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Open Access Methodology article

Including non-additive genetic effects in Bayesian methods for the prediction of genetic values based on genome-wide markers

Dörte Wittenburg*, Nina Melzer and Norbert Reinsch

Author Affiliations

Research Unit Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany

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BMC Genetics 2011, 12:74  doi:10.1186/1471-2156-12-74

Published: 25 August 2011

Additional files

Additional file 1:

The figure shows estimates of genetic effects and location if epistasis was present in the 23-QTL scenario: (a) additive, (b) dominance, (c) additive × additive and (d) additive × dominance effects for a single dataset with M2 using fBayesB. Filled circles were plotted for each estimated effect > 10-4. Location of (e) additive × additive and (f) additive × dominance epistatic effects. Single accuracy of genetic value prediction was 0.851.

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Additional file 2:

The fBayesB approach was applied to public data on a heterogeneous stock of mice. Genetic effects were estimated based on the different models including only additive effects (M0), additive and dominance effects (M1), additive, dominance and pairwise epistatic effects (M2).

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