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

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2.3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Jiebiao Wang <randel.wang@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Jiebiao",
                      family = "Wang",
                      role = c("aut", "cre"),
                      email = "randel.wang@gmail.com"),
               person(given = "Qianying",
                      family = "Liu",
                      role = "aut"),
               person(given = c("Lin", "S."),
                      family = "Chen",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 55 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
33%

Downloads

2.3K
CRAN downloads in the past year
Rank #19,103 · ~6/day · ~195/mo
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25130 days
68790 days
2.3K1 year
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Repository

3Stars
0Forks
0Open issues
0Open PRs
0Releases
6Commits
1Commit identities
6 commits · Last activity 2018-07-07
Responsiveness
not measured

Stars over time

2022-10-27 · 32026-07-07 · 3
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/randel/ofgem on 2026-10-22.

Git structural (1)
.gitattributes
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing ofGEM adds 5 packages (3 with compiled code, 2.2 MB of source tarballs). Heaviest: forestplot 1.9 MB, checkmate 247 KB, backports 29 KB.

Depends (3)
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (3)

Maintainer since 1.0 (2018)

Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0Latest
    2018-07-13 · current release
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-07-13
Total releases
1 / 8 yrs
License
GPL
Bundled data
5.1 KB / 1 file
Download size
11 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ofGEM")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ofGEM version 1.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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