Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions

Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions

Mixed models can be considered as a type of penalized regression and are everyday tools in statistical genetics. The standard mixed model for whole genome regression (WGR) is ridge regression best linear unbiased prediction (RRBLUP) which is based on an additive marker effect model. Many publication...

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Bibliographic Details
Main Authors: Johannes W. R. Martini, Francisco Rosales, Ngoc-Thuy Ha, Johannes Heise, Valentin Wimmer, Thomas Kneib
Format: Article
Language:English
Published: Oxford University Press 2019-04-01
Series:G3: Genes, Genomes, Genetics
Subjects:
Interactions
whole genome regression
EGBLUP
GxE
Hadamard products
Genomic selection
Genomic Prediction
GenPred
Shared Data Resources
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.118.200961

Internet

http://g3journal.org/lookup/doi/10.1534/g3.118.200961

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