Current efforts in systems genetics have focused on the development of statistical
approaches that aim to disentangle causal relationships among molecular phenotypes in …

Background A typical genetical genomics experiment results in four separate data sets;
genotype, gene expression, higher-order phenotypic data and metadata that describe the …

Increasing popularity of high-throughput phenotyping technologies, such as image-based
phenotyping, offer novel ways for quantifying plant growth and morphology. These new …

A major goal in the study of complex traits is to decipher the causal interrelationships among
correlated phenotypes. Current methods mostly yield undirected networks that connect …

Highlights•Networks facilitate gene-to-phenotype mapping by gene prioritization and GWAS
data analysis.•Network-assisted crop systems genetics require genome-scale functional …

Proper cell function depends on networks of proteins that interact physically and functionally
to carry out physiological processes. Thus, it seems logical that the impact of sequence …

Phenotypic variation, including that which underlies health and disease in humans, results
in part from multiple interactions among both genetic variation and environmental factors …

Genome-wide association studies (GWAS) identify genetic variants that distinguish a control
population from a population with a specific trait. Two challenges in GWAS are:(1) …

The term “effect” in additive genetic effect suggests a causal meaning. However, inferences
of such quantities for selection purposes are typically viewed and conducted as a prediction …

Dominance genetic effects are rarely included in pedigree-based genetic evaluation. With
the availability of single nucleotide polymorphism markers and the development of genomic …