To evaluate the flexibility of the Bayesian LASSO six scenarios were simulated considering a trait controlled by 145 or 725 quantitative trait loci (QTL), where the QTL effects were sampled from three distributions: Normal, Gamma and Uniform. The population size was 4,500 animals and each of genetic structures were simulated 30 times. The posterior mean for additive genetic variance and heritability were close to the real value. Correlations between estimated and true genomic breeding values (GBV) were high and close in all simulated scenarios, indicating that the structure of the trait does not affect the predictive ability of the model. The Bayesian LASSO showed similar performance in terms of genetic parameters estimation and genomic breeding values predictions in spite of the underlying assumptions of genetic structure.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Genetic Improvement Programs: Selection using molecular information (Posters), , 514, 2014
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