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.

Version: 1.1.0
Depends: R (≥ 3.0.0)
Imports: methods, Matrix, splines, seqminer, GBJ
Published: 2018-11-15
Author: Nadezhda M. Belonogova and Gulnara R. Svishcheva 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)
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_1.1.0.tar.gz
Windows binaries: r-devel: sumFREGAT_1.1.0.zip, r-release: sumFREGAT_1.1.0.zip, r-oldrel: sumFREGAT_1.1.0.zip
OS X binaries: r-release: sumFREGAT_1.1.0.tgz, r-oldrel: sumFREGAT_1.1.0.tgz
Old sources: sumFREGAT archive

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