Gao et al. propose several approaches to incorporate gene annotation into genomic
prediction and evaluate these new methods on populations..... Today, genomic prediction …

Genome-wide prediction approaches represent versatile tools for the analysis and
prediction of complex traits. Mostly they rely on marker-based information, but scenarios …

Haplotype prediction models open many possibilities to improve the accuracy of genomic
selection but require more data processing and computing time than single-SNP prediction …

Genomic prediction using multi-allelic haplotype models improved the prediction accuracy
for all seven human phenotypes, the normality transformed high density lipoproteins, low …

Assessing linkage disequilibrium (LD) across ancestral populations is a powerful approach
for investigating population-specific genetic structure as well as functionally mapping …

In modern plant breeding, genomic selection is becoming the gold standard for selection of
superior genotypes. The basis for genomic prediction models is a set of phenotyped lines …

The prediction of phenotypic traits using high-density genomic data has many applications
such as the selection of plants and animals of commercial interest; and it is expected to play …

The genomic prediction of phenotypes and breeding values in animals and plants has
developed rapidly into its own research field. Results of genomic prediction studies are often …

Background Genomic prediction uses two sources of information: linkage disequilibrium
between markers and quantitative trait loci, and additive genetic relationships between …

Prediction of phenotypes from genotypes is an important objective to fulfill the promises of
genomics, precision medicine and agriculture. Although it's now possible to account for the …