Incorporating Interactions and Gene Annotation Data in Genomic Prediction

by Johannes Wolfgang Robert Martini
Doctoral thesis
Date of Examination:2017-11-03
Date of issue:2018-10-08
Advisor:Prof. Dr. Henner Simianer
Referee:Prof. Dr. Thomas Kneib
Referee:Prof. Dr. Tatyana Krivobokova
Persistent Address: http://dx.doi.org/10.53846/goediss-7074

 

 

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Abstract

English

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.
Keywords: epistasis; quantitative genetics; statistical genetics; total genetic values; categorical epistasis model
 
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