You are here
Genomic selection and genome-wide association studies in domestic animals
Genomic Selection and Genome-wide Association Studies in Domestic Animals
Genomic selection using genome-wide SNP markers has rapidly become an accepted technology for genetic improvement in plant and animal species. However, current methodology for genomic prediction and selection is focused on additive effects. Based on their methodology for epistasis detection, these researchers have developed methods for genopic prediction of additive and dominance effects, where dominance effect is a type of single-locus non-additive effect. They have successfully developed shared memory parallel computing tool that achieved nearly ideal scalability. They have conducted expensive simulation evaluations of these new methods and computing tools and applied these methods and tools to analyze genomic data in humans, dairy cattle, and swine.
During the current period, the researchers will test the limits of their computing tools, expanding the capability of their computing tool to analyze much larger sample sizes, and conduct data analysis for human and animal genomics data with much larger sample sizes than previously analyzed. In addition, new methods to be developed this year will be much more demanding computationally.
A bibliography of publications acknowledging MSI is attached.