[HTML][HTML] Genome-wide prediction of discrete traits using Bayesian regressions and machine learning
O González-Recio, S Forni - Genetics Selection Evolution, 2011 - Springer
Background Genomic selection has gained much attention and the main goal is to increase
the predictive accuracy and the genetic gain in livestock using dense marker information …
the predictive accuracy and the genetic gain in livestock using dense marker information …
Predicted residual error sum of squares of mixed models: an application for genomic prediction
S Xu - G3: Genes, Genomes, Genetics, 2017 - academic.oup.com
Genomic prediction is a statistical method to predict phenotypes of polygenic traits using
high-throughput genomic data. Most diseases and behaviors in humans and animals are …
high-throughput genomic data. Most diseases and behaviors in humans and animals are …
Predicting genetic values: a kernel-based best linear unbiased prediction with genomic data
Genomic data provide a valuable source of information for modeling covariance structures,
allowing a more accurate prediction of total genetic values (GVs). We apply the kriging …
allowing a more accurate prediction of total genetic values (GVs). We apply the kriging …
[HTML][HTML] Best linear unbiased prediction of genomic breeding values using a trait-specific marker-derived relationship matrix
Background With the availability of high density whole-genome single nucleotide
polymorphism chips, genomic selection has become a promising method to estimate genetic …
polymorphism chips, genomic selection has become a promising method to estimate genetic …
[HTML][HTML] Within-and across-breed genomic prediction using whole-genome sequence and single nucleotide polymorphism panels
OOM Iheshiulor, JA Woolliams, X Yu… - Genetics Selection …, 2016 - Springer
Background Currently, genomic prediction in cattle is largely based on panels of about 54k
single nucleotide polymorphisms (SNPs). However with the decreasing costs of and current …
single nucleotide polymorphisms (SNPs). However with the decreasing costs of and current …
[HTML][HTML] Estimation of genomic breeding values using the Horseshoe prior
R Pong-Wong - BMC proceedings, 2014 - Springer
Background A method for estimating genomic breeding values (GEBV) based on the
Horseshoe prior was introduced and used on the analysis of the 16 th QTLMAS workshop …
Horseshoe prior was introduced and used on the analysis of the 16 th QTLMAS workshop …
[HTML][HTML] Accounting for genomic pre-selection in national BLUP evaluations in dairy cattle
C Patry, V Ducrocq - Genetics Selection Evolution, 2011 - Springer
Abstract Background In future Best Linear Unbiased Prediction (BLUP) evaluations of dairy
cattle, genomic selection of young sires will cause evaluation biases and loss of accuracy …
cattle, genomic selection of young sires will cause evaluation biases and loss of accuracy …
Overview of Genomic Prediction Methods and the Associated Assumptions on the Variance of Marker Effect, and on the Architecture of the Target Trait
Genomic selection (GS) is a methodology that revolutionized the process of breeding
improved genetic materials in plant and animal breeding programs. It uses predicted …
improved genetic materials in plant and animal breeding programs. It uses predicted …
[HTML][HTML] An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation
The H-matrix best linear unbiased prediction (HBLUP) method has been widely used in
livestock breeding programs. It can integrate all information, including pedigree, genotypes …
livestock breeding programs. It can integrate all information, including pedigree, genotypes …
[HTML][HTML] Reliabilities of estimated breeding values in models with metafounders
Background Reliabilities of best linear unbiased predictions (BLUP) of breeding values are
defined as the squared correlation between true and estimated breeding values and are …
defined as the squared correlation between true and estimated breeding values and are …