Background Molecular marker information is a common source to draw inferences about the
relationship between genetic and phenotypic variation. Genetic effects are often modelled …

Modern genomewide association studies are characterized by the problem of “missing
heritability.” Epistasis, or genetic interaction, has been suggested as a possible explanation …

Background Currently, association studies are analysed using statistical mixed models, with
marker effects estimated by a linear transformation of genomic breeding values. The …

Genomic prediction methods based on multiple markers have potential to include
nonadditive effects in prediction and analysis of complex traits. However, most …

Within quantitative genetics, the term “epistasis” is used to broadly describe situations in
which combinations of genetic variants show nonadditive phenotypic effects (Phillips 1998 …

Higher order interactions are known to affect many different phenotypic traits. The advent of
large-scale genotyping has, however, shown that finding interactions is not a trivial task …

The observable phenotype is the manifestation of information that is passed along different
organization levels (transcriptional, translational, and metabolic) of a biological system. The …

Epistasis is defined as interactions between alleles of two or more genetic loci. Detection of
epistatic interactions is the key to understand the genetic architecture and gene networks …

The many quantitative traits of interest to plant breeders are often genetically correlated,
which can complicate progress from selection. Improving multiple traits may be enhanced by …

The application of quantitative genetics in plant and animal breeding has largely focused on
additive models, which may also capture dominance and epistatic effects. Partitioning …