sumFREGAT: Fast Region-Based Association Tests on Summary Statistics

An adaptation of classical region/gene-based association analysis techniques that uses summary statistics (P values and effect sizes) and correlations between genetic variants as input. It is a tool to perform the most common and efficient gene-based tests on the results of genome-wide association (meta-)analyses without having the original genotypes and phenotypes at hand.

Version: 1.0.0
Depends: R (≥ 3.0.0)
Imports: methods, Matrix, splines
Suggests: seqminer
Published: 2018-01-17
Author: Nadezhda M. Belonogova and Gulnara R. Svishcheva with contributions from: Seunggeun Lee (kernel functions), Pierre Lafaye de Micheaux ('davies' method), Thomas Lumley ('kuonen' method), and James O. Ramsay (functional data analysis functions)
Maintainer: Nadezhda M. Belonogova <belon at bionet.nsc.ru>
License: GPL-3
NeedsCompilation: yes
CRAN checks: sumFREGAT results

Downloads:

Reference manual: sumFREGAT.pdf
Package source: sumFREGAT_1.0.0.tar.gz
Windows binaries: r-devel: sumFREGAT_1.0.0.zip, r-release: sumFREGAT_1.0.0.zip, r-oldrel: sumFREGAT_1.0.0.zip
OS X binaries: r-release: sumFREGAT_1.0.0.tgz, r-oldrel: sumFREGAT_1.0.0.tgz

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