Michael I. Love

DetectGxT: detecting gene-by-treatment interactions on molecular count phenotypes accounting for allelic additivity

An R software package is developed that uses nonlinear regression to more accurately model the relationship between the genotype and the transformed molecular count phenotypes and suggests an advantage of nonlinear regression over linear regression in detecting G×T interactions on molecular phenotypes.