Genomic selection (GS) is the use of statistical methods to estimate the genetic merit of a
genotyped animal based on prediction equations derived from large ancestral populations …

Background Genotype imputation can help reduce genotyping costs particularly for
implementation of genomic selection. In applications entailing large populations, recovering …

We wrote this book to fill the gap between textbooks of quantitative genetic theory and
software manuals that provide details on analytical methods but little context or perspective …

In livestock, many studies have reported the results of imputation to 50k single nucleotide
polymorphism (SNP) genotypes for animals that are genotyped with low-density SNP …

Genomic evaluation methods assume that the reference population is genotyped and
phenotyped. This is most often false and the generation of pseudo-phenotypes is uncertain …

Meiotic recombination is an essential biological process that generates genetic diversity and
ensures proper segregation of chromosomes during meiosis. From a large USDA dairy …

Background Millions of genetic variants have been identified by population-scale
sequencing projects, but subsets of these variants are needed for routine genomic …

Background The development of next-generation sequencing technologies (NGS) has made
the use of whole-genome sequence data for routine genetic evaluations possible, which has …

Many computations with SNP data including genomic evaluation, parameter estimation, and
genome-wide association studies use an inverse of the genomic relationship matrix. The …

Background Genotypic information produced from single nucleotide polymorphism (SNP)
arrays has routinely been used to identify genomic regions associated with complex traits in …