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.
- Version1.2.5
- R version≥ 3.0.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release06/07/2022
Documentation
Team
Nadezhda M. Belonogova
Nadezhda M. Belonogova and Gulnara R. Svishcheva 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
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- Depends1 package
- Imports5 packages
- Suggests1 package