Evidence map›Paper›PMID 35430882›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2022

Apportioning archaic variants among modern populations.

Kelsey E Witt, Fernando Villanea, Elle Loughran, Xinjun Zhang, Emilia Huerta-Sanchez

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Computational Genomics and Its Applications to Anthropological Questions.American journal of biological anthropology · 2024
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. A geometric relationship ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  13. Human genetic admixture through the lens of population genomics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  14. Celebrating 50 years since Lewontin's apportionment of human diversity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  15. The background and legacy of Lewontin's apportionment of human genetic diversity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  16. Apportioning archaic variants among modern populations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kelsey E WittEcology, Evolution, and Organismal Biology, Brown University, Providence, RI 02912, USA.ORCID 0000-0002-3242-2123
Fernando VillaneaDepartment of Anthropology, University of Colorado Boulder, Boulder, CO, USA.
Elle LoughranSmurfit Institute of Genetics, Trinity College Dublin, Dublin, Republic of Ireland.ORCID 0000-0001-7328-0929
Xinjun ZhangDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, USA.ORCID 0000-0003-1298-3545
Emilia Huerta-SanchezEcology, Evolution, and Organismal Biology, Brown University, Providence, RI 02912, USA.ORCID 0000-0002-1506-5494

Funding

Characterizing modes of natural selection via diverse ancient and modern samplesR35GM128946 · NIGMS · BROWN UNIVERSITY · PI Emilia Huerta-Sanchez · 2018 to 2026
$3.1M
Dominance on the human genome and non-additive polygenic models for predicting complex traitsK99GM143466 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZHANG, XINJUN · 2021 to 2022
$125k
NIGMS NIH HHS K99 GM143466NIGMS NIH HHS R35 GM128946
6 · The paper itself

Abstract

The apportionment of human genetic diversity within and between populations has been measured to understand human relatedness and demographic history. Likewise, the distribution of archaic ancestry in modern populations can be leveraged to better understand the interaction between our species and its archaic relatives. Resolving the interactions between modern and archaic human populations can be difficult, as archaic variants in modern populations have been shaped by genetic drift, bottlenecks and gene flow. Here, we investigate the distribution of archaic variation in Eurasian populations. We find that archaic ancestry coverage at the individual- and population-level present distinct patterns in modern human populations: South Asians have nearly twice the number of population-unique archaic alleles compared with Europeans or East Asians, indicating that these populations experienced differing demographic and archaic admixture events. We confirm previous observations that East Asian individuals have more Neanderthal ancestry than European individuals, but surprisingly, when we compare the number of single nucleotide polymorphisms with archaic alleles found across a population, Europeans have more Neanderthal ancestry than East Asians. We compare these results to simulated models and conclude that these patterns are consistent with multiple admixture events between modern humans and Neanderthals. This article is part of the theme issue 'Celebrating 50 years since Lewontin's apportionment of human diversity'.

Indexed as

HominidaeNeanderthalsAnimalsAsian PeopleGenetic DriftGenome, HumanHumansarchaic introgressiondemographic historypopulation genetics

Identifiers

PMID35430882
PMCPMC9014186

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.