autoMR: Automated Mendelian Randomization Workflows and Visualizations
Provides tools to summarize, analyze, and visualize results
from Mendelian randomization studies using summarized genetic
association data. The package includes functions for generating forest
plots and scatter plots at the single-nucleotide polymorphism
and Mendelian randomization method levels, and for fitting multiple
estimators in a unified workflow, including inverse-variance weighted
estimation, Mendelian randomization Egger regression,
the weighted median estimator, the robust adjusted
profile score, Mendelian randomization pleiotropy residual sum
and outlier, Mendelian randomization with the genotype
recoding invariance property, and a Bayesian horseshoe
method. Related methods are described by Burgess (2013)
<doi:10.1002/gepi.21758>, Bowden (2015) <doi:10.1093/ije/dyv080>,
Bowden (2016) <doi:10.1002/gepi.21965>, Zhao (2020)
<doi:10.1214/19-AOS1866>, Verbanck (2018)
<doi:10.1038/s41588-018-0099-7>, Dudbridge (2025)
<doi:10.1371/journal.pgen.1011967>, and Grant and Burgess (2024)
<doi:10.1016/j.ajhg.2023.12.002>. Related open-source software
includes 'TwoSampleMR' <https://github.com/MRCIEU/TwoSampleMR>,
'mr.raps' <https://github.com/qingyuanzhao/mr.raps>,
'MR-PRESSO' <https://github.com/rondolab/MR-PRESSO>, and
'MR-Horse' <https://github.com/aj-grant/mrhorse>.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.2) |
| Imports: |
ggplot2 (≥ 4.0.1), dplyr (≥ 1.1.4), tidyr (≥ 1.3.1), MendelianRandomization (≥ 0.10.0), R2jags (≥ 0.8-9), coda (≥
0.19-4.1), nortest (≥ 1.0-4), grDevices, graphics, stats, utils, methods |
| Published: |
2026-03-29 |
| DOI: |
10.32614/CRAN.package.autoMR (may not be active yet) |
| Author: |
Kelin Zhong [aut, cre],
Chia-Ling Kuo [aut] |
| Maintainer: |
Kelin Zhong <kelin.zhong at uconn.edu> |
| BugReports: |
https://github.com/KelinZhong/autoMR/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/KelinZhong/autoMR |
| NeedsCompilation: |
no |
| CRAN checks: |
autoMR results |
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