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 …
Sensitivity to prior specification in Bayesian genome-based prediction models
Different statistical models have been proposed for maximizing prediction accuracy in
genome-based prediction of breeding values in plant and animal breeding. However, little is …
genome-based prediction of breeding values in plant and animal breeding. However, little is …
[HTML][HTML] Across population genomic prediction scenarios in which Bayesian variable selection outperforms GBLUP
S van den Berg, MPL Calus, THE Meuwissen… - BMC genetics, 2015 - Springer
Background The use of information across populations is an attractive approach to increase
the accuracy of genomic prediction for numerically small populations. However, accuracies …
the accuracy of genomic prediction for numerically small populations. However, accuracies …
[HTML][HTML] Extension of the Bayesian alphabet for genomic selection
Abstract Background Two Bayesian methods, BayesC π and BayesD π, were developed for
genomic prediction to address the drawback of BayesA and BayesB regarding the impact of …
genomic prediction to address the drawback of BayesA and BayesB regarding the impact of …
[HTML][HTML] A Bayesian method and its variational approximation for prediction of genomic breeding values in multiple traits
T Hayashi, H Iwata - BMC bioinformatics, 2013 - Springer
Background Genomic selection is an effective tool for animal and plant breeding, allowing
effective individual selection without phenotypic records through the prediction of genomic …
effective individual selection without phenotypic records through the prediction of genomic …
A comparison of genomic selection methods for breeding value prediction
X Wang, Z Yang, C Xu - Science Bulletin, 2015 - Elsevier
Recent advances in molecular genetics techniques have made dense marker maps
available, and the prediction of breeding value at the genome level has been employed in …
available, and the prediction of breeding value at the genome level has been employed in …
[HTML][HTML] Genomic breeding value prediction and QTL mapping of QTLMAS2010 data using Bayesian methods
Background Bayesian methods allow prediction of genomic breeding values (GEBVs) using
high-density single nucleotide polymorphisms (SNPs) covering the whole genome with …
high-density single nucleotide polymorphisms (SNPs) covering the whole genome with …
[HTML][HTML] Improving accuracy of genomic prediction by genetic architecture based priors in a Bayesian model
N Gao, J Li, J He, G Xiao, Y Luo, H Zhang, Z Chen… - BMC genetics, 2015 - Springer
Background In recent years, with the development of high-throughput sequencing
technology and the commercial availability of genotyping bead chips, more attention is …
technology and the commercial availability of genotyping bead chips, more attention is …
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 …
[HTML][HTML] Expanding the BLUP alphabet for genomic prediction adaptable to the genetic architectures of complex traits
Improvement of statistical methods is crucial for realizing the potential of increasingly dense
genetic markers. Bayesian methods treat all markers as random effects, exhibit an …
genetic markers. Bayesian methods treat all markers as random effects, exhibit an …