Project abstract for group dayang

Genomic Selection Using Functional and Structural Genomic Information

Genomic selection has been rapidly accepted as a rountine application in animal and plant breeding and has been applied to predict human phenotypes. However, current methods for genomic selection mostly use structural genomic information represented by the analysis of single SNP markers covering the genome, leaving functional genomic information largely unused. These researchers have developed multi-allelic haplotype methods to integrate functional and structural genomic information for genomic selection (accepted for publication), developed a computer package (to be reported at PAG-2016) to implement these methods and obtained encouraging results for predicting phenotypes in humans and swine (two conference reports). However, this methodology is highly demanding for computing resources due to the needs to compute large matrices, iterative solutions, and extensive validation studies that each consists of a number of repeats. The researchers are continuing with this work on an expanded scale by adding new and larger datasets.

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