ArticleGenetics2010
The impact of genetic architecture on genome-wide evaluation methods.
Article in Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 383 papers.
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Who cites it
383 citing papers in PubMed.
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- Impact of QTL number, heritability and reference population size on the benefit of machine learning models over GBLUP in genomic prediction.Genetics, selection, evolution : GSE · 2026Article
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- Genomic insights into the admixture and diversity of Kerala crossbred cattle.Scientific reports · 2026Article
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- A comprehensive genomic characterization of Nellore cattle.BMC genomics · 2026Article
- Integrating genomic predictions into an applied Central European wheat breeding program.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genomic prediction in insects: a case study on wing morphology traits in the jewel wasp Nasonia vitripennis.G3 (Bethesda, Md.) · 2026Article
- First High-Density Linkage Map and Quantitative Trait Loci for Disease Resistance in Striped CatfishInternational journal of molecular sciences · 2026Article
- Indirect Genomic Predictions for Indicine Cattle Breeds With SNP Effects From a Multi-Breed Genomic Evaluation.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Genomic prediction for stem rust resistance in the southern United States elite oat (Frontiers in plant science · 2026Article
- Interfacing mechanistic and breeding scheme simulation to predict selection response on lactation efficiency in dairy cows under different nutritional environments.Genetics, selection, evolution : GSE · 2025Article
- Genetic parameters estimation and optimization of genomic selection in mud crab (Scylla paramamosain): a case study for growth-related traits.BMC genomics · 2025Article
- Enhancing genomic predictive ability of yield and yield-related traits in spring wheat by integrating major plant adaptation genes as a fixed effect.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Review
323 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
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Abstract
The rapid increase in high-throughput single-nucleotide polymorphism data has led to a great interest in applying genome-wide evaluation methods to identify an individual's genetic merit. Genome-wide evaluation combines statistical methods with genomic data to predict genetic values for complex traits. Considerable uncertainty currently exists in determining which genome-wide evaluation method is the most appropriate. We hypothesize that genome-wide methods deal differently with the genetic architecture of quantitative traits and genomes. A genomic linear method (GBLUP), and a genomic nonlinear Bayesian variable selection method (BayesB) are compared using stochastic simulation across three effective population sizes and a wide range of numbers of quantitative trait loci (N(QTL)). GBLUP had a constant accuracy, for a given heritability and sample size, regardless of N(QTL). BayesB had a higher accuracy than GBLUP when N(QTL) was low, but this advantage diminished as N(QTL) increased and when N(QTL) became large, GBLUP slightly outperformed BayesB. In addition, deterministic equations are extended to predict the accuracy of both methods and to estimate the number of independent chromosome segments (M(e)) and N(QTL). The predictions of accuracy and estimates of M(e) and N(QTL) were generally in good agreement with results from simulated data. We conclude that the relative accuracy of GBLUP and BayesB for a given number of records and heritability are highly dependent on M(e,) which is a property of the target genome, as well as the architecture of the trait (N(QTL)).
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