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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.1.0 by Nadezhda M. Belonogova, a year ago

Browse source code at

Authors: Nadezhda M. Belonogova <[email protected]> and Gulnara R. Svishcheva <[email protected]> with contributions from: Seunggeun Lee (kernel functions) , Pierre Lafaye de Micheaux ('davies' method) , Minghui Wang , Yiyuan Liu , Shizhong Han (simpleM function) Thomas Lumley ('kuonen' method) , and James O. Ramsay (functional data analysis functions)

Documentation:   PDF Manual  

GPL-3 license

Imports methods, Matrix, splines, seqminer, GBJ

See at CRAN