ArticleProceedings. Biological sciences2013
The evolution of genetic architectures underlying quantitative traits.
Article in Proceedings. Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
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- Remodeling Ancestral Phenotypic Plasticity in Local Adaptation: A New Framework to Explore the Role of Genetic Compensation in the Evolution of Homeostasis.Integrative and comparative biology · 2018Review
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- Identification of genome-wide SNP-SNP interactions associated with important traits in chicken.BMC genomics · 2017Article
- Approaches to Macroevolution: 1. General Concepts and Origin of Variation.Evolutionary biology · 2017Article
- Detecting polygenic selection in marine populations by combining population genomics and quantitative genetics approaches.Current zoology · 2016Article
- Genome-wide association mapping in a wild avian population identifies a link between genetic and phenotypic variation in a life-history trait.Proceedings. Biological sciences · 2015Article
- The extent and genetic basis of phenotypic divergence in life history traits in Mimulus guttatus.Molecular ecology · 2015Article
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- Genotype to phenotype maps: multiple input abiotic signals combine to produce growth effects via attenuating signaling interactions in maize.G3 (Bethesda, Md.) · 2013Article
- Epistatic effects on abdominal fat content in chickens: results from a genome-wide SNP-SNP interaction analysis.PloS one · 2013Article
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2 authors.
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Abstract
In the classic view introduced by R. A. Fisher, a quantitative trait is encoded by many loci with small, additive effects. Recent advances in quantitative trait loci mapping have begun to elucidate the genetic architectures underlying vast numbers of phenotypes across diverse taxa, producing observations that sometimes contrast with Fisher's blueprint. Despite these considerable empirical efforts to map the genetic determinants of traits, it remains poorly understood how the genetic architecture of a trait should evolve, or how it depends on the selection pressures on the trait. Here, we develop a simple, population-genetic model for the evolution of genetic architectures. Our model predicts that traits under moderate selection should be encoded by many loci with highly variable effects, whereas traits under either weak or strong selection should be encoded by relatively few loci. We compare these theoretical predictions with qualitative trends in the genetics of human traits, and with systematic data on the genetics of gene expression levels in yeast. Our analysis provides an evolutionary explanation for broad empirical patterns in the genetic basis for traits, and it introduces a single framework that unifies the diversity of observed genetic architectures, ranging from Mendelian to Fisherian.
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