Fast Region-Based Association Tests on Summary Statistics
Overview
An adaptation of classical region/gene-based association analysis techniques to the use of summary statistics (P values and effect sizes) and correlations between genetic variants as input. It is a tool to perform the most popular and efficient gene-based tests using the results of genome-wide association (meta-)analyses without having the original genotypes and phenotypes at hand. See for details: Svishcheva et al (2019) Gene-based association tests using GWAS summary statistics. Bioinformatics. Belonogova et al (2022) SumSTAAR: A flexible framework for gene-based association studies using GWAS summary statistics. PLOS Comp Biol.
Install
Health
CRAN check results are not tracked yet.
Documentation
- Help pages
- 5includes a package overview page
- Examples that run
- 75%3 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 60%
Downloads
Dependencies
Code & Tests
People & History
Show 4 more peopleHide 4 people
Maintainer since 1.0.0 (2018)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2026-01-29requires archived package 'seqminer'
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.2.52022-06-07 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.2.42022-03-24 · diff ↗
- 1.2.32022-03-09 · diff ↗
- 1.2.2
- RR 4.1.0 released · 2021-05-18
- 1.2.1
- 1.2.0
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.1.0
Show 3 earlier eventsHide 3 earlier events
- RR 3.5.0 released · 2018-04-23
- 1.0.02018-01-17
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-01-17
- Total releases
- 8 / 8 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.0.0
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("sumFREGAT")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.