Package: sumFREGAT 1.2.5

Nadezhda M. Belonogova

sumFREGAT: Fast Region-Based Association Tests on Summary Statistics

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.

Authors:Nadezhda M. Belonogova <[email protected]> and Gulnara R. Svishcheva <[email protected]> with contributions from: Seunggeun Lee, Pierre Lafaye de Micheaux, Thomas Lumley, Minghui Wang, Yiyuan Liu, Shizhong Han, Yaowu Liu, James O. Ramsay, Xihao Li, Zilin Li, and Han Chen

sumFREGAT_1.2.5.tar.gz
sumFREGAT_1.2.5.tar.gz(r-4.5-noble)sumFREGAT_1.2.5.tar.gz(r-4.4-noble)
sumFREGAT_1.2.5.tgz(r-4.4-emscripten)sumFREGAT_1.2.5.tgz(r-4.3-emscripten)
sumFREGAT.pdf |sumFREGAT.html
sumFREGAT/json (API)

# Install 'sumFREGAT' in R:
install.packages('sumFREGAT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 stars 6 scripts 269 downloads 1 mentions 12 exports 11 dependencies

Last updated 2 years agofrom:f0e227c90a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-linux-x86_64OKNov 01 2024

Exports:ACATACATOBTFLMminpPCAprep.score.filessimpleMSKATSKATOsumchisumSTAAR

Dependencies:BHGBJlatticeMatrixmvtnormRcppRcppEigenRSpectraseqminerSKATSPAtest