Record added by Jurg Ott (the original Rockefeller list)
SNP-set (Sequence) Kernel Association Test
SKAT is a SNP-set (e.g., a gene or a region) level test for association between a set of rare (or common) variants 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, e.g. a gene or a region level p-value, while adjusting for covariates, such as principal components to account for population stratification. SKAT also allows for power/sample size calculations for designing for sequence association studies.
Seunggeun Lee (Harvard Univ)
Wu, Lee, Cai, Li, Boehnke, Lin (2011), “Rare variant association testing for sequencing data using the sequence kernel association test (SKAT)”, American Journal of Human Genetics, 89:82-93.
Wu, Kraft, Epstein, Taylor, Chanock, Hunter, Lin (2010), “Powerful SNP set analysis for case-control genomeWide association studies”, American Journal of Human Genetics , 86:929-942.