We created a test based on kernel distance-covariance methodology called GAMuT for gene-based association testing of rare variants with multiple phenotypes in a sample of unrelated subjects. The analyzed phenotypes can be either continuous or categorical in nature. The method also allows for adjustment of covariates using adjusted residuals. GAMuT is implemented as a set of R routines, which can be executed within an R environment.

Participants:

• Dr. Michael Epstein

Publications:

• A Statistical Approach for Testing Cross-Phenotype Effects of Rare Variants. AJHG, March 3, 2016, 98(3), p. 525-540

Software:

• https://github.com/epstein-software/GAMuT