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

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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/].
Original languageEnglish
Number of pages7
JournalInternational Journal of Epidemiology
Early online date12 Sep 2018
DOIs
Publication statusE-pub ahead of print - 12 Sep 2018

Keywords

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

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