Selection and Reduced Population Size Cannot Explain Higher Amounts of Neandertal Ancestry in East Asian than in European Human Populations
Open accessAbstract
It has been hypothesized that the greater proportion of Neandertal ancestry in East Asians than in Europeans is due to the fact that purifying selection is less effective at removing weakly deleterious Neandertal alleles from East Asian populations. Using simulations of a broad range of models of selection and demography, we have shown that this hypothesis cannot account for the higher proportion of Neandertal ancestry in East Asians than in Europeans. Instead, more complex demographic scenarios, most likely involving multiple pulses of Neandertal admixture, are required to explain the data.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In Europeans, archaic ancestry is consistent with contributions by a single population of Neanderthals through one or more pulses.
“In Europeans, archaic ancestry is consistent with contributions by a single population of Neanderthals 3 through one or more pulses [4][5][6][7] .”
From The nature of Neanderthal introgression revealed by 27,566 Icelandic genomes (2020) · cites this paper as [5]
There was a complex history of admixture throughout Eurasia not fully captured by either the single-pulse or additional-admixture hypotheses.
“Our evidence of many small-scale, population-specific admixture events, however, together with a simulation study that found a single-pulse admixture model followed by drift unable to explain the discrepancies in admixture proportions in European and Asian genomes (49), hints at a complex history of admixture throughout Eurasia not fully captured by either of these two hypotheses.”
From An ancestral recombination graph of human, Neanderthal, and Denisovan genomes (2021) · cites this paper as [49]
The citation lists haven’t been fetched yet
References 27 · Cited by 82
- Authors
- Kim, B. Y., & Lohmueller, K. E.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Lohmueller, Kirk E.
- Venue
- The American Journal of Human Genetics
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 96
- Issue
- 3
- Pages
- 454-461
- ISSN
- 0002-9297 (ISSN-L)
- PMC
- PMC4375557
- OpenAlex
- W1981283697
- Cited by
- 82
- References
- 27
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 5 · 2021: 11 · 2020: 6 · 2019: 5 · 2018: 12 · 2017: 9 · 2016: 20 · 2015: 5
- FWCI
- 64.45
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The American Journal of Human Genetics (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Topics
- Social Sciences › Anthropology › Pleistocene-Era Hominins and Archaeology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- East Asian populations, European populations, purifying selection, population size reduction, demographic history
- MeSH terms
- Alleles, Animals, Genetics, Population, Humans, Population Density, Genome, White People, Asian People, Neanderthals
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
