This study presented a genomic best linear unbiased prediction (GBLUP) method, including additive and imprinting effects (GBLUP-I), in which an imprinting relationship matrix was constructed from paternal and maternal alleles. The proposed method was implemented to investigate the extent of additive and imprinting variances, and to assess the accuracy of genomic predictions in simulation data. GBLUP-I showed a capacity for capturing imprinting variances. Assuming that imprinting variance accounted for 7.3%, 14.6%, and 23.0% of the total genetic variance, the accuracies in GBLUP-I exceeded those in the GBLUP by 3.9%, 4.7%, and 9.9% when paternal and maternal alleles were known and 2.1%, 2.3%, and 6.4% when paternal and maternal alleles were imputed. An improvement in the performance of GBLUP-I was observed when both paternal and maternal alleles were silenced by imprinting and genetic variances between males and females were almost the same.

Motohide Nishio, Masahiro Satoh

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Genetic Improvement Programs: Selection using molecular information (Posters), , 472, 2014
Download Full PDF BibTEX Citation Endnote Citation Search the Proceedings

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.