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- Title
Locally Epistatic Genomic Relationship Matrices for Genomic Association and Prediction.
- Authors
Akdemir, Deniz; Jannink, Jean-Luc
- Abstract
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.
- Subjects
PLANT breeding research; ANIMAL breeding research; GENETIC recombination research; GENETIC research; PLANT genetics; ANIMAL genetics research
- Publication
Genetics, 2015, Vol 199, Issue 3, p857
- ISSN
0016-6731
- Publication type
Article
- DOI
10.1534/genetics.114.173658