Summary and Implications
Accuracy of genomic estimated breeding values obtained using the standard marker effect model was compared with models that account for population structure, either by applying a transmission disequilibrium test (TDT) approach or by fitting polygenic effects. The TDT approach was inferior to the standard model, whereas fitting polygenic effects in addition to marker effects increased the accuracy of estimated breeding values of the progeny of training individuals but also seven generations after training. Thus, fitting polygenic effects enhances utilization of genomic information both in the short and long-term.
Iowa State University
Piyasatian, Napapan and Dekkers, Jack C. M.
"Accuracy of Genomic Prediction when Accounting for Population Structure and Polygenic Effects,"
Animal Industry Report:
AS 659, ASL R2817.
Available at: https://lib.dr.iastate.edu/ans_air/vol659/iss1/68