ArticleGenetics2008
Performance of genomic selection in mice.
Article in Genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 210 papers.
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Who cites it
210 citing papers in PubMed.
- Genetic parameters via predictivity in large populations under strong genomic selection.Genetics, selection, evolution : GSE · 2026Article
- Water stress tolerance, genomic selection and identification of genomic regions in a MAGIC population of eggplant.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Proximal regularization of deep residual neural networks applied to high-dimensional genomic data.Briefings in bioinformatics · 2026Article
- Breeding for climate adaptation: genetic variation and genomic selection for drought response in Scots pine.BMC genomics · 2026Article
- Genomic selection accuracy and bias using imputed genotypes on growth, welfare and fitness traits in two Pekin duck lines.BMC genomics · 2026Article
- Optimizing genomic predictions in maize using a diversity panel and a multiparental population.The plant genome · 2026Article
- Genomic Prediction Ability for Novel Profitability Traits Using Different Models in Nelore Cattle.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Using predictivity to estimate heritabilities and genetic correlations over time for growth traits in a large genotyped angus cattle population.Journal of animal science · 2026Article
- Weighted Single-Step Genome-Wide Association Study Identifies Candidate Genes for Carcass Traits and Primal Cut Yields in Hanwoo Cattle.Animals : an open access journal from MDPI · 2026Article
- Evaluation of genomic selection to improve survival of eastern oysters infected withFrontiers in genetics · 2026Article
- Genome-wide association study and genomic selection for growth-related traits in Eastern oyster (Crassostrea virginica).BMC genomics · 2025Article
- Semi-parametric validation of genomic predictions and polygenic risk scores with the Blupf90 software suite.G3 (Bethesda, Md.) · 2025Article
- Optimization and application of genome prediction model in rapeseed: flowering time, yield components, and oil content as examples.Horticulture research · 2025Article
- Multi-task genomic prediction using gated residual variable selection neural networks.BMC bioinformatics · 2025Article
- Genomic Prediction and Heritability Estimation for Daughter Pregnancy Rate in U.S. Holstein Cows Using SNP, Epistasis and Haplotype Effects.International journal of molecular sciences · 2025Article
- Estimation of heritabilities and genetic correlations by time slices using predictivity in large genomic models.Genetics · 2025Article
- Genomic prediction and genetic parameter estimation for unsaturated and saturated fatty acids in Canadian dairy cattle.Scientific reports · 2025Article
- Article
- Erosion of estimated genomic breeding values with generations is due to long distance associations between markers and QTL.Genetics, selection, evolution : GSE · 2025Article
- Genome-Wide Association Study and Genomic Predictions for Hydroxycinnamate Concentrations in Maize Stover.Journal of agricultural and food chemistry · 2025Article
150 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Selection plans in plant and animal breeding are driven by genetic evaluation. Recent developments suggest using massive genetic marker information, known as "genomic selection." There is little evidence of its performance, though. We empirically compared three strategies for selection: (1) use of pedigree and phenotypic information, (2) use of genomewide markers and phenotypic information, and (3) the combination of both. We analyzed four traits from a heterogeneous mouse population (http://gscan.well.ox.ac.uk/), including 1884 individuals and 10,946 SNP markers. We used linear mixed models, using extensions of association analysis. Cross-validation techniques were used, providing assumption-free estimates of predictive ability. Sampling of validation and training data sets was carried out across and within families, which allows comparing across- and within-family information. Use of genomewide genetic markers increased predictive ability up to 0.22 across families and up to 0.03 within families. The latter is not statistically significant. These values are roughly comparable to increases of up to 0.57 (across family) and 0.14 (within family) in accuracy of prediction of genetic value. In this data set, within-family information was more accurate than across-family information, and populational linkage disequilibrium was not a completely accurate source of information for genetic evaluation. This fact questions some applications of genomic selection.
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