GMAC: Genomic Mediation Analysis with Adaptive Confounding Adjustment

Performs genomic mediation analysis with adaptive confounding adjustment (GMAC) proposed by Yang et al. (2017) <doi:10.1101/078683>. It implements large scale mediation analysis and adaptively selects potential confounding variables to adjust for each mediation test from a pool of candidate confounders. The package is tailored for but not limited to genomic mediation analysis (e.g., cis-gene mediating trans-gene regulation pattern where an eQTL, its cis-linking gene transcript, and its trans-gene transcript play the roles as treatment, mediator and the outcome, respectively), restricting to scenarios with the presence of cis-association (i.e., treatment-mediator association) and random eQTL (i.e., treatment).

Getting started

Package details

AuthorFan Yang, Jiebiao Wang and Lin Chen
MaintainerJiebiao Wang <randel.wang@gmail.com>
LicenseGPL
Version3.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GMAC")

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GMAC documentation built on March 18, 2022, 5:39 p.m.