ofGEM: A Meta-Analysis Approach with Filtering for Identifying Gene-Level Gene-Environment Interactions with Genetic Association Data

Offers a gene-based meta-analysis test with filtering to detect gene-environment interactions (GxE) with association data, proposed by Wang et al. (2018) <doi:10.1002/gepi.22115>. It first conducts a meta-filtering test to filter out unpromising SNPs by combining all samples in the consortia data. It then runs a test of omnibus-filtering-based GxE meta-analysis (ofGEM) that combines the strengths of the fixed- and random-effects meta-analysis with meta-filtering. It can also analyze data from multiple ethnic groups.

Version:	1.0
Depends:	CompQuadForm, MASS, forestplot
Published:	2018-07-13
DOI:	10.32614/CRAN.package.ofGEM
Author:	Jiebiao Wang, Qianying Liu and Lin S. Chen
Maintainer:	Jiebiao Wang <randel.wang at gmail.com>
BugReports:	https://github.com/randel/ofGEM/issues
License:	GPL-2 | GPL-3 [expanded from: GPL]
URL:	https://github.com/randel/ofGEM
NeedsCompilation:	no
In views:	MetaAnalysis
CRAN checks:	ofGEM results

Documentation:

Reference manual:

ofGEM.pdf

Downloads:

Package source:	ofGEM_1.0.tar.gz
Windows binaries:	r-devel: ofGEM_1.0.zip, r-release: ofGEM_1.0.zip, r-oldrel: ofGEM_1.0.zip
macOS binaries:	r-release (arm64): ofGEM_1.0.tgz, r-oldrel (arm64): ofGEM_1.0.tgz, r-release (x86_64): ofGEM_1.0.tgz, r-oldrel (x86_64): ofGEM_1.0.tgz

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