The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
EVOLUTIONARY QUANTITATIVE GENETICS: HOW LITTLE DO WE KNOW?
Abstract
Our emphasis is on the genetic basis of quantitative variation, and its effects on the evolution of quantitative. Our review indicates that few experiments approach basic issues such as the number of loci that contribute to within-population variation, the rate of polygenic mutation, the extent of pleiotropy, the mechanisms that maintain additive variance, and the reasons for reduced fitness of extreme phenotypes
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“Since disease is deleterious to fitness, variants that promote disease should be selected against, and hence disease-promoting variants should not be common3,26,27.”
From Rare and common variants: twenty arguments (2012) · cites this paper as [27]
Citations
Cites
Introduction to Quantitative Genetics.
Edwards, A. W. F., & Falconer, D. S. (1982) · Biometrics · doi:10.2307/2529912 · Cited by 21,447
The measurement of selection on correlated characters
Lande, R., & Arnold, S. J. (1983) · Evolution · doi:10.1111/j.1558-5646.1983.tb00236.x · Cited by 5,437
Pleiotropy, natural selection, and the evolution of senescence.
Williams, G. C. (1957) · Evolution · doi:10.1111/j.1558-5646.1957.tb02911.x · Cited by 4,279
THE GENETIC BASIS OF EVOLUTIONARY CHANGE
Felsenstein, J., & Lewontin, R. C. (1975) · Evolution · doi:10.1111/j.1558-5646.1975.tb00851.x · Cited by 3,894
The Genetics and Biology of Drosophila
(1978) · Food and Cosmetics Toxicology · doi:10.1016/s0015-6264(78)80200-4 · Cited by 3,776
Barton, N. H., & Hewitt, G. M. (1985) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.16.110185.000553 · Cited by 2,882
Self-citationNatural selection and random genetic drift in phenotypic evolution
Lande, R. (1976) · Evolution · doi:10.1111/j.1558-5646.1976.tb00911.x · Cited by 1,828
ON THE MEASUREMENT OF NATURAL AND SEXUAL SELECTION: THEORY
Arnold, S. J., & Wade, M. J. (1984) · Evolution · doi:10.1111/j.1558-5646.1984.tb00344.x · Cited by 1,263
Female choice selects for extreme tail length in a widowbird
Andersson, M. (1982) · Nature · doi:10.1038/299818a0 · Cited by 976
A COMPARISON OF GENETIC AND PHENOTYPIC CORRELATIONS
Cheverud, J. M. (1988) · Evolution · doi:10.1111/j.1558-5646.1988.tb02514.x · Cited by 839
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“Hence, a genetic correlation with a highly polygenic architecture may be more stable, corroborating previous expectations(Barton & Turelli, 1987, 1989; Lande, 1979).”
BackgroundResultInfluentialSiahsarvie, R. (2012) · theses.fr (ABES) · doi:10.70675/dbdf4063z200cz4bd2za4faz5f127cebc625 · Cited by 2
Can a Hybrid Line Break a Selection Limit on Behavioral Evolution in Mice?
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“…selection relentlessly eroding this variation by fixing beneficial variants and removing deleterious ones (Dempster 1955; Lewontin 1974; Lande 1975; Barton and Turelli 1989; Houle 1992; Lynch and Walsh 1998; Charlesworth and Hughes 2000; Barton and Keightley 2002; Turelli and Barton 2004; Johnson…”
‘The Ecology of Adaptive Radiation’ revisited: a 25-year reflection
Cerca, J., Ortíz-Barrientos, D., Ravinet, M., Pontarp, M., & Lucek, K. (2026) · Evolutionary Journal of the Linnean Society · doi:10.1093/evolinnean/kzag006 · Cited by 1
The Diversity of Quantitative Trait Loci in Yeast Sporulation Efficiency
Lorenz, K. (2013) · Open Scholarship Institutional Repository (Washington University in St. Louis) · doi:10.7936/k74b2zbr · Cited by 1
de Azevedo, S., Pucciarelli, H. M., Lanata, J. L., & González‐José, R. (2012) · Revista Argentina de Antropología Biológica · Cited by 1
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Hartl, D. L., & Powell, J. R. (1998) · Evolution · doi:10.1111/j.1558-5646.1998.tb01663.x · Cited by 1
Diniz‐Filho, J. A. F., Santos, W., & Jardim, L. (2018) · Oecologia Australis · doi:10.4257/oeco.2018.2202.09 · Cited by 1
“The questions pointed out above can be at least in part answered using several evolutionary quantitative genetics tools, based on models originally developed in the 1970-1980’s (see Barton & Turelli 1989, Lynch & Walsh 1998, Manly 1985).”
BackgroundDevelopmental Evolutionary Biology (Devo-Evo)
Pavličev, M. (2020) · Springer eBooks · doi:10.1007/978-3-319-33038-9_104-1 · Cited by 1
Inter-Varietal Hybridization, Self-Pollination and Heritability of Cut Freesia
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“The variances and phenotypic, genetic and environmental variability coefficients were calculated based on Barton and Turelli (1989) and Santos et al. (2011).”
MethodTesting hypotheses regarding the genetics of adaptation
Phillips, P. C. (2005) · Springer eBooks · doi:10.1007/1-4020-3836-4_3 · Cited by 1
Hutchings, J. A. (2021) · doi:10.1093/oso/9780198839873.003.0001 · Cited by 1
Hutchings, J. A. (2021) · doi:10.1093/oso/9780198839873.003.0005 · Cited by 1
Dissecting Fluctuating Selection: A Unified Population and Quantitative Genetics Framework
Tuyishimire, E., Burke, M. K., & King, E. G. (2026) · Genome Biology and Evolution · doi:10.1093/gbe/evag225 · Cited by 1
“As would be expected from quantitative genetic theory, the amplitude of these oscillations was most dramatic when the shift in optima was large, season length was long, and heritability was high (Barton and Turelli 1989; Hill and Mackay 2004; Bijma 2011).”
Limeri, L. B. (2017) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 1
Loblolly Pine Genetics Structure Its Mycorrhizal Community
Piculell, B. J. (2016) · Cited by 1
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“no epistatic effects) are accurate (Barton and Turelli 1989; Roff 2003).”
BackgroundPopulation cycles can maintain foraging polymorphism
Fryxell, J. M., Crease, T. J., & Illius, A. W. (1999) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1999.0775 · Cited by 1
“It is currently less clear, however, whether temporal variability in closed, panmictic populations could also maintain polymorphic traits (Hedrick 1986; Barton & Turelli 1989).”
BackgroundA pleiotropic model of phenotypic evolution
Tanaka, Y. (1998) · Contemporary issues in genetics and evolution · doi:10.1007/978-94-011-5210-5_40 · Cited by 1
Beauty beacon: correlated strategies for the Fisher runaway processPreprint
Ryabko, D., Vaca, A., & Pazoca, P. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.26.559589 · Cited by 1
“Despite a variety of mechanisms that have been proposed to address it (e.g., Radwan, 2008), this problem still appears un-resolved (Barton and Turelli, 1989; Barton and Keightley, 2002; Kaufmann et al., 2023).”
BackgroundQuantitative trait loci: a new approach to old evolutionary problems
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Bell, A. M., Davis, J. M., Greene, C. M., Lema, S. C., Watters, J. V., & Yang, L. (2001) · Evolution · doi:10.1554/0014-3820(2001)055[1715:eqiaer]2.0.co;2
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“Progeny number should not be identi®ed with ®tness because traits associated with ®tness tend to have low heritability and be negatively correlated with other traits associated with ®tness (Barton & Turelli, 1989).”
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Robinson, M. R. (2008) · ERA
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Robinson, A. C. (2016) · UTC Scholar (University of Tennessee at Chattanooga)
Takahata, N. (1993) · The Japanese Journal of Genetics · doi:10.1266/jjg.68.353
A Systems Genetics Approach to the Dissection of Complex Traits in Drosophila melanogaster.
Ayroles, J. F. (2010) · NCSU Libraries Repository (North Carolina State University Libraries)
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Henkanaththegedara, S. M., & Stockwell, C. A. (2011)
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Fields, P. D. (2013) · doi:10.18130/v3551z
Modes of rapid polygenic adaptationPreprint
Jain, K., & Stephan, W. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1810.07983
“Such a roadmap has been developed by several workers including Bulmer (1972), Barton and Turelli (1989), and Bürger (2000), and we follow this direction here to understand the rapid evolutionary dynamics of a single quantitative trait under stabilizing selection (Jain and Stephan 2015, 2017).”
BackgroundInfluentialMelo, D. (2019) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.41.2019.tde-04062019-130253
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Curtin, S. J., Tiffin, P., & Young, N. D. (2019) · The Model Legume Medicago truncatula · doi:10.1002/9781119409144.ch110
Notivol, E. (2020) · UPM Digital Archive (Technical University of Madrid) · doi:10.20868/upm.thesis.67375
Hutchings, J. A. (2021) · doi:10.1093/oso/9780198839873.003.0009
Hutchings, J. A. (2021) · doi:10.1093/oso/9780198839873.003.0007
Hutchings, J. A. (2021) · doi:10.1093/oso/9780198839873.003.0004
Hutchings, J. A. (2021) · doi:10.1093/oso/9780198839873.003.0010
Valenza-Troubat, N. (2021) · Open Access Victoria University of Wellington | Te Herenga Waka (Figshare) · doi:10.26686/wgtn.16698571
Genetic Variation and Phenotypic Plasticity
Hutchings, J. A. (2021) · doi:10.1093/oso/9780198839873.003.0003
Hutchings, J. A. (2021) · doi:10.1093/oso/9780198839873.003.0008
Alaca, B. (2024) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-10418
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Cirne, D., & Campos, P. R. A. (2024) · Applied Mathematics and Computation · doi:10.1016/j.amc.2024.128781
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Selenius, E., Pasqual, C. D., Hänninen, M., Kartano, L., Winters, S., & Mappes, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.20.608604
Lipánová, V., Griepentrog, M., Reutimann, O., Kussmann, J., Luqman, H., Döetterl, S., Fior, S., & Widmer, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.20.649708
Week, B. (2026) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2026.112428
Assis, A. P. A., Costa, B. M. A., Rossoni, D. M., Melo, D., & Marroig, G. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-15750-9.00124-5
Barker, B. M. (1999) · The Mathematics Enthusiast
Sikkink, K. L. (2014) · Scholars' Bank (University of Oregon)
Bass, A. J., Bian, S., Wingo, A. P., Wingo, T. S., Cutler, D. J., & Epstein, M. P. (2024) · Figshare · doi:10.6084/m9.figshare.26711957
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“Male-biased, female-biased, and unbiased genes were classified as genes with a log2 ratio greater than 1, smaller than − 1, and between − 1 and 1, respectively.”
- Self-citation
Metadata
- Authors
- Barton, N. H., & Turelli, M.
- Affiliations
- University College London (GB)
- Venue
- Annual Review of Genetics
- Publisher
- Annual Reviews
- Published
- 1989-12
- Volume
- 23
- Issue
- 1
- Pages
- 337-370
- ISSN
- 0066-4197 (ISSN-L)
- 1545-2948
- OpenAlex
- W2153359028
- Cited by
- 686
- References
- 93
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 12 · 2023: 12 · 2022: 9 · 2021: 28 · 2020: 9 · 2019: 9 · 2018: 17 · 2017: 18 · 2016: 19 · 2015: 13 · 2014: 14 · 2013: 22 · 2012: 18
- FWCI
- 7.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Genetics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
- Keywords
- quantitative genetics, polygenic mutations, pleiotropy, additive genetic variance, number of loci, extreme phenotypes
- MeSH terms
- Animals, Biological Evolution, Genetics, Mutation, Phenotype, Selection, Genetic
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