Genomic evaluation including intermediate omics data

The discovery of high-density molecular markers (e.g., single-nucleotide polymorphisms, SNPs) in the genome has revolutionized genetic analyses of quantitative traits in human medicine, animal and plant breeding has been widely used to incorporate marker effects from whole-genome data with phenotypic data into genetic evaluation in animal and plant breeding, and this is the primary application that uses whole-genome data in agriculture. To incorporate intermediate omics data (e.g., gene expression levels) between genotypes and phenotypes for genomic evaluation, we will develop a statistical method and software tools.

UC PI:
Hao Cheng 
Animal Science, UC Davis

France PI:
Andres Legarra
Animal Genetics, INRAE