Genomic selection uses whole-genome marker models to predict phenotypes or genetic
values for complex traits. Some of these models fit interaction terms between markers, and …

The genomic relationship matrix plays a key role in the analysis of genetic diversity, genomic
prediction, and genome-wide association studies. The epistatic genomic relationship matrix …

Whole genome epistasis models with interactions between different loci can be
approximated by genomic relationship models based on Hadamard powers of the additive …

Abstract Key Message The accuracy of genomic prediction of phenotypes can be increased
by including the top-ranked pairwise SNP interactions into the prediction model. Abstract We …

When including genotype× environment interactions (G× E) in genomic prediction models,
Hadamard or Kronecker products have been used to model the covariance structure of …

In this chapter, we discuss the motivation for integrating other types of omics data into
genomic prediction methods. We give an overview of literature investigating the …

Simple Summary The interactions between SNPs, which are known as epistasis, can
strongly influence the phenotype. Their detection is still a challenge, which is made even …

ir. David M. Vanavermaete Page 1 Department of Data Analysis and Mathematical Modelling
Exploring and exploiting genetic variation for balancing short- and long-term genetic gains in …

Wide availability of genomic data has had a considerable impact on plant and animal
breeding programs which enables the study of genotypes and their relationships with …

Most research questions in modern cognitive neuroscience relate two sets of variables
collected from the same observations (eg, participants). A popular multivariate method for …