Evaluation of Antedependence Model Performance and Genomic Prediction for Growth in Danish Pigs

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The widely used genomic prediction models such as GBLUP, BayesA/B models all assume marker effects independent. Bayesian antedependence models extend this by estimating correlated marker effects, arising from linkage disequilibrium between markers. In this study we compare model fit and complexity, as well as prediction accuracy between antedependence models and other models applied to Danish Duroc pig data, including 29,567 SNPs. The results showed that anteGBLUP model and other conventional models did equally well in prediction. DIC for the models showed that anteBayesA and double-anteBayesA models had better fit, but higher number of effective parameters, and lower accuracy. In conclusion, the simple antedependence model works well for genomic prediction, but more complex antedependence models may be interesting to estimate marker effects correcting for LD structure. The DIC appears a good indicator of prediction accuracy
Original languageEnglish
Publication year17 Aug 2014
Number of pages3
Publication statusPublished - 17 Aug 2014
Event10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada
Duration: 17 Aug 201422 Aug 2014
Conference number: 10th


Conference10th World Congress on Genetics Applied to Livestock Production (WCGALP)
LocationThe Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4

    Research areas

  • antedependence model, genomic prediction model, comæexity and fit

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