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Software Application Profile: mrrobust - a tool for performing two-sample summary Mendelian randomization analyses

Research output: Contribution to journalArticle

Original languageEnglish
Number of pages7
JournalInternational Journal of Epidemiology
Early online date12 Sep 2018
DOIs
DateAccepted/In press - 15 Aug 2018
DateE-pub ahead of print (current) - 12 Sep 2018

Abstract

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 visualising each estimate either individually or simultaneously. The package also provides statistics such as I_GX^2, 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/].

    Research areas

  • summary MR, MR-Egger, IVW, weighted median, Mendelian randomization, Stata

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via Oxford University Press at https://academic.oup.com/ije/advance-article/doi/10.1093/ije/dyy195/5096673 . Please refer to any applicable terms of use of the publisher.

    Final published version, 686 KB, PDF document

    Licence: CC BY

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