ArticleGenetics2016
An Equation to Predict the Accuracy of Genomic Values by Combining Data from Multiple Traits, Populations, or Environments.
Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Genetic dissection of southern corn leaf blight resistance in sweet corn through genome-wide association studies and genomic selection.The plant genome · 2026Article
- Dissecting the Predictive Accuracy of Polygenic Indexes for Behavioral Phenotypes Across Genetic Ancestries.bioRxiv : the preprint server for biology · 2026Article
- Genomic prediction using a cost-effective mid-density SNP platform in spring wheat.Frontiers in plant science · 2026Article
- Genomic prediction in a small barley population can benefit from training on related populations.G3 (Bethesda, Md.) · 2025Article
- Dissecting the Predictive Accuracy of Polygenic Indexes for Behavioral Phenotypes Across Genetic Ancestries.Research square · 2025Article
- Harnessing historical genebank data to accelerate pea breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genomic Prediction in a Self-Fertilized Progenies ofPlants (Basel, Switzerland) · 2025Article
- Accuracy of genomic prediction using multiple Atlantic salmon populations.Genetics, selection, evolution : GSE · 2024Article
- Expected values for the accuracy of predicted breeding values accounting for genetic differences between reference and target populations.Genetics, selection, evolution : GSE · 2024Article
- Combining genetic resources and elite material populations to improve the accuracy of genomic prediction in apple.G3 (Bethesda, Md.) · 2022Article
- Predictions of the accuracy of genomic prediction: connecting RGenetics, selection, evolution : GSE · 2022Article
- Eating Time as a Genetic Indicator of Methane Emissions and Feed Efficiency in Australian Maternal Composite Sheep.Frontiers in genetics · 2022Article
- Genomic Prediction of Complex Traits, Principles, Overview of Factors Affecting the Reliability of Genomic Prediction, and Algebra of the Reliability.Methods in molecular biology (Clifton, N.J.) · 2022Article
- The utility of genomic prediction models in evolutionary genetics.Proceedings. Biological sciences · 2021Article
- Predicting the accuracy of genomic predictions.Genetics, selection, evolution : GSE · 2021Article
- Trends in genetic diversity and the effect of inbreeding in American Angus cattle under genomic selection.Genetics, selection, evolution : GSE · 2021Article
- Factors affecting accuracy of estimated effective number of chromosome segments for numerically small breeds.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2021Article
- Multi-Trait Genomic Risk Stratification for Type 2 Diabetes.Frontiers in medicine · 2021Article
- Optimizing genomic reference populations to improve crossbred performance.Genetics, selection, evolution : GSE · 2020Article
- Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations.Nature communications · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predicting the accuracy of estimated genomic values using genome-wide marker information is an important step in designing training populations. Currently, different deterministic equations are available to predict accuracy within populations, but not for multipopulation scenarios where data from multiple breeds, lines or environments are combined. Therefore, our objective was to develop and validate a deterministic equation to predict the accuracy of genomic values when different populations are combined in one training population. The input parameters of the derived prediction equation are the number of individuals and the heritability from each of the populations in the training population; the genetic correlations between the populations, i.e., the correlation between allele substitution effects of quantitative trait loci; the effective number of chromosome segments across predicted and training populations; and the proportion of the genetic variance in the predicted population captured by the markers in each of the training populations. Validation was performed based on real genotype information of 1033 Holstein-Friesian cows that were divided into three different populations by combining half-sib families in the same population. Phenotypes were simulated for multiple scenarios, differing in heritability within populations and in genetic correlations between the populations. Results showed that the derived equation can accurately predict the accuracy of estimating genomic values for different scenarios of multipopulation genomic prediction. Therefore, the derived equation can be used to investigate the potential accuracy of different multipopulation genomic prediction scenarios and to decide on the most optimal design of training populations.
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