Quantitative or complex traits are controlled by many genes and environmental factors. Most
traits in livestock breeding are quantitative traits. Mapping genes and causative mutations …

Discovery of genetic variants underlying bacterial phenotypes and the prediction of
phenotypes such as antibiotic resistance are fundamental tasks in bacterial genomics …

Micronutrient malnutrition is one of the main public health problems in many parts of the
world. This problem raises the attention of all valuable sources of micronutrients for the …

Genome wide association study was conducted using a mixed linear model (MLM)
approach that accounted for family structure to identify single nucleotide polymorphisms …

A multiple-trait Bayesian LASSO (MBL) for genome-based analysis and prediction of
quantitative traits is presented and applied to two real data sets. The data-generating model …

Simple Summary Milk fat content and fatty acid composition are key traits for the dairy
industry, as they directly influence consumer acceptance of dairy products and are …

Age-at-onset traits are of paramount importance in studies of age-related diseases and
behavioral genetics. Cox mixed-effects models (CMEMs) are widely used when sample …

Network based statistical models accounting for putative causal relationships among
multiple phenotypes can be used to infer single-nucleotide polymorphism (SNP) effect which …

A widely used method for prediction of complex traits in animal and plant breeding is
“genomic best linear unbiased prediction”(GBLUP). In a quantitative genetics setting, BLUP …

The explosive growth of genomic data provides an opportunity to make increased use of
sequence variations for phenotype prediction. We have developed a prediction machine for …