INVESTIGATION Selecting Informative Traits for Multivariate Quantitative Trait Locus Mapping Helps to Gain Optimal

ABSTRACT A major consideration in multitrait analysis is which traits should be jointly analyzed. As a common strategy, multitrait analysis is performed either on pairs of traits or on all of traits. To fully exploit the power of multitrait analysis, we propose variable selection to choose a subset of informative traits for multitrait quantitative trait locus (QTL) mapping. The proposed method is…