The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
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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Cited by
Sorted by citations
An Expanded View of Complex Traits: From Polygenic to Omnigenic
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Self-citationHarnessing genomics for delineating conservation units
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Testing for Associations between Loci and Environmental Gradients Using Latent Factor Mixed Models
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“An alternative way to investigate signatures of local adaptation, especially when beneficial alleles have weak phenotypic effects, is by identifying polymorphisms that exhibit high correlation with environmental variables (Joost et al. 2007; Hancock et al. 2008; Coop et al. 2010; Poncet et al. 2010; Pritchard et al. 2…”
BackgroundTracing the peopling of the world through genomics
Nielsen, R., Akey, J. M., Jakobsson, M., Pritchard, J. K., Tishkoff, S., & Willerslev, E. (2017) · Nature · doi:10.1038/nature21347 · Cited by 728
Self-citationDetecting Natural Selection in Genomic Data
Vitti, J. J., Grossman, S. R., & Sabeti, P. C. (2013) · Annual Review of Genetics · doi:10.1146/annurev-genet-111212-133526 · Cited by 694
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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