Evidence map›Paper›PMID 23055938›Full record

ArticlePLoS genetics2012

The date of interbreeding between Neandertals and modern humans.

Sriram Sankararaman, Nick Patterson, Heng Li, Svante Pääbo, David Reich

Abstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 1 pooled it
–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

150 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Denisovan admixture facilitated environmental adaptation in Papua New Guinean populations.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Review
  20. Review

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

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.

Sriram SankararamanDepartment of Genetics, Harvard Medical School, Boston, MA, USA. sankararaman@genetics.med.harvard.edu
Nick Patterson
Heng Li
Svante Pääbo
David Reich

Funding

Population mixture in evolutionary and medical geneticsR01GM100233 · NIGMS · HARVARD MEDICAL SCHOOL · PI PATTERSON, NICK J, REICH, DAVID E · 2012 to 2019
$2.7M
NIGMS NIH HHS R01 GM100233
6 · The paper itself

Abstract

Comparisons of DNA sequences between Neandertals and present-day humans have shown that Neandertals share more genetic variants with non-Africans than with Africans. This could be due to interbreeding between Neandertals and modern humans when the two groups met subsequent to the emergence of modern humans outside Africa. However, it could also be due to population structure that antedates the origin of Neandertal ancestors in Africa. We measure the extent of linkage disequilibrium (LD) in the genomes of present-day Europeans and find that the last gene flow from Neandertals (or their relatives) into Europeans likely occurred 37,000-86,000 years before the present (BP), and most likely 47,000-65,000 years ago. This supports the recent interbreeding hypothesis and suggests that interbreeding may have occurred when modern humans carrying Upper Paleolithic technologies encountered Neandertals as they expanded out of Africa.

Indexed as

Evolution, MolecularAnimalsBlack PeopleGene FlowGene FrequencyGenomeHumansLinkage DisequilibriumModels, GeneticMutation RateNeanderthalsPolymorphism, Single NucleotideWhite People

Identifiers

PMID23055938
PMCPMC3464203

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.