Key message Models based on additive marker effects and on epistatic interactions can be
translated into genomic relationship models. This equivalence allows to perform predictions …

Standard genome-wide association studies (GWAS) scan for relationships between each of
p molecular markers and a continuously distributed target trait. Typically, a marker-based …

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

Background In statistical genetics, an important task involves building predictive models of
the genotype–phenotype relationship to attribute a proportion of the total phenotypic …

Relationships among traits were investigated on the genomic and residual levels using
novel methodology. This included inference on these relationships via Bayesian networks …

The genomics era has brought useful tools to dissect the genetic architecture of complex
traits. Here we propose a multivariate reaction norm model (MRNM) to tackle genotype …

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 …

Association studies use statistical links between genetic markers and the phenotype
variation across many individuals to identify genes controlling variation in the target …

Genome-wide prediction approaches represent versatile tools for the analysis and
prediction of complex traits. Mostly they rely on marker-based information, but scenarios …

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 …