate risk factors and drug targets for thousands of phenotypes |
title_short | Using the MR-Base platform to investigate risk factors and drug targets for thousands of phenotypes |
title_sort | using the mr-base platform to investigate risk factors and drug targets for thousands of phenotypes |
topic | Software Tool Article |
url | 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 |
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