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The Genetics of Human Adaptation: Hard Sweeps, Soft Sweeps, and Polygenic Adaptation
Open accessAbstract
There has long been interest in understanding the genetic basis of human adaptation. To what extent are phenotypic differences among human populations driven by natural selection? With the recent arrival of large genome-wide data sets on human variation, there is now unprecedented opportunity for progress on this type of question. Several lines of evidence argue for an important role of positive selection in shaping human variation and differences among populations. These include studies of comparative morphology and physiology, as well as population genetic studies of candidate loci and genome-wide data. However, the data also suggest that it is unusual for strong selection to drive new mutations rapidly to fixation in particular populations (the 'hard sweep' model). We argue, instead, for alternatives to the hard sweep model: in particular, polygenic adaptation could allow rapid adaptation while not producing classical signatures of selective sweeps. We close by discussing some of the likely opportunities for progress in the field.
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“As previously noted (Hawks et al. 2007;Karasov et al. 2010;Pritchard et al. 2010), effective population size is one of the most important factors limiting the availability of adaptive mutations.”
From The timing of pigmentation lightening in Europeans (2013) · cites this paper as Pritchard et al. 2010
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The Effect of Linkage on Establishment and Survival of Locally Beneficial Mutations
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“Such selection may be much more predominant than species-wide selection from new mutations and may be the predominant source of adaptive evolution in humans (Pritchard et al. 2010).”
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BackgroundGenetic depletion at adaptive but not neutral loci in an endangered bird species
Hartmann, S. A., Schaefer, H. M., & Segelbacher, G. (2014) · Molecular Ecology · doi:10.1111/mec.12975 · Cited by 55
“The evidence of selection can be masked in soft sweeps (Pritchard et al. 2010) and therefore be hard to detect using Tajima0s D, as this test is not very robust in such cases (Simonsen et al.”
BackgroundMethodPopulation Structure Shapes Copy Number Variation in Malaria Parasites
Cheeseman, I. H., Miller, B., Tan, J. C., Tan, A., Nair, S., Nkhoma, S. C., Donato, M. D., Rodulfo, H., Dondorp, A. M., Branch, O. H., et al. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msv282 · Cited by 53
“2011), and when populations are large, as for microbial pathogens such as malaria (Pennings and Hermisson 2006; Pritchard et al. 2010).”
BackgroundEvolutionary GeneticsPreprint
Arslan, R. C., & Penke, L. (2017) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/qt2zn · Cited by 55
An Evolutionary Framework for Association Testing in Resequencing Studies
King, C. R., Rathouz, P. J., & Nicolae, D. L. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001202 · Cited by 54
“positively selected variants to have very different phenotype effects from neutral alleles, but it is not clear a-priori what that relationship should be or if it will be possible to reliably identify positively selected SNPs [50,51].”
BackgroundGenetic approaches in comparative and evolutionary physiology
Storz, J. F., Bridgham, J. T., Kelly, S. A., & Garland, T. (2015) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00100.2015 · Cited by 53
“774 This is because changes in the mean value of a polygenic trait can be produced by modest shifts 775 in allele frequencies at large numbers of loci that have individually small effects, so the effects of 776 selection at any single locus may not be readily detectable (23, 149, 150, 185).”
BackgroundKantanen, J., Løvendahl, P., Strandberg, E., Eythórsdóttir, E., Li, M.-H., Kettunen-Præbel, A., Berg, P., & Meuwissen, T. H. E. (2015) · Frontiers in Genetics · doi:10.3389/fgene.2015.00052 · Cited by 59
““Adaptation traits” are complex and often polygenically controlled (Pritchard et al., 2011).”
BackgroundGenomic analyses suggest parallel ecological divergence in Heliosperma pusillum (Caryophyllaceae)
Trucchi, E., Frajman, B., Haverkamp, T. H. A., Schönswetter, P., & Paun, O. (2017) · New Phytologist · doi:10.1111/nph.14722 · Cited by 57
“However, as adaptive traits are probably polygenic (Pritchard et al., 2010), the signature of selection may be difficult to detect unless more advanced analytical approaches, not applicable on our data type, are used (Daub et al.”
BackgroundMethodInfluentialEvidence of polygenic adaptation to high altitude from Tibetan and Sherpa genomes
Gnecchi‐Ruscone, G. A., Abondio, P., Fanti, S. D., Sarno, S., Sherpa, M. G., Sherpa, P. T., Marinelli, G., Natali, L., Marcello, M. D., Peluzzi, D., et al. (2018) · Genome Biology and Evolution · doi:10.1093/gbe/evy233 · Cited by 58
“…the intensity of the selective pressure on each of them was relaxed due to their limited individual role in shaping the adaptive phenotype (Pritchard and Di Rienzo 2010; Pritchard et al. 2010; Hernandez et al. 2011; Scheinfeldt and Tishkoff 2013; Jeong and Di Rienzo 2014; Schrider and Kern 2017).”
Backgroundde Miguel, M., Rodríguez‐Quilón, I., Heuertz, M., Hurel, A., Grivet, D., Jaramillo‐Correa, J. P., Vendramin, G. G., Plomion, C., Majada, J. P., Alı́a, R., et al. (2022) · Molecular Ecology · doi:10.1111/mec.16367 · Cited by 61
“…the expected genome- wide footprint resulting from natural selection would not be that of a classical hard sweep, but would rather involve a large number of causal variants, each with subtle allele frequency changes (Hermisson & Pennings, 2017; Pritchard et al., 2010; Pritchard & Rienzo, 2010).”
BackgroundArslan, R. C., & Penke, L. (2015) · Wiley eBooks · doi:10.1002/9781119125563.evpsych245 · Cited by 56
The Evolution of Small-RNA-Mediated Silencing of an Invading Transposable Element
Kelleher, E. S., Azevedo, R. B. R., & Zheng, Y. (2018) · Genome Biology and Evolution · doi:10.1093/gbe/evy218 · Cited by 53
Selection on ancestral genetic variation fuels repeated ecotype formation in bottlenose dolphins
Louis, M., Galimberti, M., Archer, F. I., Berrow, S., Brownlow, A. C., Fallon, R., Nykänen, M., O’Brien, J. M., Robertson, K. M., Rosel, P. E., et al. (2021) · Science Advances · doi:10.1126/sciadv.abg1245 · Cited by 63
“Although further investigation is warranted as many complex traits may be polygenic ( 60 ) and it is difficult to prove causal relations between behavioral/ecological traits and genes under selection, the 7165 SNPs inferred to have evolved under parallel linked and recurrent selection overlapped…”
Beck, E. A., Thompson, A. C., Sharbrough, J., Brud, E., & Llopart, A. (2015) · Evolution · doi:10.1111/evo.12718 · Cited by 55
“At least qualitatively, this scenario would produce patterns of variation within the recipient species reminiscent of “soft” sweeps (Hermisson and Pennings 2005; Pritchard et al. 2010; Orr and Unckless 2014), as seen in Mytilus (Fraisse et al. 2014).”
BackgroundLee, C., & Mitchell‐Olds, T. (2013) · Molecular Ecology · doi:10.1111/mec.12250 · Cited by 53
“Recently, population geneticists have emphasized that adaptation may occur by slight allele frequency changes at many genes (polygenic adaptation), and each locus may show little signature of natural selection (Pritchard et al. 2010).”
BackgroundEckert, A. J., Wegrzyn, J., Liechty, J. D., Lee, J. M., Cumbie, W. P., Davis, J. M., Goldfarb, B., Loopstra, C. A., Palle, S. R., Quesada, T., et al. (2013) · Genetics · doi:10.1534/genetics.113.157198 · Cited by 53
Human population structure and the adaptive response to pathogen-induced selection pressures
Novembre, J., & Han, E. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0305 · Cited by 51
Downey‐Wall, A. M., Cameron, L. P., Ford, B. M., McNally, E. M., Venkataraman, Y. R., Roberts, S., Ries, J. B., & Lotterhos, K. E. (2020) · Frontiers in Marine Science · doi:10.3389/fmars.2020.566419 · Cited by 52
“Subtle shifts may also be observed if the traits responding to OA are highly polygenic (Pritchard et al., 2010) and/or there is a redundant genetic architecture (Yeaman, 2015).”
BackgroundPiffer, D. (2015) · Intelligence · doi:10.1016/j.intell.2015.08.008 · Cited by 51
The Red Queen's long race: human adaptation to pathogen pressure
Siddle, K. J., & Quintana‐Murci, L. (2014) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2014.07.004 · Cited by 56
Mäkinen, H., Vasemägi, A., McGinnity, P., Cross, T. F., & Primmer, C. R. (2014) · Evolutionary Applications · doi:10.1111/eva.12230 · Cited by 52
“…studies suggest that allele frequency differentiation around the selected site can vary depending on both the type of selective sweep and the genetic background of a given quantitative trait (Hermisson and Pennings 2005; Pennings and Hermisson 2006; Pritchard et al. 2010; Cutter and Pay-seur 2013).”
Huang, Y., Chain, F. J. J., Panchal, M., Eizaguirre, C., Kalbe, M., Lenz, T. L., Samonte, I. E., Stoll, M., Bornberg‐Bauer, E., Reusch, T. B. H., et al. (2016) · Molecular Ecology · doi:10.1111/mec.13520 · Cited by 55
Akbari, A., Barton, A. R., Gazal, S., Li, Z., Kariminejad, M., Perry, A., Zeng, Y., Mittnik, A., Patterson, N. J., Mah, M., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.14.613021 · Cited by 57
A Variable Genetic Architecture of Melanic Evolution in Drosophila melanogaster
Bastide, H., Lange, J. D., Lack, J., Yassin, A., & Pool, J. E. (2016) · Genetics · doi:10.1534/genetics.116.192492 · Cited by 49
“First, phenotypic evolution may generally depend on “oligogenic” changes involving few loci or “polygenic” changes involving many loci (Bell 2009; Pritchard et al. 2010).”
BackgroundUncovering the genetic signature of quantitative trait evolution with replicated time series data
Franssen, S. U., Kofler, R., & Schlötterer, C. (2016) · Heredity · doi:10.1038/hdy.2016.98 · Cited by 47
“The reasons for this discrepancy are not clear, but it has been cautioned that the simple model of a beneficial allele sweeping through a population until fixation may be the exception rather then the rule (Pritchard and Di Rienzo, 2010; Pritchard et al., 2010).”
BackgroundA Large Panel of Drosophila simulans Reveals an Abundance of Common Variants
Signor, S. A., New, F. N., & Nuzhdin, S. V. (2017) · Genome Biology and Evolution · doi:10.1093/gbe/evx262 · Cited by 53
“…the literature for 20 years, including whether or not they can be reliably distinguished from hard sweeps (Hermisson and Pennings 2005, 2017; Przeworski et al. 2005; Pennings and Hermisson 2006a,b, Pritchard et al. 2010; Messer and Petrov 2013; Jensen 2014; Garud et al. 2015; Schrider et al. 2015).”
BackgroundEvolutionary and population (epi)genetics of immunity to infection
Barreiro, L. B., & Quintana‐Murci, L. (2020) · Human Genetics · doi:10.1007/s00439-020-02167-x · Cited by 53
“A subtler mechanism of adaptation is through polygenic selection, in which selection acts simultaneously on advantageous alleles at multiple loci (Pritchard et al. 2010).”
BackgroundUnderstanding the evolution of human pigmentation: recent contributions from population genetics
Rees, J. L., & Harding, R. M. (2012) · Journal of Investigative Dermatology · doi:10.1038/jid.2011.358 · Cited by 50
“The breadth of this evidence is important (Pritchard et al., 2010).”
BackgroundGompert, Z., Lucas, L. K., Nice, C. C., & Buerkle, C. A. (2012) · Evolution · doi:10.1111/evo.12021 · Cited by 53
“Lab experiments indicate that adaptation from standing genetic variation often involves many loci and occurs by modest changes in allele frequencies rather than allele substitutions (Teotonio et al. 2009; Burke et al. 2010; Pritchard et al. 2010).”
BackgroundCommon polymorphisms in WNT10A affect tooth morphology as well as hair shape
Kimura, R., Watanabe, C., Kawaguchi, A., Kim, Y., Park, S., Maki, K., Ishida, H., & Yamaguchi, T. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv014 · Cited by 50
Estimating the Strength of Selective Sweeps from Deep Population Diversity Data
Messer, P. W., & Neher, R. A. (2012) · Genetics · doi:10.1534/genetics.112.138461 · Cited by 52
“Examples are incomplete sweeps, where the adaptive mutation is not fixed in the population, and soft sweeps, where more than one haplotype has swept through the population (Pritchard et al. 2010).”
BackgroundInfluentialKang, L., Aggarwal, D. D., Rashkovetsky, E., Korol, A., & Michalak, P. (2016) · BMC Genomics · doi:10.1186/s12864-016-2556-y · Cited by 54
“A number of approaches have been developed to detect selective sweeps in population genetic data, using a combination of methods based on LD or haplotype structure [17-21], background allele frequency spectrum from Poolseq data [22], as well as the interplay between recombination and ancestral variation [23].”
MethodThe Evolutionary History of Human Skin Pigmentation
Rocha, J. (2019) · Journal of Molecular Evolution · doi:10.1007/s00239-019-09902-7 · Cited by 54
Evolutionary dynamics of recent selection on cognitive abilities
Miller, S., Legan, A. W., Henshaw, M. T., Ostevik, K. L., Samuk, K., Uy, F. M. K., Reeve, H. K., & Sheehan, M. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1918592117 · Cited by 51
“1) What is the population genomic signature of cognitive evolution? Depending on the mode and tempo of evolution, the population genomic signature of evolutionary changes in phenotypes will vary (30, 31).”
BackgroundDetection of hard and soft selective sweeps from Drosophila melanogaster population genomic data
Garud, N. R., Messer, P. W., & Petrov, D. A. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009373 · Cited by 55
“It is possible that many types of soft sweeps could have given rise to these observed patterns, including soft sweeps from standing genetic variation [19], soft sweeps from multiple de novo mutations [20], spatial soft sweeps [74,75], polygenic sweeps [76], and sweeps arising from periodic selection (such as the oscil…”
BackgroundIdentification of large selective sweeps associated with major genes in cattle
Druet, T., Pérez-Pardal, L., Charlier, C., & Gautier, M. (2013) · Animal Genetics · doi:10.1111/age.12073 · Cited by 49
“…polygenic adaptation or « softsweeps » are expected to have a much less pronounced impact on local genetic variability than hard sweeps and hence being far less easy to identify by classical approaches aiming at detecting footprints of selection (e.g., Pritchard et al. 2010; Peter et al. 2012).”
Array of MADS-Box Genes: Facilitator for Rapid Adaptation?
Theißen, G., Rümpler, F., & Gramzow, L. (2018) · Trends in Plant Science · doi:10.1016/j.tplants.2018.04.008 · Cited by 49
Rapid sex-specific adaptation to high temperature in Drosophila
Hsu, S., Jakšić, A. M., Nolte, V., Lirakis, M., Kofler, R., Barghi, N., Versace, E., & Schlötterer, C. (2020) · eLife · doi:10.7554/elife.53237 · Cited by 49
“Given the pleiotropic effects of many genes and the polygenicity of most adaptive phenotypes (Barghi et al., 2019; Pritchard et al., 2010), it is apparent that the characterization of individual selected alleles has clear limitations in reaching the later goal.”
Background
Metadata
- Authors
- Pritchard, J. K., Pickrell, J. K., & Coop, G.
- Affiliations
- Howard Hughes Medical Institute (US)
- University of Chicago (US)
- University of California, Davis (US)
- Corresponding author
- Pritchard, Jonathan K.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2010-02
- Volume
- 20
- Issue
- 4
- Pages
- R208-R215
- ISSN
- 0960-9822 (ISSN-L)
- PMC
- PMC2994553
- OpenAlex
- W2135370544
- Cited by
- 932
- References
- 80
- Citations by year
- 2026: 46 · 2025: 35 · 2024: 38 · 2023: 46 · 2022: 47 · 2021: 69 · 2020: 64 · 2019: 63 · 2018: 72 · 2017: 54 · 2016: 73 · 2015: 69 · 2014: 72 · 2013: 51 · 2012: 64
- FWCI
- 32.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Biology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health
- National Institute of Mental Health (R01MH084703)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- human adaptation, positive selection, hard sweeps, soft sweeps, polygenic adaptation, selective sweeps, human population variation, natural selection, candidate loci
- MeSH terms
- Adaptation, Biological, Genetics, Population, Humans, Selection, Genetic, Multifactorial Inheritance
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