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Software application profile: mrrobust—a tool for performing two-sample summary Mendelian randomization analyses
MOTIVATION: In recent years, Mendelian randomization analysis using summary data from genome-wide association studies has become a popular approach for investigating causal relationships in epidemiology. The mrrobust Stata package implements several of the recently developed methods. IMPLEMENTATION:...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6659377/ http://dx.doi.org/10.1093/ije/dyy195 |
Sumario: | MOTIVATION: In recent years, Mendelian randomization analysis using summary data from genome-wide association studies has become a popular approach for investigating causal relationships in epidemiology. The mrrobust Stata package implements several of the recently developed methods. IMPLEMENTATION: mrrobust is freely available as a Stata package. GENERAL FEATURES: The package includes inverse variance weighted estimation, as well as a range of median, modal and MR-Egger estimation methods. Using mrrobust, plots can be constructed visualizing each estimate either individually or simultaneously. The package also provides statistics such as [Formula: see text] , which are useful in assessing attenuation bias in causal estimates. AVAILABILITY: The software is freely available from GitHub [https://raw.github.com/remlapmot/mrrobust/master/]. |
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