Incorporating Interactions and Gene Annotation Data in Genomic Prediction
2017
Martini, Johannes Wolfgang Robert | Simianer, Henner Prof. Dr. | Kneib, Thomas Prof. Dr. | Krivobokova, Tatyana Prof. Dr.
In this work, we consider theoretical and practical aspects of models incorporating interactions, so called "epistasis models''. Moreover, we follow approaches towards the incorporation of biological prior knowledge into prediction methods. The three main chapters are given by the corresponding published articles. In the final discussion, the coding dependence of ridge regression methods is reviewed and the usefulness of the prediction of total genetic values in different breeding schemes is discussed. In the last part of the discussion, we review the results of this work in a broadened context, which is followed by an outlook on future work.
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