Testing for ancient selection using cross-population allele frequency differentiation
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Abstract
A powerful way to detect selection in a population is by modeling local allele frequency changes in a particular region of the genome under scenarios of selection and neutrality and finding which model is most compatible with the data. A previous method based on a cross-population composite likelihood ratio (XP-CLR) uses an outgroup population to detect departures from neutrality that could be compatible with hard or soft sweeps, at linked sites near a beneficial allele. However, this method is most sensitive to recent selection and may miss selective events that happened a long time ago. To overcome this, we developed an extension of XP-CLR that jointly models the behavior of a selected allele in a three-population tree. Our method - called "3-population composite likelihood ratio" (3P-CLR) - outperforms XP-CLR when testing for selection that occurred before two populations split from each other and can distinguish between those events and events that occurred specifically in each of the populations after the split. We applied our new test to population genomic data from the 1000 Genomes Project, to search for selective sweeps that occurred before the split of Yoruba and Eurasians, but after their split from Neanderthals, and that could have led to the spread of modern-human-specific phenotypes. We also searched for sweep events that occurred in East Asians, Europeans, and the ancestors of both populations, after their split from Yoruba. In both cases, we are able to confirm a number of regions identified by previous methods and find several new candidates for selection in recent and ancient times. For some of these, we also find suggestive functional mutations that may have driven the selective events.
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A significant intersection was found with the data from Prüfer et al. [44] (p < 0.05) and with the combined data from Prüfer et al. [44] and Racimo [48] (p < 0.05).
“A significant intersection was found with the data from Prüfer et al. [44] (p < 0.05) and with the combined data from Prüfer et al. [44] and Racimo [48] (p < 0.05).”
From Self-domestication in Homo sapiens: Insights from comparative genomics (2017) · cites this paper as [48]
A significant intersection was found with the data in [44] (a = 691, b = 108, v = 9; p < 0.05) and with the combined data from [44] and [48] (a = 691, b = 419, v = 24, p < 0.05).
“A significant intersection was found with the data in [44] (a = 691, b = 108, v = 9; p < 0.05) and with the combined data from [44] and [48] (a = 691, b = 419, v = 24, p < 0.05).”
From Self-domestication in Homo sapiens: Insights from comparative genomics (2017) · cites this paper as [48]
One of the most comprehensive studies of regions of the modern human genome associated with selective sweep signals compared to archaics specifically included BAZ1B within the detected portions of the WBSCR.
“(iv) the most comprehensive studies focusing on regions of the modern human genome associated with selective sweep signals compared to Neanderthals/Denisovans (hereafter “archaics”) (13, 14), one of which specifically included BAZ1B within the detected portions of the WBSCR;”
ADSL has been pointed out before as under positive selection.
“which has been pointed out before as under positive selection31,33,34,122.”
From A catalog of single nucleotide changes distinguishing modern humans from archaic hominins (2019) · cites this paper as [34]
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Flagged first, then by citations
Research works printed but not linked: 2
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Cited by
Sorted by citations
The Simons Genome Diversity Project: 300 genomes from 142 diverse populations
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Self-domestication in Homo sapiens: Insights from comparative genomics
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A catalog of single nucleotide changes distinguishing modern humans from archaic hominins
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Detecting ancient positive selection in humans using extended lineage sorting
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Glutamate receptors in domestication and modern human evolution
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<i>DLX5/6</i> GABAergic Expression Affects Social Vocalization: Implications for Human Evolution
Levi, G., de Lombares, C., Giuliani, C., Iannuzzi, V., Aouci, R., Garagnani, P., Franceschi, C., Grimaud-Hervé, D., & Narboux-Nême, N. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab181 · Cited by 29 · see citing works
“(Prufer, et al. 2014 ; Racimo, et al. 2014; Racimo 2016; Peyregne, et al. 2017; Hajdinjak, et al. 2018)).”
Background
- Authors
- Racimo, F.
- Affiliations
- University of California, Berkeley (US)
- Corresponding author
- Racimo, Fernando
- ORCID
- Racimo, Fernando
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-11-20
- Volume
- 202
- Issue
- 2
- Pages
- 733-750
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- PMC
- PMC4788246
- OpenAlex
- W2953216589
- Cited by
- 96
- References
- 101
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 8 · 2023: 6 · 2022: 12 · 2021: 12 · 2020: 9 · 2019: 10 · 2018: 10 · 2017: 8 · 2016: 3
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Genetics (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of General Medical Sciences (R01GM040282, R01‑GM40282)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- selective sweeps, allele frequency differentiation, Neanderthal admixture, functional mutations, 1000 Genomes Project
- MeSH terms
- Algorithms, Alleles, Animals, Computer Simulation, Gene Frequency, Genetics, Population, Humans, Models, Genetic, ROC Curve, Selection, Genetic, Evolution, Molecular, Genomics, White People, Asian People, Genome-Wide Association Study, Neanderthals
About these checks
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