epiGWAS: Robust Methods for Epistasis Detection

Functions to perform robust epistasis detection in genome-wide association studies, as described in Slim et al. (2018) <doi:10.1101/442749>. The implemented methods identify pairwise interactions between a particular target variant and the rest of the genotype, using a propensity score approach. The propensity score models the linkage disequilibrium between the target and the rest of the genotype. All methods are penalized regression approaches, which differently incorporate the propensity score to only recover the synergistic effects between the target and the genotype.

Package details

AuthorLotfi Slim [aut, cre], Clément Chatelain [ctb], Chloé-Agathe Azencott [ctb], Jean-Philippe Vert [ctb]
MaintainerLotfi Slim <[email protected]>
LicenseGPL (>= 2)
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("epiGWAS")

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epiGWAS documentation built on Dec. 16, 2018, 5:03 p.m.