Aarhus Universitets segl

Luc Janss

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
OriginalsprogEngelsk
Udgivelsesår17 aug. 2014
Antal sider3
StatusUdgivet - 17 aug. 2014
Begivenhed10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada
Varighed: 17 aug. 201422 aug. 2014
Konferencens nummer: 10th

Konference

Konference10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Nummer10th
LokationThe Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4
LandCanada
ByVancouver
Periode17/08/201422/08/2014

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