Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 10/19/2015
Publication Date: 11/2/2015
Citation: Thallman, R.M., Parham, J., Kuehn, L.A. 2015. Accounting for discovery bias in genomic EPD [Abstract]. Weight Trait Project Stakeholder meeting, October 19-20, 2015, Clay Center, Nebraska. Available:http://www.beefefficiency.org/annualmtgoct15.html.
Technical Abstract: Genomics has contributed substantially to genetic improvement of beef cattle. The implementation is through computation of genomically enhanced expected progeny differences (GE-EPD), which are predictions of genetic merit of individual animals based on genomic information, pedigree, and data on the trait of interest. Most GE-EPD for dairy cattle, swine, and poultry are computed assuming that genomic effects are distributed equally throughout the genome; most GE-EPD for beef cattle currently do not make this assumption. The relative merits of each approach are briefly discussed. Putting greater emphasis on regions of the genome thought to be more influential results in the phenomenon known as “discovery bias” when the same information is used to both determine which regions are more influential and to predict the genetic merit of individuals. An approach to mitigate the impact of discovery bias on genomic predictions is briefly described and discussed.