SKAT: SNP-set (Sequence) Kernel Association Test

SKAT is a kernel regression based association test between a set of single nucleotide polymorphism (SNP) and dichotomous or quantitative phenotypes. SKAT aggregates individual score test statistics of SNPs in a SNP set and efficiently computes SNP-set level p-values, while adjusting for covariates, such as principal components to account for population stratification.

Version: 1.0.1
Depends: R (≥ 2.13.0)
Published: 2014-11-04
Author: Seunggeun (Shawn) Lee, with contributions from Larisa Miropolsky and Michael Wu
Maintainer: Seunggeun (Shawn) Lee <leeshawn at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: SKAT results


Reference manual: SKAT.pdf
Vignettes: SKAT
Package source: SKAT_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: SKAT_1.0.1.tgz, r-oldrel: SKAT_1.0.1.tgz
OS X Mavericks binaries: r-release: SKAT_1.0.1.tgz
Old sources: SKAT archive

Reverse dependencies:

Reverse imports: MetaSKAT
Reverse suggests: seqMeta, seqminer, skatMeta