Evidence map›Paper›PMID 10485871›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America1999

Why hunter-gatherer populations do not show signs of pleistocene demographic expansions.

L Excoffier, S Schneider

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

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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

64 citing papers in PubMed.

  1. Article
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  6. The deep population history in Africa.Human molecular genetics · 2021
    Review
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  13. An ecocultural model predicts Neanderthal extinction through competition with modern humans.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  14. Article
  15. Review
  16. The marginal valuation of fertility.Evolution and human behavior : official journal of the Human Behavior and Evolution Society · 2014
    Article
  17. Article
  18. Article
  19. Article
  20. Article

4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

L ExcoffierGenetics and Biometry Laboratory, Department of Anthropology, University of Geneva, CP 24, 1211 Geneva 24, Switzerland. Laurent.Excoffier@anthro.unige.ch
S Schneider

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mitochondrial DNA diversity of 62 human population samples was examined for potential signals of population expansions. Stepwise expansion times were estimated by taking into account heterogeneity of mutation rates among sites. Assuming an mtDNA divergence rate of 33% per million years, most populations show signals of Pleistocene expansions at around 70,000 years (70 KY) ago in Africa and Asia, 55 KY ago in America, and 40 KY ago in Europe and the Middle East, whereas the traces of the oldest expansions are found in East Africa (110 KY ago for the Turkana). The genetic diversity of two groups of populations (most Amerindian populations and present-day hunter-gatherers) cannot be explained by a simple stepwise expansion model. A multivariate analysis of the genetic distances among 61 populations reveals that populations that did not undergo demographic expansions show increased genetic distances from other populations, confirming that the demography of the populations strongly affects observed genetic affinities. The absence of traces of Pleistocene expansions in present-day hunter-gatherers seems best explained by the occurrence of recent bottlenecks in those populations, implying a difference between Pleistocene (approximately 1,800 KY to 10 KY ago) and Holocene (10 KY to present) hunter-gatherers demographies, a difference that occurred after, and probably in response to, the Neolithic expansions of the other populations.

Indexed as

Biological EvolutionDemographyEvolution, MolecularAnthropologyArchaeologyDNA, MitochondrialGenetics, PopulationGenetic VariationHumansModels, StatisticalTime FactorsDNA, Mitochondrial

Identifiers

PMID10485871
PMCPMC17928

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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.