Evidence map›Paper›PMID 29234095›Full record

ArticleScientific reports2017

Enclaves of genetic diversity resisted Inca impacts on population history.

Chiara Barbieri, José R Sandoval, Jairo Valqui, Aviva Shimelman, Stefan Ziemendorff, Roland Schröder, Maria Geppert, Lutz Roewer, Russell Gray, Mark Stoneking and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
9.3field-weighted citation impact, top 2% of its field
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

11 citing papers in PubMed, 122 citations in OpenAlex.

  1. Genetic ancestry of families of putative Inka descent.Molecular genetics and genomics : MGG · 2018
    Trial
  2. Article
  3. Article
  4. A genomic perspective on South American human history.Genetics and molecular biology · 2022
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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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

12 authors at 5 institutions in 2 countries.

Chiara BarbieriDepartment of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, D-07745, Jena, Germany. barbieri.chiara@gmail.com.ORCID 0000-0001-8827-5655
José R SandovalCentro de Investigación de Genética y Biología Molecular (CIGBM) Universidad de San Martín de Porres, Lima, Peru.ORCID 0000-0003-2673-4937
Jairo ValquiDepartamento de Lingüística, Universidad Nacional Mayor de San Marcos, Lima, Peru.ORCID 0000-0003-1992-9795
Aviva ShimelmanDepartment of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, D-07745, Jena, Germany.
Stefan ZiemendorffIndependent researcher, Chachapoyas (city), Chachapoyas, Peru.
Roland SchröderDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Maria GeppertInstitute of Legal Medicine and Forensic Sciences, Department of Forensic Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Lutz RoewerInstitute of Legal Medicine and Forensic Sciences, Department of Forensic Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Russell GrayDepartment of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, D-07745, Jena, Germany.
Mark StonekingDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Ricardo FujitaCentro de Investigación de Genética y Biología Molecular (CIGBM) Universidad de San Martín de Porres, Lima, Peru.
Paul HeggartyDepartment of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, D-07745, Jena, Germany. paul.heggarty@gmail.com.
Max Planck Institute for the Science of Human History · DEBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DEMax Planck Institute for Evolutionary Anthropology · DEUniversidad de San Martín de Porres · PENational University of San Marcos · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Inca Empire is claimed to have driven massive population movements in western South America, and to have spread Quechua, the most widely-spoken language family of the indigenous Americas. A test-case is the Chachapoyas region of northern Peru, reported as a focal point of Inca population displacements. Chachapoyas also spans the environmental, cultural and demographic divides between Amazonia and the Andes, and stands along the lowest-altitude corridor from the rainforest to the Pacific coast. Following a sampling strategy informed by linguistic data, we collected 119 samples, analysed for full mtDNA genomes and Y-chromosome STRs. We report a high indigenous component, which stands apart from the network of intense genetic exchange in the core central zone of Andean civilization, and is also distinct from neighbouring populations. This unique genetic profile challenges the routine assumption of large-scale population relocations by the Incas. Furthermore, speakers of Chachapoyas Quechua are found to share no particular genetic similarity or gene-flow with Quechua speakers elsewhere, suggesting that here the language spread primarily by cultural diffusion, not migration. Our results demonstrate how population genetics, when fully guided by the archaeological, historical and linguistic records, can inform multiple disciplines within anthropology.

Indexed as

Genetic VariationAcculturationChromosomes, Human, YComputer SimulationDNA, MitochondrialGenetic LociGenome, MitochondrialHaplotypesHuman MigrationHumansIndians, South AmericanLanguageMaleMicrosatellite RepeatsPeruPhylogenyDNA, Mitochondrial

Identifiers

PMID29234095
PMCPMC5727115
OpenAlexW2774346439

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.