GEVACO: Joint Test of Gene and GxE Interactions via Varying Coefficients

A novel statistical model to detect the joint genetic and dynamic gene-environment (GxE) interaction with continuous traits in genetic association studies. It uses varying-coefficient models to account for different GxE trajectories, regardless whether the relationship is linear or not. The package includes one function, GxEtest(), to test a single genetic variant (e.g., a single nucleotide polymorphism or SNP), and another function, GxEscreen(), to test for a set of genetic variants. The method involves a likelihood ratio test described in Crainiceanu, C. M., and Ruppert, D. (2004) <doi:10.1111/j.1467-9868.2004.00438.x>.

Version: 1.0.0
Depends: R (≥ 3.6)
Imports: nlme, RLRsim, stats
Suggests: rmarkdown, knitr
Published: 2020-12-03
Author: Zhengyang Zhou [aut] Sydney Manning [aut, cre] Chao Xing [aut] Hung-Chih Ku [aut]
Maintainer: Sydney Manning <sydneymanning at my.unthsc.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: GEVACO results

Downloads:

Reference manual: GEVACO.pdf
Vignettes: GEVACO Introduction
Package source: GEVACO_1.0.0.tar.gz
Windows binaries: r-devel: GEVACO_1.0.0.zip, r-release: GEVACO_1.0.0.zip, r-oldrel: GEVACO_1.0.0.zip
macOS binaries: r-release (arm64): GEVACO_1.0.0.tgz, r-release (x86_64): GEVACO_1.0.0.tgz, r-oldrel: GEVACO_1.0.0.tgz

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