ArticleGenetics2018
A Simple Test Identifies Selection on Complex Traits.
Article in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Methods to detect selection history in a population under ongoing directional selection.Genetics · 2026Article
- Plasticity of source-sink dynamics contributes to wheat yield stability.Nature communications · 2026Article
- Going New Places: Successful Adaptation and Genomic Integrity of Grain Amaranth in India.Evolutionary applications · 2025Article
- Changes in allele frequencies and genetic architecture due to selection in two pig populations.Genetics, selection, evolution : GSE · 2024Article
- Uncovering the architecture of selection in twoEvolutionary applications · 2024Article
- Ghat: an R package for identifying adaptive polygenic traits.G3 (Bethesda, Md.) · 2023Article
- Insights into the architecture of human-induced polygenic selection in Duroc pigs.Journal of animal science and biotechnology · 2022Article
- Polygenic adaptation: a unifying framework to understand positive selection.Nature reviews. Genetics · 2020Review
- Unique genetic signatures of local adaptation over space and time for diapause, an ecologically relevant complex trait, in Drosophila melanogaster.PLoS genetics · 2020Article
- Article
- Detecting Adaptive Differentiation in Structured Populations with Genomic Data and Common Gardens.Genetics · 2019Article
- Integrating Selection Mapping With Genetic Mapping and Functional Genomics.Frontiers in genetics · 2018Review
- Genome-Wide Association Study in European Beech (Fagus sylvatica L.) for Drought Stress Related Traits.Physiologia plantarumArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Important traits in agricultural, natural, and human populations are increasingly being shown to be under the control of many genes that individually contribute only a small proportion of genetic variation. However, the majority of modern tools in quantitative and population genetics, including genome-wide association studies and selection-mapping protocols, are designed to identify individual genes with large effects. We have developed an approach to identify traits that have been under selection and are controlled by large numbers of loci. In contrast to existing methods, our technique uses additive-effects estimates from all available markers, and relates these estimates to allele-frequency change over time. Using this information, we generate a composite statistic, denoted [Formula: see text] which can be used to test for significant evidence of selection on a trait. Our test requires pre- and postselection genotypic data but only a single time point with phenotypic information. Simulations demonstrate that [Formula: see text] is powerful for identifying selection, particularly in situations where the trait being tested is controlled by many genes, which is precisely the scenario where classical approaches for selection mapping are least powerful. We apply this test to breeding populations of maize and chickens, where we demonstrate the successful identification of selection on traits that are documented to have been under selection.
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