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ofGEM: A Meta-Analysis Approach with Filtering for IdentifyingGene-Level Gene-Environment Interactions with GeneticAssociation 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.html ,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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ofGEMto link to this page.


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