Evidence map›Paper›PMID 32095519›Full record

ArticleScience advances2020

Recovering signals of ghost archaic introgression in African populations.

Arun Durvasula, Sriram Sankararaman

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Pan-African model explainsbioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Archaic hominin admixture and its consequences for modern humans.Current opinion in genetics & development · 2025
    Review
  19. Dentition of the Mugharet El'Aliya Fossil Human Maxilla, Morocco.American journal of biological anthropology · 2025
    Article
  20. Article

11 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

2 authors.

Arun DurvasulaDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-0631-3238
Sriram SankararamanDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-1586-9641

Funding

Statistical Models for Dissecting Human Population Admixture and its Role in Evolution and DiseaseR35GM125055 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SANKARARAMAN, SRIRAM · 2017 to 2021
$1.6M
Statistical methods to infer structure and impact of ancient admixtureR00GM111744 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SANKARARAMAN, SRIRAM · 2016 to 2017
$498k
NIGMS NIH HHS R00 GM111744NIGMS NIH HHS R35 GM125055
6 · The paper itself

Abstract

While introgression from Neanderthals and Denisovans has been documented in modern humans outside Africa, the contribution of archaic hominins to the genetic variation of present-day Africans remains poorly understood. We provide complementary lines of evidence for archaic introgression into four West African populations. Our analyses of site frequency spectra indicate that these populations derive 2 to 19% of their genetic ancestry from an archaic population that diverged before the split of Neanderthals and modern humans. Using a method that can identify segments of archaic ancestry without the need for reference archaic genomes, we built genome-wide maps of archaic ancestry in the Yoruba and the Mende populations. Analyses of these maps reveal segments of archaic ancestry at high frequency in these populations that represent potential targets of adaptive introgression. Our results reveal the substantial contribution of archaic ancestry in shaping the gene pool of present-day West African populations.

Indexed as

Genetics, PopulationBlack PeopleEthnicityGene FrequencyHumansPhylogeny

Identifiers

PMID32095519
PMCPMC7015685

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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.