Bayesian models are described that use atent variables to model covariances. These models are flexible, scale up linearly in the number of traits, and allow separating covariance structures in different components at the trait level and at the genomic level. Multi-trait version of the BayesA (MT-BA) and Bayesian LASSO (MT-BL) are described that model heterogeneous variance and covariance over the genome, and a model that directly models multiple genomic breeding values (MT-MG), representing different genomic covariance structures. The models are demonstrated on a mouse data set to model the genomic covariances between body weight, feed intake and feed efficiency.
Original language
English
Publication year
17 Aug 2014
Number of pages
4
Publication status
Published - 17 Aug 2014
Event
10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada Duration: 17 Aug 2014 → 22 Aug 2014 Conference number: 10th
Conference
Conference
10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Number
10th
Location
The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4