Prediction of Complex Traits: Robust Alternatives to Best Linear Unbiased Prediction [PDF]
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 is a linear regression of phenotypes on a pedigree or on a genomic ...
Daniel Gianola +7 more
doaj +6 more sources
Marker assisted selection using best linear unbiased prediction [PDF]
Best linear unbiased prediction (BLUP) is applied to a mixed linear model with additive effects for alleles at a market quantitative trait locus (MQTL) and additive effects for alleles at the remaining quantitative trait loci (QTL). A recursive algorithm
Grossman M, Fernando RL
doaj +5 more sources
Core-dependent changes in genomic predictions using the Algorithm for Proven and Young in single-step genomic best linear unbiased prediction. [PDF]
Single-step genomic best linear unbiased prediction with the Algorithm for Proven and Young (APY) is a popular method for large-scale genomic evaluations.
Misztal I +3 more
europepmc +4 more sources
GWABLUP: genome-wide association assisted best linear unbiased prediction of genetic values [PDF]
Background Since the very beginning of genomic selection, researchers investigated methods that improved upon SNP-BLUP (single nucleotide polymorphism best linear unbiased prediction).
Theo Meuwissen +2 more
doaj +3 more sources
Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses. [PDF]
Sequencing data enable the detection of causal loci or single nucleotide polymorphisms (SNPs) highly linked to causal loci to improve genomic prediction.
Liu A +10 more
europepmc +4 more sources
Genomic selection through single-step genomic best linear unbiased prediction improves the accuracy of evaluation in Hanwoo cattle. [PDF]
Objective Genomic selection (GS) is becoming popular in animals’ genetic development. We, therefore, investigated the single-step genomic best linear unbiased prediction (ssGBLUP) as tool for GS, and compared its efficacy with the traditional pedigree ...
Park MN +5 more
europepmc +4 more sources
Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction [PDF]
Background A random multiple-regression model that simultaneously fit all allele substitution effects for additive markers or haplotypes as uncorrelated random effects was proposed for Best Linear Unbiased Prediction, using whole-genome data.
Hao Cheng +2 more
doaj +3 more sources
Improving the accuracy of genomic evaluation for linear body measurement traits using single-step genomic best linear unbiased prediction in Hanwoo beef cattle. [PDF]
Background Recently, there has been a growing interest in the genetic improvement of body measurement traits in farm animals. They are widely used as predictors of performance, longevity, and production traits, and it is worthwhile to investigate the ...
Naserkheil M, Lee DH, Mehrban H.
europepmc +4 more sources
Multitrait genome-wide association best linear unbiased prediction of genetic values [PDF]
Background The GWABLUP (Genome-Wide Association based Best Linear Unbiased Prediction) approach used GWA analysis results to differentially weigh the SNPs in genomic prediction, and was found to improve the reliabilities of genomic predictions.
Theo Meuwissen, Vinzent Boerner
doaj +4 more sources
Enhancing Genomic Prediction Accuracy with a Single-Step Genomic Best Linear Unbiased Prediction Model Integrating Genome-Wide Association Study Results [PDF]
Genomic selection (GS) is a genetic breeding method that uses genome-wide marker information to improve the accuracy of the prediction of complex traits.
Zhixu Pang +10 more
doaj +4 more sources

