Akdemir Deniz, Jannink Jean-Luc
Department of Plant Breeding and Genetics, Cornell University, Ithaca, New York 14853
Department of Plant Breeding and Genetics, Cornell University, Ithaca, New York 14853.
Genetics. 2015 Mar;199(3):857-71. doi: 10.1534/genetics.114.173658. Epub 2015 Jan 22.
In plant and animal breeding studies a distinction is made between the genetic value (additive plus epistatic genetic effects) and the breeding value (additive genetic effects) of an individual since it is expected that some of the epistatic genetic effects will be lost due to recombination. In this article, we argue that the breeder can take advantage of the epistatic marker effects in regions of low recombination. The models introduced here aim to estimate local epistatic line heritability by using genetic map information and combining local additive and epistatic effects. To this end, we have used semiparametric mixed models with multiple local genomic relationship matrices with hierarchical designs. Elastic-net postprocessing was used to introduce sparsity. Our models produce good predictive performance along with useful explanatory information.
在植物和动物育种研究中，个体的遗传值（加性加上上位性遗传效应）和育种值（加性遗传效应）是有区别的，因为预计一些上位性遗传效应会因重组而丢失。在本文中，我们认为育种者可以利用低重组区域的上位性标记效应。这里引入的模型旨在通过使用遗传图谱信息并结合局部加性和上位性效应来估计局部上位性品系遗传力。为此，我们使用了具有层次设计的多个局部基因组关系矩阵的半参数混合模型。弹性网络后处理用于引入稀疏性。我们的模型在产生有用解释信息的同时，还具有良好的预测性能。
