testing G×E interactions, for example, jointly testing for a main and interaction effect, testing for population stratification, and the use of longitudinal data with multiple measurements of the environmental exposure to lessen the problem of measurement error. Although several new issues arise when one analyzes G×E interactions in a GWAS, Group 10 demonstrated that such analysis may hold the promise of uncovering new genes that might not otherwise be detected.
