ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2010
Understanding and using quantitative genetic variation.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers.
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Who cites it
128 citing papers in PubMed.
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- The polygenic, omnigenic and stratagenic models of complex disease risk.Nature genetics · 2026Review
- Harnessing genetic variation in watermelon (Citrullus lanatus) and trait dissection in segregating populations through multivariate approaches.BMC plant biology · 2026Article
- Genomic approaches to build de novo elite breeding gene pools from locally adapted landraces.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- RNA variation as the driver of genomic efficiency and phenotypic complexity.International journal of biological sciences · 2026Review
- Plant architecture genes affect seed composition and seed weight in soybeans grown in the Midsouth USA.Frontiers in plant science · 2026Article
- Estimating Linkage Disequilibrium and Effective Population Size Across Generations in Holstein Cattle.Veterinary medicine and science · 2025Article
- Measuring natural selection on the transcriptome.The New phytologist · 2025Review
- Improved bivariate analysis of canola survivability against blackleg disease.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Improvement in genetic evaluation of quantitative traits in sheep by enriching genetic model with dominance effects.Scientific reports · 2025Article
- Candidate Genes, Markers, Signatures of Selection, and Quantitative Trait Loci (QTLs) and Their Association with Economic Traits in Livestock: Genomic Insights and Selection.International journal of molecular sciences · 2025Review
- Article
68 more citing papers are in PubMed but not listed here.
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1 author.
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Abstract
Quantitative genetics, or the genetics of complex traits, is the study of those characters which are not affected by the action of just a few major genes. Its basis is in statistical models and methodology, albeit based on many strong assumptions. While these are formally unrealistic, methods work. Analyses using dense molecular markers are greatly increasing information about the architecture of these traits, but while some genes of large effect are found, even many dozens of genes do not explain all the variation. Hence, new methods of prediction of merit in breeding programmes are again based on essentially numerical methods, but incorporating genomic information. Long-term selection responses are revealed in laboratory selection experiments, and prospects for continued genetic improvement are high. There is extensive genetic variation in natural populations, but better estimates of covariances among multiple traits and their relation to fitness are needed. Methods based on summary statistics and predictions rather than at the individual gene level seem likely to prevail for some time yet.
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