Whole-genome resequencing technology has improved rapidly during recent years and is
expected to improve further such that the sequencing of an entire human genome sequence …

The use of dense SNPs to predict the genetic value of an individual for a complex trait is
often referred to as “genomic selection” in livestock and crops, but is also relevant to human …

Genomic selection uses genome-wide dense SNP marker genotyping for the prediction of
genetic values, and consists of two steps:(1) estimation of SNP effects, and (2) prediction of …

Genomic prediction from whole-genome sequence data is attractive, as the accuracy of
genomic prediction is no longer bounded by extent of linkage disequilibrium between DNA …

The analysis of large genomic data is hampered by issues such as a small number of
observations and a large number of predictive variables (commonly known as “large P small …

The site frequency spectrum (SFS) is of primary interest in population genetic studies,
because the SFS compresses variation data into a simple summary from which many …

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 …

Genomic prediction of future phenotypes or genetic merit using dense SNP genotypes can
be used for prediction of disease risk, forensics, and genomic selection of livestock and …

Next-Generation Sequencing (NGS) technologies have dramatically revolutionised research
in many fields of genetics. The ability to sequence many individuals from one or multiple …

Background The theory of genomic selection is based on the prediction of the effects of
quantitative trait loci (QTL) in linkage disequilibrium (LD) with markers. However, there is …