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Software application profile: mrrobust—a tool for performing two-sample summary Mendelian randomization analyses
Open accessPublished version of a preprint
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 visualizing each estimate either individually or simultaneously. The package also provides statistics such as IGX2, 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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“Two methods, MR GxE and MR GENIUS, have extended and formalised these concepts and enable the estimation of causal effects in more general settings.”
From Mendelian randomization (2022) · cites this paper as [76]
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Challenges and future directions for Mendelian randomization
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Additional file 1 of Adiposity and grip strength: a Mendelian randomisation study in UK Biobank
Pereira, S. M. P., Garfield, V., Farmaki, A., Tomlinson, D. J., Norris, T., Fatemifar, G., Denaxas, S., Finan, C., & Cooper, R. (2022) · Figshare · doi:10.6084/m9.figshare.19960038
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Additional file 2 of Adiposity and grip strength: a Mendelian randomisation study in UK Biobank
Pereira, S. M. P., Garfield, V., Farmaki, A., Tomlinson, D. J., Norris, T., Fatemifar, G., Denaxas, S., Finan, C., & Cooper, R. (2022) · Figshare · doi:10.6084/m9.figshare.19960041
Edwards, C. H., Vie, G. Å., & Kinge, J. M. (2022) · Figshare · doi:10.6084/m9.figshare.19425066
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Lei, J., Liu, Z., Zhao, R., Jiang, Y., Xu, K., Zhang, T., Suo, C., & Chen, X. (2026) · Phenomics · doi:10.1007/s43657-024-00172-y
Metadata
- Authors
- Spiller, W., Davies, N. M., & Palmer, T. M.
- Affiliations
- University of Bristol (GB)
- Lancaster University (GB)
- Corresponding author
- Spiller, Wes
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-09-12
- Volume
- 48
- Issue
- 3
- Pages
- 684-690
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- PMC
- PMC6659377
- OpenAlex
- W2952494466
- Cited by
- 116
- References
- 29
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 10 · 2023: 10 · 2022: 17 · 2021: 29 · 2020: 18 · 2019: 16 · 2018: 6
- FWCI
- 10.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Epidemiology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion, cc-by)
- Explore Bristol Research (submittedVersion, cc-by)
- Funders
- Medical Research Council
- MRC
- University of Bristol
- MRC Integrative Epidemiology Unit (MC UU 12013/1, MC UU 12013/9, MC UU 00011/1)
- Wellcome Trust (108902/B/15/Z)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- Mendelian randomization, summary data, Stata package, median estimation, modal estimation, MR-Egger, attenuation bias, causal inference, genome-wide association study
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