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.
||R (≥ 2.13.0)
||Seunggeun (Shawn) Lee, with contributions from Larisa Miropolsky and Michael Wu
||Seunggeun (Shawn) Lee <leeshawn at umich.edu>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]