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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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Citations
Cites
Introduction to Quantitative Genetics.
Edwards, A. W. F., & Falconer, D. S. (1982) · Biometrics · doi:10.2307/2529912 · Cited by 21,447
A second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438
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
The hitch-hiking effect of a favourable gene
Smith, J. M., & Haigh, J. (1974) · Genetical Research · doi:10.1017/s0016672300014634 · Cited by 3,415 · cited 1×
“The standard approaches to detecting selection in population genetic data have been strongly shaped by the classical hitch-hiking model explored in detail by Maynard Smith and Haigh [40].”
A Map of Recent Positive Selection in the Human Genome
Voight, B. F., Kudaravalli, S., Wen, X., & Pritchard, J. K. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040072 · Cited by 2,925 · cited 1×
“These include signals of partial sweeps [20], reduced diversity at putatively neutral sites [28,29] and an excess of SNPs with extreme population differentiation (high FST) within genes (Figure 1A) [30].”
Self-citationThe hitch-hiking effect of a favourable gene
Smith, J. M., & Haigh, J. (2007) · Genetics Research · doi:10.1017/s0016672308009579 · Cited by 2,675
Genome-wide detection and characterization of positive selection in human populations
The International HapMap Consortium, Sabeti, P. C., Varilly, P., Fry, B., Lohmueller, J., Hostetter, E., Cotsapas, C., Xie, X., Byrne, E. H., McCarroll, S. A., et al. (2007) · Nature · doi:10.1038/nature06250 · Cited by 2,131
Worldwide Human Relationships Inferred from Genome-Wide Patterns of Variation
Li, J. Z., Absher, D. M., Tang, H., Southwick, A. M., Casto, A. M., Ramachandran, S., Cann, H. M., Barsh, G. S., Feldman, M. W., Cavalli-Sforza, L. L., et al. (2008) · Science · doi:10.1126/science.1153717 · Cited by 1,915
The effect of deleterious mutations on neutral molecular variation.
Charlesworth, B., Morgan, M. T., & Charlesworth, D. (1993) · Genetics · doi:10.1093/genetics/134.4.1289 · Cited by 1,814 · cited 2×
“Taken together, these observations are most easily explained by either widespread positive selection, or possibly by background selection against mildly deleterious alleles [29,32].”
Effective population size and patterns of molecular evolution and variation
Charlesworth, B. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2526 · Cited by 1,743
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Genomic underpinnings of head and body shape in Arctic charr ecomorph pairs
Fenton, S., Jacobs, A., Bean, C. W., Adams, C. E., & Elmer, K. R. (2024) · Molecular Ecology · doi:10.1111/mec.17305 · Cited by 8
“…of differing demographic histories (Elmer et al., 2014) and variable ge-netic backgrounds (Arendt & Reznick, 2008; Kowalko et al., 2013), while relative effect size and hard and soft selective sweeps can also influence the genomic pathways used (Láruson et al., 2020; Pritchard et al., 2010).”
BackgroundSignatures of selection with cultural interference
Fogarty, L., & Otto, S. P. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2322885121 · Cited by 7
Enrichment of Hard Sweeps on the X Chromosome in Drosophila melanogaster
Harris, M., & Garud, N. R. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac268 · Cited by 7
“Adaptation can be characterized as gradual or rapid (Hermisson and Pennings 2005, 2017; Pritchard et al. 2010; Messer and Petrov 2013), and its pace depends on the availability of adaptive mutations.”
Blair, L. M., & Feldman, M. W. (2015) · BMC Genetics · doi:10.1186/s12863-015-0239-3 · Cited by 10
“If such adaptation were to involve weak or frequency-dependent selection for some phenotypic optimum, associated single nucleotide polymorphisms (SNPs) may not approach fixation [3, 4].”
BackgroundAdaptive Human CDKAL1 Variants Underlie Hormonal Response Variations at the Enteroinsular Axis
Chang, C. L., Cai, J. J., Huang, S. Y., Cheng, P. J., Chueh, H. Y., & Hsu, S. Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0105410 · Cited by 9
“However, the identification of adaptive variants in energy-balance regulation appeared to lag behind that of other traits [33,34].”
BackgroundWang, L., Tiffin, P., & Olson, M. S. (2014) · Tree Genetics & Genomes · doi:10.1007/s11295-014-0731-3 · Cited by 8
“Finally, our selection analyses may have had limited power to identify targets of adaptation—either because selection acted on standing variation generates weaker amongpopulation differentiation in linked sites than hard selection does (Raquin et al. 2008; Pritchard et al. 2010; Hohenlohe et al. 2011) or because of th…”
BackgroundResultLongitudinal sequencing reveals polygenic and epistatic nature of genomic response to selection
Forsberg, S. K. G., Melo, D., Wolf, S., Grenier, J. K., Tang, M., Henry, L. P., Pallares, L. F., Clark, A. G., & Ayroles, J. F. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2410452122 · Cited by 6
“…that selection response is generated by more subtle changes across the allele frequencies of many loci (Chevin & Hospital, 2008; Jain & Stephan, 2017), and indeed it has become clear that this is a more common form of adaptive response than hard sweeps (Barghi et al., 2020; Pritchard et al., 2010).”
Advances in Understanding Adaptive Hemoglobin Concentration at High Altitude
Childebayeva, A., Zhu, K. T., & Bigham, A. W. (2025) · American Journal of Human Biology · doi:10.1002/ajhb.70087 · Cited by 8
Simple Statistical Tools to Detect Signals of Recent Polygenic Selection
Piffer, D. (2014) · Interdisciplinary Bio Central · doi:10.4051/ibc.2014.6.1.0001 · Cited by 7
“the frequencies did not significantly differ between the three races, F (2, 27) = 2.”
BackgroundInfluentialGenomic consequences of artificial selection during early domestication of a wood fibre crop
Mostert‐O'Neill, M. M., Tate, H., Reynolds, S. M., Mphahlele, M. M., van den Berg, G., Verryn, S. D., Acosta, J. J., Borevitz, J., & Myburg, A. A. (2022) · New Phytologist · doi:10.1111/nph.18297 · Cited by 7
Wen, J., Yu, J., Zhang, L., Li, H., Wang, H., Gu, H., Zhao, X., Zhang, X., Ren, X., Wang, G., et al. (2023) · Animals · doi:10.3390/ani13233608 · Cited by 7
“In heat adaptation, animals showed adaptive changes such as reduced basal metabolic rate, vasodilation, hair thinning, enhanced skin pigmentation, and body size changes [64].”
BackgroundEvolution of Phenotypic Variance Provides Insights into the Genetic Basis of Adaptation
Lai, W., Nolte, V., Jakšić, A. M., & Schlötterer, C. (2024) · Genome Biology and Evolution · doi:10.1093/gbe/evae077 · Cited by 7
“Nevertheless, for selected phenotypes with a polygenic architecture, the contribution of individual loci to phenotypic change may be too subtle to be detected with classic population genetic methods (Pritchard et al. 2010).”
Genome-Wide Analysis of Genetic Diversity and Selection Signatures in Zaobei Beef Cattle
Shi, L., Zhang, P., Liu, Q., Liu, C., Cheng, L., Yu, B., & Chen, H. (2024) · Animals · doi:10.3390/ani14162447 · Cited by 7
“…selection is a form of natural selection that enhances the adaptability and survival ability of organisms in specific environments by increasing the frequency of beneficial genetic variations, helping us understand how specific genetic variations affect the adaptive traits of organisms [66].”
BackgroundZhao, S., Chi, L., Fu, M., & Chen, H. (2024) · Molecular Biology and Evolution · doi:10.1093/molbev/msae192 · Cited by 8
“The development of methodologies capable of effectively identifying soft sweeps and discerning them from hard sweeps presents a challenging yet crucial frontier in current research (Pritchard et al. 2010).”
BackgroundBertolini, F., Schiavo, G., Bovo, S., Ribani, A., Dall’Olio, S., Zambonelli, P., Gallo, M., & Fontanesi, L. (2024) · animal · doi:10.1016/j.animal.2024.101335 · Cited by 7
Exact simulation of conditioned Wright–Fisher models
Zhao, L., Lascoux, M., & Waxman, D. (2014) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2014.08.027 · Cited by 7
Campbell, M. C., Ashong, B., Teng, S., Harvey, J., & Cross, C. N. (2019) · BMC Evolutionary Biology · doi:10.1186/s12862-019-1516-y · Cited by 7
“a multiple-locus soft sweep model), none of the favored mutations rise rapidly to fixation [74], but rather beneficial alleles at different loci undergo an incomplete selective sweep.”
BackgroundAmbient Temperature is a Strong Selective Factor Influencing Human Development and Immunity
Ji, L., Wu, D., Xie, H., Yao, B.-B., Chen, Y., Irwin, D. M., Huang, D., Xu, J., Tang, N. L. S., & Zhang, Y. (2020) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2019.11.009 · Cited by 7
“More adaptations may be expressed by the so-called ‘soft sweeps’ in which subtle allele frequency shifts occur in standing variation [35].”
BackgroundA possible genomic footprint of polygenic adaptation on population divergence in seed beetles?
Arnqvist, G., & Sayadi, A. (2022) · Ecology and Evolution · doi:10.1002/ece3.9440 · Cited by 7
“…should be quite modest (Griffin et al., 2017), because differentiation should be built by partly different sets of loci across different sets of population pairs and the vector describing relative differentiation across genes should thus only partly be shared (Pritchard et al., 2010).”
Russo, C., Eyre‐Walker, A., Katz, L. A., & Gaut, B. S. (2024) · Molecular Biology and Evolution · doi:10.1093/molbev/msad264 · Cited by 9
“Many methods for detecting both soft and hard sweeps focus on single loci or genomic regions, but adaptation is often polygenic (Pritchard et al. 2010).”
Systematic underestimation of the age of selected alleles
Kelley, J. L. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00165 · Cited by 7
Genomic signatures of the plateless phenotype in the threespine stickleback
Mazzarella, A. B., Boessenkool, S., Østbye, K., Vøllestad, L. A., & Trucchi, E. (2016) · Ecology and Evolution · doi:10.1002/ece3.2072 · Cited by 7
“Indeed, it is likely that for some traits, many hundreds of genetic variants are contributing to them, and that selection acts simultaneously on variants at many different loci (polygenic adaptation) that each have a small effect on the trait in question (Pritchard et al. 2010).”
Librado, P., & Rozas, J. (2016) · Genome Biology and Evolution · doi:10.1093/gbe/evw191 · Cited by 7
“The phenotype of most quantitative traits is likely to be simultaneously controlled by multiple loci (Pritchard et al. 2010; Huang et al. 2012).”
BackgroundGenetic architecture of a body colour cline in Drosophila americana
Sramkoski, L. L., McLaughlin, W. N., Cooley, A. M., Yuan, D. C., John, A., & Wittkopp, P. J. (2020) · Molecular Ecology · doi:10.1111/mec.15531 · Cited by 7
Allele frequency divergence reveals ubiquitous influence of positive selection in Drosophila
Bertram, J. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009833 · Cited by 7
Ginn, B. R. (2017) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2017.01.005 · Cited by 6
“, resulting from allele frequency shifts across many gene loci (Gnecchi-Ruscone et al. 2018; Bergey et al. 2018; Boyle et al. 2017; Berg and Coop 2014; Hancock et al. 2010; Pritchard and Rienzo 2010; Pritchard et al. 2010). However, there is some debate over the likelihood of such adaptation and proper interpretation…”
BackgroundPopulation genetic studies in the genomic sequencing era.
Chen, H. (2015) · PubMed Central · doi:10.13918/j.issn.2095-8137.2015.4.223 · Cited by 7
“…Research 36(4): 223-232, 2015 229 geneticists hypothesized that other forms of selection, such as, soft sweeps and polygenetic selection, are likely to be more common in nature and are under the radar of existing genomic approaches (Pritchard et al, 2010; Wollstein & Stephan, 2015).”
BackgroundLewandowska, M., Jędrychowska-Dańska, K., Płoszaj, T., Witas, P., Zamerska, A., Mańkowska-Pliszka, H., & Witas, H. W. (2018) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2018.05.008 · Cited by 7
Polygenic selection underlies evolution of human brain structure and behavioral traitsPreprint
Beiter, E. R., Khramtsova, E. A., van der Merwe, C., Chimusa, E. R., Simonti, C., Stein, J., Thompson, P. M., Fisher, S. E., Stein, D. J., Capra, J. A., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/164707 · Cited by 7
A map of climate change-driven natural selection in Arabidopsis thalianaPreprint
Expósito‐Alonso, M., 500 Genomes Field Experiment Team, Burbano, H. A., Bossdorf, O., Nielsen, R., & Weigel, D. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/321133 · Cited by 7
The adaptive architecture is shaped by population ancestry and not by selection regimePreprint
Otte, K. A., Nolte, V., Mallard, F., & Schlötterer, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.25.170878 · Cited by 7
“…stabilizing selection, any selection regime changing the trait optimum will result only in very small allele frequency shifts (Bulmer 1971; Sella and Barton 2019) - almost impossible to detect with classic population genetic tests (Pritchard et al. 2010; Field et al. 2016; Jain and Stephan 2017a).”
BackgroundSelection on ancestral genetic variation fuels parallel ecotype formation in bottlenose dolphinsPreprint
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. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.05.325159 · Cited by 7
“Although further investigation is warranted as many complex traits may be polygenic (56), and it is difficult to prove causal relations between behavioral/ecological traits and genes under selection, we uncovered parallel selection in 45 genes including some related to”
BackgroundEstimation of real-infection and immunity against SARS-CoV-2 in Indian populationsPreprint
Singh, P. P., Tamang, R., Shukla, M., Pathak, A., Srivastava, A., Gupta, P., Bhatt, A., Shrivastava, A., Upadhyay, S., Singh, A., et al. (2021) · medRxiv · doi:10.1101/2021.02.05.21251118 · Cited by 6
Abraham, A., LaBella, A. L., Benton, M. L., Rokas, A., & Capra, J. A. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad037 · Cited by 7
When can fitness epistasis be ignored in a polygenic trait at equilibrium?Preprint
Devi, A., & Jain, K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.25.525607 · Cited by 6
She, H., Hao, Y., Song, G., Luo, X., Lei, F., Zhai, W., & Qu, Y. (2024) · eLife · doi:10.7554/elife.86687.3 · Cited by 6
Cortés, A. J., & Blair, M. W. (2018) · InTech eBooks · doi:10.5772/intechopen.71669 · Cited by 7
Laval, G., Patin, É., Boutillier, P., & Quintana‐Murci, L. (2021) · Genetics · doi:10.1093/genetics/iyab161 · Cited by 12
Wang, Y., Zhao, B., Choi, J., & Lee, E. A. (2021) · Mobile DNA · doi:10.1186/s13100-021-00250-2 · Cited by 8
Zhen, Y., Huber, C. D., Davies, R. W., & Lohmueller, K. E. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/427583 · Cited by 7
“These include another type of soft sweeps (Pritchard et al. 2010), 448”
BackgroundSelective sweeps influence diversity over large regions of the mouse genomePreprint
Booker, T. R., Jackson, B., Craig, R. J., Charlesworth, B., & Keightley, P. D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.10.447924 · Cited by 6
“Additionally, adaptation acting on quantitative traits subject to stabilising selection may generate partial sweeps, because changes in allele frequencies at many loci can rapidly alter mean phenotypes, without necessarily causing fixations (Pritchard et al. 2010; Jain and Stephan 2017).”
BackgroundExtensive variation in germline de novo mutations in Poecilia reticulataPreprint
Lin, Y., Darolti, I., van der Bijl, W., Morris, J., & Mank, J. E. (2023) · Genome Research · doi:10.1101/gr.277936.123 · Cited by 7
“Selection on adaptive DNMs will produce a signature of hard sweeps and would most often be associated with a few loci of large effect (Pritchard et al. 2010; Matuszewski et al. 2015).”
BackgroundWhen should adaptation arise from a polygenic response versus few large effect changes?Preprint
Milligan, W. R., Hayward, L. K., & Sella, G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.15.654234 · Cited by 7
“Therefore, it remains unclear if large effect changes represent a common mode of adaptation in any given species (see, e.g., Coop et al. 2009; Pritchard et al. 2010; Pritchard and Di Rienzo 2010; Hernandez et al. 2011; Elyashiv et al. 2016; Murphy et al. 2022).”
She, H., Hao, Y., Song, G., Luo, X., Lei, F., Zhai, W., & Qu, Y. (2023) · eLife · doi:10.7554/elife.86687 · Cited by 5
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Cheng, Y., Miller, M. J., & Lei, F. (2024) · Annual Review of Animal Biosciences · doi:10.1146/annurev-animal-030424-074906 · Cited by 8
Signatures of selective sweeps in continuous-space populations
Chotai, M., Wei, X., & Messer, P. W. (2025) · Genetics · doi:10.1093/genetics/iyaf183 · Cited by 5
Hallas, J. M., Parchman, T. L., & Feldman, C. R. (2021) · Journal of Biogeography · doi:10.1111/jbi.14146 · Cited by 5
“In addition, adaptation to environmental variation is likely to be polygenic, in which case common selective pressures may rarely lead to parallel genetic responses (Csilléry et al., 2018; Losos, 2011; Pritchard et al., 2010).”
BackgroundDivergent patterns of selection on metabolite levels and gene expression
Kern, A., Yang, G. X., Khosla, N. M., Ang, R. M. L., Snyder, M. P., & Fraser, H. B. (2021) · BMC Ecology and Evolution · doi:10.1186/s12862-021-01915-5 · Cited by 5
Mouterde, M., Daali, Y., Rollason, V., Čížková, M., Mulugeta, A., Al-Balushi, K., Fakis, G., Constantinidis, T. C., Al‐Thihli, K., Černá, M., et al. (2022) · Genome Biology and Evolution · doi:10.1093/gbe/evac167 · Cited by 6
“14(12) https://doi.org/10.1093/gbe/evac167 Advance Access publication 29 November 2022 detect soft sweeps or more complex selective mechanisms such as epistasis (Pritchard et al. 2010).”
BackgroundInfluentialRapid, nonparallel genomic evolution of Brassica rapa (field mustard) under experimental drought
Johnson, S. E., Tittes, S. B., & Franks, S. J. (2023) · Journal of Evolutionary Biology · doi:10.1111/jeb.14152 · Cited by 5
Genomic architecture controls multivariate adaptation to climate change
Hart, D. E. T., & Wang, I. (2024) · Global Change Biology · doi:10.1111/gcb.17179 · Cited by 7
“In recent decades, research bridging the fields of molecular population genetics and quantitative genetics (Barghi et al., 2020; Barton, 1999; Pritchard et al., 2010 ; Pritchard & Di Rienzo, 2010 ) has revealed that the genomic architecture of a trait is a core de - terminant of whether and how…”
Chen, H., Chien, C., & Lee, C. (2024) · PLANT PHYSIOLOGY · doi:10.1093/plphys/kiae245 · Cited by 5
Polygenic selection to a changing optimum under self–fertilisation
Hartfield, M., & Glémin, S. (2024) · PLoS Genetics · doi:10.1371/journal.pgen.1011312 · Cited by 5
Deep estimation of the intensity and timing of natural selection from ancient genomes
Laval, G., Patin, É., Quintana‐Murci, L., & Kerner, G. (2024) · Molecular Ecology Resources · doi:10.1111/1755-0998.14015 · Cited by 8
“Here, we introduce CNNs designed to directly use individual genotypes for the joint estimation of s and T , considering additive models for positive (Maynard Smith & Haigh, 1974; Pritchard et al., 2010; Stephan et al., 1992) and negative selection (Charlesworth et al., 1993).”
The emergence of genetic variants linked to brain and cognitive traits in human evolution
Libedinsky, I., Wei, Y., de Leeuw, C., Rilling, J. K., Posthuma, D., & van den Heuvel, M. P. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf127 · Cited by 7
“Our resultssupportthenotion that variants related to cognitive and psychiatric phenotypes have become more prevalent faster than other SNPs throughout e volution, possibly due to selection pressures (Pritchard et al. 2010; Karlsson et al. 2014; Simons et al. 2022).”
Adaptive Evolution FavoringKLK4Downregulation in East Asians
Marques, P., Fonseca, F. D., Sousa, T., Santos, P., Camilo, V., Worman, Z., Quesada, V., & Seixas, S. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msv199 · Cited by 5
“…effect sizes, while others are polygenic adaptations, at U niv M assachusetts H ealey L ibrary on Septem ber 30, 2015 http://m be.oxfordjournals.org/ D ow nloaded from possible linked to pre-existing alleles and showing a wide range of effect sizes (Pritchard et al. 2010; Jeong and Di Rienzo 2014).”
BackgroundAllele frequency differentiation at height-associated SNPs among continental human populations
Chen, M., & Chiang, C. W. K. (2021) · European Journal of Human Genetics · doi:10.1038/s41431-021-00938-2 · Cited by 5
Biological Invasions, Climate Change, and Genomics
Chown, S. L., Hodgins, K. A., Griffin, P. C., Oakeshott, J. G., Byrne, M. M., & Hoffmann, A. A. (2016) · CRC Press eBooks · doi:10.1201/9781315365084-4 · Cited by 5
Leonard, W. R. (2023) · American Journal of Human Biology · doi:10.1002/ajhb.24010 · Cited by 8
“We now recognize that both the research designs and technological limitations of the genetic analyses greatly limited the ability of early adaptability researchers to identify signatures of natu-ral selection (Crawford, 2000, 2007; Harris & Meyer, 2006; Pritchard et al., 2010).”
BackgroundPolygenic dynamics underlying the response of quantitative traits to directional selection
Götsch, H., & Bürger, R. (2024) · Theoretical Population Biology · doi:10.1016/j.tpb.2024.04.006 · Cited by 6
Natural selection among Eurasians at genomic regions associated with HIV-1 control
Klimentidis, Y. C., Aı̈ssani, B., Shriver, M. D., Allison, D. B., & Shrestha, S. (2011) · BMC Evolutionary Biology · doi:10.1186/1471-2148-11-173 · Cited by 6
“all below 37%), our results appear to be more consistent with a mode of recent evolution characterized by multiple soft sweeps as opposed to single hard sweeps [16].”
ResultClinal variation in growth cessation and FTL2 expression in Siberian spruce
Li, L., Chen, J., & Lascoux, M. (2019) · Tree Genetics & Genomes · doi:10.1007/s11295-019-1389-7 · Cited by 6
“In studies of clinal variation and, more generally, in genome-wide association studies (GWASs), the analysis can be complicated by the presence of population structure/history which, if not properly accounted for, can lead to many false positives (Pritchard et al. 2010; Savolainen et al. 2011).”
BackgroundSmadja, C. M., Loire, É., Caminade, P., Séverac, D., Gautier, M., & Ganem, G. (2022) · Peer Community Journal · doi:10.24072/pcjournal.190 · Cited by 6
Fusco, D., & Uyenoyama, M. K. (2011) · Theoretical Population Biology · doi:10.1016/j.tpb.2011.06.003 · Cited by 5
“Alternatively, local adaptation may also proceed through shifts in standing polymorphism at many loci (Pritchard et al., 2010; Hancock et al., 2010).”
BackgroundSigns of Selective Pressure on Genetic Variants Affecting Human Height
Amato, R., Miele, G., Monticelli, A., & Cocozza, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027588 · Cited by 5
“A possible explanation for this lack of evidence is that polygenic adaptation might be largely undetected by conventional methods able to look for selection [6–7].”
BackgroundPiffer, D., & Kirkegaard, E. O. W. (2014) · Open Behavioral Genetics · doi:10.26775/obg.2014.04.12 · Cited by 5
“The method of principal components analysis has been employed by Piffer (2013, 2014) to detect signals of recent polygenic selection, that is, the evolution of phenotypes governed by many common genetic variants with small effects (Pritchard & Di Rienzo, 2010; Pritchard et al., 2010).”
MethodOn The Big Challenges of a Small Shrub: Ecological Genetics of Salix herbacea L.
Cortés, A. J. (2015) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · doi:10.13140/rg.2.2.22049.02403 · Cited by 5
Trucchi, E., Frajman, B., Haverkamp, T. H. A., Schönswetter, P., & Paun, O. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/044354 · Cited by 5
“…acting on standing genetic variation present in the ancestral population or if very large effective population sizes characterize one or both diverging populations (Pritchard et al. 2010), the signature of divergence around loci under selection is expected to be minimal (Hermisson & Pennings 2005).”
BackgroundPiffer, D. (2023) · Qeios · doi:10.32388/hdjk5p · Cited by 4
Ata, N., Gündüz, Z., Kaşıkçı, D., Canatan, T., Cemal, İ., & Yılmaz, O. (2025) · Small Ruminant Research · doi:10.1016/j.smallrumres.2025.107521 · Cited by 4
McDonough, Y., Ruzicka, F., & Connallon, T. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2406335121 · Cited by 4
“X models, we focus on positively selected substitutions, which are expected to increase signals of adaptive substitution in population genomic data ( 58 , 59 ).”
Ribeiro, T. D. S., Lollar, M. J., Sprengelmeyer, Q. D., Huang, Y., Benson, D. M., Orr, M. S., Johnson, Z. C., Corbett-Detig, R. B., & Pool, J. E. (2025) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkaf051 · Cited by 3
“A number of important uncertainties persist regarding the genetic architectures of adaptive trait changes in nature, including the number and effect sizes of contributing variants, and their frequencies be - fore and after the action of positive selection (Pritchard et al .”
Gross, K., Yazdi, H. P., Schlager, E., Lilley, J., Romero‐Bravo, A., Runemark, A., Thompson, J. N., & Friberg, M. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2505119122 · Cited by 3
“1 B and SI Appendix , Table S6), cluster analysis in STRUCTURE (57) (Fig.”
Populations adapt to fluctuating selection using derived and ancestral allelic diversity
Lin, W.-H., Rocco, M. J., Bertozzi-Villa, A., & Kussell, E. L. (2015) · Evolution · doi:10.1111/evo.12665 · Cited by 5
“Population genetics data indicate that selective sweeps from standing variation make up a significant percentage of recent adaptations in flies and humans (Burke et al. 2010; Pritchard et al. 2010; Hernandez et al. 2011).”
BackgroundNaturally Available Genetic Adaptation in Common Bean and Its Response to Climate Change
Cortés, A. J., & Blair, M. W. (2018) · InTech eBooks · doi:10.5772/intechopen.72380 · Cited by 4
Barbhuiya, M. A., Uddin, A., & Chakraborty, S. (2018) · Mitochondrial DNA Part A · doi:10.1080/24701394.2018.1532414 · Cited by 4
“By the selection-mutation-drift model, CUB is defined by a balance among evolutionary forces, i.e., mutation pressure, genetic drift, and weak selection (Pritchard et al. 2010).”
BackgroundPiffer, D. (2016) · F1000Research · doi:10.12688/f1000research.6002.3 · Cited by 3
The Effects of Epistasis and Pleiotropy on Genome-Wide Scans for Adaptive Outlier Loci
Jones, A. G., Arnold, S. J., & Bürger, R. (2019) · Journal of Heredity · doi:10.1093/jhered/esz007 · Cited by 4
Genome-wide analysis revisits incipient sympatric and allopatric speciation in a beetle
Hong, W., Li, K., Sharaf, K., Song, X., Pavlı́ček, T., Zhao, H., & Nevo, E. (2020) · Israel Journal of Ecology and Evolution · doi:10.1163/22244662-bja10018 · Cited by 4
Landscape genomic tests for associations between loci and environmental gradients
Frichot, É., Schoville, S. D., Bouchard, G., & Fran, O. (2012) · Cited by 5
Anderson, J. T., & Mitchell‐Olds, T. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001197 · Cited by 4
“In theory, predictable patterns of clinal variation in allele frequencies can arise from divergent selection across environmental gradients [1], although demographic factors may complicate identification of adaptive changes [4,5].”
Polymorphism at genes involved in salt tolerance in Arabidopsis thaliana (Brassicaceae)
Puerma, E., & Aguadé, M. (2013) · American Journal of Botany · doi:10.3732/ajb.1200332 · Cited by 4
The genetics of host adaptation in the parasiticplant Striga hermonthica
Pescott, O. L. (2013) · Cited by 4
Foll, M., Gaggiotti, O. E., Daub, J. T., & Excoffier, L. (2014) · arXiv (Cornell University) · Cited by 4
Directional Selection and Adaptation
Racimo, F., Schraiber, J. G., Casey, F., & Huerta‐Sánchez, E. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800049-6.00028-7 · Cited by 4
Ecological and association genetics in two Mediterranean pine species
Quilón, I. R. (2017) · UPM Digital Archive (Technical University of Madrid) · doi:10.20868/upm.thesis.47140 · Cited by 4
Richards, E. J., Poelstra, J. W., & Martin, C. H. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/217984 · Cited by 4
“…may have been adaptive and undergone soft selective sweeps, although the relative contributions of hard sweeps versus soft sweeps during adaptation and speciation is still the subject of much debate (Hermisson and Pennings 2005, 2017; Pritchard et al. 2010; Jensen 2014; Schrider et al. 2015).”
BackgroundLaval, G., Patin, É., Boutillier, P., & Quintana‐Murci, L. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.22.886234 · Cited by 4
Deep estimation of the intensity and timing of selection from ancient genomesPreprint
Laval, G., Patin, É., Quintana‐Murci, L., & Kerner, G. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.27.550703 · Cited by 4
How weedy Arabidopsis thaliana dominated the world: ancestral variation and polygenic adaptationPreprint
Lo, C., Chien, C., Lin, Y., Yeh, P.-M., & Lee, C. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.28.591542 · Cited by 5
Striking Departures from Polygenic Architecture in the Tails of Complex TraitsPreprint
Souaiaia, T., Wu, H. M., Ori, A. P. S., Choi, S. W., Hoggart, C., & O’Reilly, P. F. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.18.624155 · Cited by 4
Marfurt, S. M., Chabanne, D. B. H., Wittwer, S., Bizzozzero, M. R., Allen, S. J., Gerber, L., Nicholson, K. E., & Krützen, M. (2024) · Molecular Ecology · doi:10.1111/mec.17555 · Cited by 3
“…Hoban et al. 2016; Wadgymar et al. 2022), during which natural selection leads to locally adapted genotypes by acting on de-novo mutations or standing genetic variation (Ament-Velásquez et al. 2022; Matuszewski, Hermisson, and Kopp 2015; Pritchard, Pickrell, and Coop 2010; Teotónio et al. 2009).”
Deep learning insights into distinct patterns of polygenic adaptation across human populations
Tripathi, D., Bhattacharyya, C., & Basu, A. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae1027 · Cited by 3
Arenas, S., & Cortés, A. J. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27020652 · Cited by 3
“The reduction in GW, TDM, and GY under drought, with increases in between-genotype variability, suggests that these traits depend more heavily on context-specific interactions and may be governed by many small-effect loci [8,49], consistent with their highly polygenic nature [18,50].”
Omics Technologies in Molecular Biology
Cortés, A. J. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27083349 · Cited by 3
“While these approaches have offered key regulatory understanding, they frequently fell short in explaining complex polygenic phenotypes due to the multi-layered [3] and sometimes epistatic [4] nature of biological regulation [5].”
Model Comparison of Heritability Enrichment Analysis in Livestock Population
Cai, X., Teng, J., Ren, D., Zhang, H., Li, J., & Zhang, Z. (2022) · Genes · doi:10.3390/genes13091644 · Cited by 3
“, the direction of selection) is the result of the many signals of positive and negative selection on trait-associated variants cancelling each other out [34].”
BackgroundA Completionist Approach to Discovering and Characterizing Bacterial Diversity
Cohan, F. M., & Kopac, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28818-0.00009-4 · Cited by 3
DR5 is a restriction factor for human herpesviruses
Han, C., Gui, C., Su, B., Liu, N., Yan, H., & Lan, K. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2417372122 · Cited by 3
“This process promotes better adaptations and ultimately increases survival and reproduction rates ( 53 ).”
The State of Forest Genetic Diversity: Anthropogenic Impacts and Conservation Initiatives
Konrad, H., George, J., & Szukala, A. (2025) · Springer eBooks · doi:10.1007/978-3-031-82206-3_4 · Cited by 6
A Comprehensive Review of GWASs of Human Hair Traits
Needle, C. D., Brinks, A. L., Perez, O. D., Shapiro, J., Sicco, K. I. L., Tsirigos, A., & Petukhova, L. (2025) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2025.07.004 · Cited by 3
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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