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This article is part of the supplement: Proceedings of the 12th European workshop on QTL mapping and marker assisted selection

Open Access Proceedings

Comparison of statistical procedures for estimating polygenic effects using dense genome-wide marker data

Eduardo CG Pimentel1*, Sven König1, Flavio S Schenkel2 and Henner Simianer1

Author Affiliations

1 Institute of Animal Breeding and Genetics, University of Göttingen, Göttingen, 37075, Germany

2 Department of Animal and Poultry Science, University of Guelph, Guelph – ON, N1G 2W1, Canada

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BMC Proceedings 2009, 3(Suppl 1):S12  doi:10.1186/1753-6561-3-S1-S12

Published: 23 February 2009


In this study we compared different statistical procedures for estimating SNP effects using the simulated data set from the XII QTL-MAS workshop. Five procedures were considered and tested in a reference population, i.e., the first four generations, from which phenotypes and genotypes were available. The procedures can be interpreted as variants of ridge regression, with different ways for defining the shrinkage parameter. Comparisons were made with respect to the correlation between genomic and conventional estimated breeding values. Moderate correlations were obtained from all methods. Two of them were used to predict genomic breeding values in the last three generations. Correlations between these and the true breeding values were also moderate. We concluded that the ridge regression procedures applied in this study did not outperform the simple use of a ratio of variances in a mixed model method, both providing moderate accuracies of predicted genomic breeding values.