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The Effect of Selection on Genetic Variability
Abstract
If a metric character is determined by an effectively infinite number of loci, selection cannot cause any permanent change in the genetic variance but will cause a temporary change which is rapidly reversed when selection ceases. This change is due entirely to the correlation between pairs of loci which is induced by selection; the correlation is negative, leading to a reduction in the genetic variance under stabilizing or directional selection, and is positive, leading to an increase in the variance under disruptive selection. When selection ceases, the correlation rapidly disappears as joint equilibrium at pairs of loci is reestablished, and the variance returns to its original value. An expression is derived for the predicted amount of change in the genetic variance due to disequilibrium in the absence of linkage. The change is likely to be small under selection intensities found under natural conditions, but it may be appreciable under intense artificial selection. This limiting result shows that the magnitude of any permanent change in the variance due to selection must decrease as the number of loci involved increases and that, when the number of loci is large, it is likely to be much less than the temporary change due to disequilibrium.
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“It is therefore plausible that the deflation of population effects we observed for 9 phenotypes is due in part to ascertainment bias, although natural selection (specifically, directional or stabilizing selection) may also contribute through negative LD induced between sign-concordant causal alleles, consistent with the Bulmer effect28.”
From Family-GWAS reveals effects of environment and mating on genetic associations (2024) · cites this paper as [28]
In the citing paper
“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 [26]
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Cites
XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.
Fisher, R. A. (1919) · Transactions of the Royal Society of Edinburgh · doi:10.1017/s0080456800012163 · Cited by 4,387
EFFECTS OF LINKAGE ON THE COVARIANCES BETWEEN RELATIVES
Cockerham, C. C. (1956) · Genetics · doi:10.1093/genetics/41.1.138 · Cited by 67
VARIATIONS IN THE WEIGHTS OF HATCHED AND UNHATCHED DUCKS' EGGS
RENDEL, J. M. (1943) · Biometrika · doi:10.1093/biomet/33.1.48 · Cited by 29
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Campo, J. L., & Turrado, H. (1997) · Journal of Animal Breeding and Genetics · doi:10.1111/j.1439-0388.1997.tb00498.x · Cited by 2
Kerr, R. J., Graser, H. U., Kinghorn, B. P., & Johnston, D. J. (1994) · Journal of Animal Breeding and Genetics · doi:10.1111/j.1439-0388.1994.tb00444.x · Cited by 2
Phocas, F., & Colleau, J. J. J. J. (1996) · Theoretical and Applied Genetics · doi:10.1007/bf00225759 · Cited by 2
The effect of selection on genetic parameter estimates
Dyk, R. V., Neser, F. W. C., & Kanfer, F. (2001) · South African Journal of Animal Science · doi:10.4314/sajas.v31i2.3836 · Cited by 2
Tourjee, K. R., Harding, J., & Byrne, T. G. (1995) · Heredity · doi:10.1038/hdy.1995.137 · Cited by 2
The genetics of body weight and feed efficiency in broiler chickens
Mebratie, W. (2019) · doi:10.18174/472486 · Cited by 2
How The Mammalian Sleep Was BornPreprint
Rial, R. V., Cañellas, F., Gamundí, A., Akaârir, M., Nicolau, M. C., Martin-Reina, A., Díaz, J. Á. R., & Barceló, P. (2020) · Preprints.org · doi:10.20944/preprints201911.0387.v2 · Cited by 1
Growth curve and body weight in Göttingen minipigs - a phenotypic and genetic study
Köhn, F. (2007) · doi:10.53846/goediss-1870 · Cited by 2
On the estimation of genetic parameters via variance components
Dempfle, L., Hagger, C., & Schneeberger, M. (1983) · Génétique Sélection Évolution · doi:10.1051/gse:19830306 · Cited by 2
Combining use of embryo sexing and cloning within mixed MOETs for selection on dairy cattle
Colleau, J. (1992) · Genetics Selection Evolution · doi:10.1051/gse:19920405 · Cited by 2
Polygenic outcomes of sexually antagonistic selectionPreprint
Muralidhar, P., & Coop, G. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.02.530911 · Cited by 2
Intra-specific diversity and adaptation modify regime shifts dynamics under environmental change
Imbert, T., Poggiale, J., & Gauduchon, M. (2024) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2024342 · Cited by 1
Trujano‐Chavez, M. Z., Hidalgo, J., Garcia, A., Retallick, K., Lourenco, D. A. L., & Misztal, I. (2026) · Journal of Animal Science · doi:10.1093/jas/skag078 · Cited by 1
Zhao, Z., Lyu, S., Hou, Y., Liu, T., Qu, T., Zilin, C., Xu, Y., Du, G., & Wang, X. (2026) · European Journal of Forest Research · doi:10.1007/s10342-026-01903-8 · Cited by 1
Schrauf, M. F., Vandenplas, J., Mulder, H. A., & Wientjes, Y. C. J. (2026) · Genetics Selection Evolution · doi:10.1186/s12711-026-01052-x · Cited by 1
Fernández-Gónzalez, J., Trabal, J. C., Haquin, B., Allard, A., Combes, E., Bernard, K., & y Sánchez, J. I. (2026) · Theoretical and Applied Genetics · doi:10.1007/s00122-026-05285-8 · Cited by 1
Árnason, Þ. (2013) · Springer eBooks · doi:10.1007/978-1-4614-5797-8_340 · Cited by 1
Mashiloane, M. L., Nephawe, K. A., Maiwashe, A., Norris, D. O., & Ng’ambi, J. W. (2009) · Tropical Animal Health and Production · doi:10.1007/s11250-009-9371-2 · Cited by 1
Hemmatabadi, R. N., Seidavi, A., & Gharahveysi, S. (2011) · AFRICAN JOURNAL OF BIOTECHNOLOGY · Cited by 1
The revolution in genetic improvement
Garrick, D. J. (2010) · Cited by 1
Miyake, T., Moriya, K., & Sasaki, Y. (1995) · Nihon Chikusan Gakkaiho · doi:10.2508/chikusan.66.253 · Cited by 1
Past, present, and future of genetic aquaculture
Bentsen, H. B. (1997) · Cited by 1
Lopes, J. S., Rorato, P. R. N., Breda, F. C., de Freitas, M. S., Farah, M. M., Carreño, L. O. D., & de Oliveira, M. M. (2019) · Revista Brasileira de Zootecnia · doi:10.1590/rbz4820180067 · Cited by 1
Karami, M., Fayazi, J., Hasanpur, K., Javanmard, A., Varnasari, H., & kheshavarzi, J. (2020) · Research on Animal Production · doi:10.29252/rap.11.27.101 · Cited by 1
Changes in genetic correlations by index selection
Itoh, Y. (1991) · Génétique Sélection Évolution · doi:10.1051/gse:19910404 · Cited by 1
Id‐Lahoucine, S., Casellas, J., Miglior, F., Schenkel, F. S., & Cánovas, Á. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1132796 · Cited by 1
Dekens, L. (2024) · Theoretical Population Biology · doi:10.1016/j.tpb.2024.09.001 · Cited by 1
Genomics in Hardwood Tree Improvement: Applications of a Growing Resource
Alexander, L. W., & Lawson, S. S. (2014) · CRC Press eBooks · doi:10.1201/b17573-4 · Cited by 1
Sharifi, R. S., AZIZYAN, S., Boustan, A., Seıfdavatı, J., & Mojtahedin, A. (2017) · Kafkas Universitesi Veteriner Fakultesi Dergisi · doi:10.9775/kvfd.2017.18618 · Cited by 1
Togashi, K., Adachi, K., Kurogi, K., Watanabe, T., Nurimoto, M., Toda, S., Hirohama, K., & Takahashi, T. (2020) · Livestock Science · doi:10.1016/j.livsci.2020.104139 · Cited by 1
Concept and Theory of Selection
Xu, S. (2022) · Springer eBooks · doi:10.1007/978-3-030-83940-6_14 · Cited by 1
Álvarez, J. F., Jurado, J. M. L., González, F. J. N., Pastrana, C. I., & Bermejo, J. V. D. (2021) · Archivos de Zootecnia · doi:10.21071/az.v70i271.5504 · Cited by 1
Genetic parameters of beef traits of Limousin and Charolais progeny-tested AI sires
Fouilloux, M.-N. M.-N., Renand, G., Gaillard, J., & Ménissier, F. (1999) · Genetics Selection Evolution · doi:10.1051/gse:19990504 · Cited by 1
Implementation of genomic selection in UK beef and sheep breeding
Todd, D. L. (2013) · ERA · Cited by 1
Breeding for longevity in Italian Chianina cattle
Forabosco, F. (2005) · doi:10.18174/30555 · Cited by 1
Kemp, R. A., Kennedy, B. W., & Wilton, J. W. (1986) · Theoretical and Applied Genetics · doi:10.1007/bf00261458 · Cited by 1
Étude expérimentale de la variabilité de la réponse à la sélection chez Drosophila melanogaster
López-Fanjul, C., & Domínguez, M. (1982) · Genetics Selection Evolution · doi:10.1186/1297-9686-14-2-213 · Cited by 1
Orozco, F. (1975) · Genetics Selection Evolution · doi:10.1186/1297-9686-7-2-205 · Cited by 1
An experimental check on an index combining individual and family measurements
Avalos, E., & Hill, W. G. (1981) · Animal Science · doi:10.1017/s0003356100025125 · Cited by 1
Estimation of maternal effects on birth and weaning weight of Hereford cattle
Cantet, R. J. C. (1984) · Montana State University ScholarWorks (Montana State University) · Cited by 1
Langzeitselektion bei asymmetrischer Merkmalsverteilung
Mielenz, N., & Schüler, L. (2000) · Archives animal breeding/Archiv für Tierzucht · doi:10.5194/aab-43-421-2000 · Cited by 1
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Dooren, T. J. M. V., Allen, C. E., & Beldade, P. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/348896 · Cited by 1
Natural selection and the advantage of recombinationPreprint
Gerrish, P. J., Galeota-Sprung, B., Cordero, F., Sniegowski, P., Colato, A., Hengartner, N., Vejalla, V., Chevallier, J., & Ycart, B. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.28.271486 · Cited by 1
Desbiez-Piat, A., Rouzic, A. L., Tenaillon, M. I., & Dillmann, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.22.423930 · Cited by 1
Hierarchical Generalized Linear Mixed Model for Genome-wide Association AnalysisPreprint
Zhang, H., Liang, Y., Xu, Y., Zhou, X., Song, Y., Li, S., & Yang, R. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.10.434742 · Cited by 1
Smith, R. D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.30.454547 · Cited by 1
Intégration de l'information moléculaire dans l'évaluation génétique
Guillaume, F. (2009) · HAL · Cited by 1
MacNeil, M. D., Reecy, J. M., & Garrick, D. J. (2008) · Springer eBooks · doi:10.1007/978-3-540-73835-0_1 · Cited by 1
Kerr, R. J., Graser, H. U., Kinghorn, B. P., & Johnston, D. J. (1994) · Journal of Animal Breeding and Genetics · doi:10.1111/j.1439-0388.1994.tb00458.x · Cited by 1
Árnason, Þ. (2012) · Springer eBooks · doi:10.1007/978-1-4419-0851-3_340 · Cited by 1
Barfield, M., Holt, R. D., & Gomulkiewicz, R. S. (2012) · The American Naturalist · doi:10.1086/667358 · Cited by 1
Inferences about variance components and selection response for body weight in chickens
Su, G., Sørensen, P., & Sorensen, D. (1997) · Genetics Selection Evolution · doi:10.1051/gse:19970401 · Cited by 1
Edmé, S. J., Suman, A., & Kimbeng, C. A. (2014) · CSSA special publication - Crop Science Society of America · doi:10.2135/cssaspecpub33.c14 · Cited by 1
Impact of preselection in genomic evaluations
Jibrila, I. (2022) · doi:10.18174/563471 · Cited by 1
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Strachan, L., Bubnič, J., Petersen, G. E. L., Gorjanc, G., & Obšteter, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.26.595938 · Cited by 1
The persistence of locally adapted polymorphisms under mutation swampingPreprint
Sakamoto, T., Whiting, J. R., & Yeaman, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.18.599577 · Cited by 1
Uhl, M., Bunel, P., Navascués, M., Boitard, S., & Servin, B. (2026) · Peer Community Journal · doi:10.24072/pcjournal.708 · Cited by 1
Rasmuson, M., & Nilsson, J. Å. (1982) · Springer eBooks · doi:10.1007/978-1-4615-8321-9_30 · Cited by 1
The use of cross-validation has overestimated the value of genomic selection in plant breedingPreprint
Runcie, D. E. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.05.697784 · Cited by 1
Lyu, X., Balbona, J. V., Chen, T., & Keller, M. C. (2026) · eLife · doi:10.7554/elife.109470.1 · Cited by 1
Quantitative trait loci detection and benefits from marker-assisted selection in dairy cattle
Schulman, N. (2007) · Jukuri (Natural Resources Institute Finland (Luke))
Genetic variation in genes involved in Abeta-degradation in Alzheimer disease
Blomqvist, M. '. M. '. (2009) · Figshare
Falke, K. C. (2008) · University writing server of the University of Hohenheim (Universität Hohenheim)
Singh, R. P., & Dempfle, L. (1990) · British Poultry Science · doi:10.1080/00071669008417300
Experimental study of the efficiency of a reduced index in Tribolium
Campo, J. L., & Turrado, H. (2000) · Genetics Selection Evolution · doi:10.1051/gse:2000133
Strategies for Marker-Assisted Selection in Cattle
Gomez‐Raya, L. (2004) · The Journal of Animal Genetics · doi:10.5924/abgri2000.31.supplement2_44
Pedersen, G. A., Petersen, P. H., & Christensen, L. G. (1995) · Acta Agriculturae Scandinavica Section A – Animal Science · doi:10.1080/09064709509410911
Rosa, A. J. M., Bijma, P., de Oliveira, H. N., Lôbo, R. B., & van Arendonk, J. A. M. (2007) · Genetics and Molecular Biology · doi:10.1590/s1415-47572007000400008
Colleau, J., Lefebvre, J., Dupont, M., Felgines, C., & Wimitzky, M. (1983) · Genetics Selection Evolution · doi:10.1186/1297-9686-15-1-119
Quantitative genetic studies on growth and reproductive traits in broiler chickens
Koerhuis, A. N. M. (1996) · ERA
Simulation Monte-Carlo pour évaluer l’impact des schémas MOET adultes chez les bovins Somba
Sènou, M., & Dempfle, L. (2008) · Revue d’élevage et de médecine vétérinaire des pays tropicaux · doi:10.19182/remvt.9997
Moazen, A., Khalajzadeh, S., & Yadi, J. (2014) · Research opinions in animal & veterinary sciences
Assan, N. (2014) · Scientific Journal of Animal Science · doi:10.14196/sjas.v3i7.1540
Breeding goals for production systems utilizing indigenous chicken in Kenya
Menge, E. O. (2008)
Genetically Based Effects of Domesticated-Wild Outbreeding in Atlantic Salmon
Debes, P. V. (2013) · Library and Archives Canada (Government of Canada)
Gurguis, C. I. (2014) · UA Campus Repository (The University of Arizona)
Prediction of the benefits of selection for resistance to footrot in sheep
Nieuwhof, G. J. (2008) · Edinburgh Research Archive (University of Edinburgh)
Local joint testing improves power and identifies missing heritability in association studiesPreprint
Brown, B. C., Price, A. L., Patsopoulos, N. A., & Zaitlen, N. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/040089
Population Response to Positive Assortative Mating in Forest Tree Breeding.
Lstibůrek, M. (2006) · NCSU Libraries Repository (North Carolina State University Libraries)
Characteristics of progeny test herds and their effects on the genetic evaluation of young sires
Vierhout, C. N. (1998) · VTechWorks (Virginia Tech)
Schreck, N. (2018) · MADOC (University of Mannheim)
Testing Evolutionary Hypotheses Regarding Individual Differences in Human Mating Strategies
Sherlock, J. M. (2018) · The University of Queensland · doi:10.14264/uql.2018.248
Genetic improvement of Australian meat goats
Aldridge, M. N. (2017) · Adelaide Research & Scholarship (AR&S) (University of Adelaide)
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Yang, R., Bao, J., Yang, R., Song, Y., Hao, Z., & Bao, J. (2021) · Research Square · doi:10.21203/rs.3.rs-312421/v1
Optimal Genomic Control in Large-scale Genetic Associations for Binary DiseasesPreprint
Yang, R., Song, Y., Jiang, L., Hao, Z., & Yang, R. (2021) · Research Square · doi:10.21203/rs.3.rs-318017/v1
Zhao, Q., Liu, H., Qadri, Q. R., Wang, Q., Pan, Y., & Su, G. (2021) · Research Square · doi:10.21203/rs.3.rs-526041/v1
Studies on rates of inbreeding and genetic diversity in Canadian dairy cattle
Stachowicz, K. (2010) · The Atrium (University of Guelph)
Computational studies on recurrent genomic selection for genetic improvement of soybeans
Ramasubramanian, V. (2021) · Iowa State University Digital Repository (Iowa State University) · doi:10.31274/etd-20210609-155
Metadata
- Authors
- Bulmer, M. G.
- Corresponding author
- Bulmer, M. G.
- Venue
- The American Naturalist
- Publisher
- University of Chicago Press
- Published
- 1971-05
- Volume
- 105
- Issue
- 943
- Pages
- 201-211
- ISSN
- 0003-0147 (ISSN-L)
- 1537-5323
- OpenAlex
- W1965190303
- Cited by
- 989
- References
- 3
- Citations by year
- 2026: 37 · 2025: 28 · 2024: 36 · 2023: 33 · 2022: 39 · 2021: 43 · 2020: 42 · 2019: 43 · 2018: 19 · 2017: 31 · 2016: 23 · 2015: 22 · 2014: 26 · 2013: 25 · 2012: 26
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Naturalist (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
- genetic variance, selection, stabilizing selection, directional selection, diversifying selection, selective breeding, number of loci, quantitative genetics
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