SKAT (SNP-set (Sequence) Kernel Association Test)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.
Xihong Lin’s Group, Harvard School of Public Health
- Linux / Windows / MacOsX
- R Package
:: MORE INFORMATION
Wu, M. C., Lee, S., Cai, T., Li, Y., Boehnke, M., and Lin, X. (2011)
Rare Variant Association Testing for Sequencing Data Using the Sequence Kernel Association Test (SKAT).
American Journal of Human Genetics , 89, 82-93.