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

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1.2.1 by Nadezhda M. Belonogova, 7 months 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) , Yaowu Liu (ACAT 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

Suggests data.table

See at CRAN