FastSKAT: Sequence kernel association tests for very large sets of markers.

ABSTRACT: The sequence kernel association test (SKAT) is widely used to test for associations between a phenotype and a set of genetic variants that are usually rare. Evaluating tail probabilities or quantiles of the null distribution for SKAT requires computing the eigenvalues of a matrix related to the genotype covariance between markers. Extracting the full set of eigenvalues of this matrix (an n×n matrix, for n subjects) has computational complexity proportional to n³ . As SKAT is often used when n>104

SUBMITTER: Lumley T 

PROVIDER: S-EPMC6129408 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature