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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 |
| 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 |
| Reference manual: | ofGEM.pdf |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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