Package: autoMR 1.2.0

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>.

Authors:Kelin Zhong [aut, cre], Chia-Ling Kuo [aut]