[HTML][HTML] Prediction of complex traits: robust alternatives to best linear unbiased prediction
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 …
“genomic best linear unbiased prediction”(GBLUP). In a quantitative genetics setting, BLUP …
[HTML][HTML] Enhancing genome-enabled prediction by bagging genomic BLUP
We examined whether or not the predictive ability of genomic best linear unbiased
prediction (GBLUP) could be improved via a resampling method used in machine learning …
prediction (GBLUP) could be improved via a resampling method used in machine learning …
Multiple quantitative trait analysis using Bayesian networks
Abstract Models for genome-wide prediction and association studies usually target a single
phenotypic trait. However, in animal and plant genetics it is common to record information on …
phenotypic trait. However, in animal and plant genetics it is common to record information on …
Genomic prediction using multi-trait weighted GBLUP accounting for heterogeneous variances and covariances across the genome
Implicit assumption of common (co) variance for all loci in multi-trait Genomic Best Linear
Unbiased Prediction (GBLUP) results in a genomic relationship matrix (G) that is common to …
Unbiased Prediction (GBLUP) results in a genomic relationship matrix (G) that is common to …
Cross-validation without doing cross-validation in genome-enabled prediction
Cross-validation of methods is an essential component of genome-enabled prediction of
complex traits. We develop formulae for computing the predictions that would be obtained …
complex traits. We develop formulae for computing the predictions that would be obtained …
[HTML][HTML] Performances of Adaptive MultiBLUP, Bayesian regressions, and weighted-GBLUP approaches for genomic predictions in Belgian Blue beef cattle
JL Gualdrón Duarte, AS Gori, X Hubin, D Lourenco… - BMC genomics, 2020 - Springer
Background Genomic selection has been successfully implemented in many livestock and
crop species. The genomic best linear unbiased predictor (GBLUP) approach, assigning …
crop species. The genomic best linear unbiased predictor (GBLUP) approach, assigning …
Fast genomic predictions via Bayesian G-BLUP and multilocus models of threshold traits including censored Gaussian data
HP Kärkkäinen, MJ Sillanpää - G3: Genes, Genomes, Genetics, 2013 - academic.oup.com
Because of the increased availability of genome-wide sets of molecular markers along with
reduced cost of genotyping large samples of individuals, genomic estimated breeding …
reduced cost of genotyping large samples of individuals, genomic estimated breeding …
Genomic BLUP decoded: a look into the black box of genomic prediction
Genomic best linear unbiased prediction (BLUP) is a statistical method that uses
relationships between individuals calculated from single-nucleotide polymorphisms (SNPs) …
relationships between individuals calculated from single-nucleotide polymorphisms (SNPs) …
Performance of Bayesian and BLUP alphabets for genomic prediction: analysis, comparison and results
We evaluated the performances of three BLUP and five Bayesian methods for genomic
prediction by using nine actual and 54 simulated datasets. The genomic prediction accuracy …
prediction by using nine actual and 54 simulated datasets. The genomic prediction accuracy …
[HTML][HTML] Simultaneous fitting of genomic-BLUP and Bayes-C components in a genomic prediction model
OOM Iheshiulor, JA Woolliams, M Svendsen… - Genetics Selection …, 2017 - Springer
Background The rapid adoption of genomic selection is due to two key factors: availability of
both high-throughput dense genotyping and statistical methods to estimate and predict …
both high-throughput dense genotyping and statistical methods to estimate and predict …