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>.
