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bioRxiv · 10.1101/142125

Software Application Profile: mrrobust - A Tool For Performing Two-Sample Summary Mendelian Randomization Analyses

Spiller, W.·Davies, N. M.·Palmer, T. M.
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Abstract

MotivationIn 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.\n\nImplementationmrrobust is freely available as a Stata package.\n\nGeneral FeaturesThe package includes inverse variance weighted estimation, as well as a range of median and MR-Egger estimation methods. Using mrrobust, plots can be constructed visualising each estimate either individually or simultaneously. The package also provides statistics such as [Formula] which are useful in assessing attenuation bias in causal estimates.\n\nAvailabilityThe software is freely available from GitHub [https://raw.github.com/remlapmot/mrrobust/master/].

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Spiller, W., Davies, N. M., Palmer, T. M.. 2017-05-25. Software Application Profile: mrrobust - A Tool For Performing Two-Sample Summary Mendelian Randomization Analyses. https://doi.org/10.1101/142125

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