Evidence map›Paper›PMID 36399547›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

A global analysis of matches and mismatches between human genetic and linguistic histories.

Chiara Barbieri, Damián E Blasi, Epifanía Arango-Isaza, Alexandros G Sotiropoulos, Harald Hammarström, Søren Wichmann, Simon J Greenhill, Russell D Gray, Robert Forkel, Balthasar Bickel and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

14 citing papers in PubMed.

  1. An inverse correlation between structural linguistic and human genetic diversity.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Half a century of quantitative cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Language: Its Origin and Ongoing Evolution.Journal of Intelligence · 2023
    Review
  14. 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

11 authors.

Chiara BarbieriDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich 8057, Switzerland.ORCID 0000-0001-8827-5655
Damián E BlasiDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany.ORCID 0000-0002-9885-1414
Epifanía Arango-IsazaDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich 8057, Switzerland.ORCID 0000-0002-8871-7027
Alexandros G SotiropoulosDepartment of Plant and Microbial Biology, University of Zurich, Zurich 8008, Switzerland.ORCID 0000-0002-3591-0851
Harald HammarströmDepartment of Linguistics and Philology, University of Uppsala, Uppsala 75126, Sweden.ORCID 0000-0003-0120-6396
Søren WichmannCluster of Excellence ROOTS, Kiel University, Kiel 24118, Germany.ORCID 0000-0002-3257-3087
Simon J GreenhillDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany.ORCID 0000-0001-7832-6156
Russell D GrayDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany.ORCID 0000-0002-9858-0191
Robert ForkelDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany.ORCID 0000-0003-1081-086X
Balthasar BickelCenter for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich 8050, Switzerland.ORCID 0000-0002-9087-0565
Kentaro K ShimizuDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich 8057, Switzerland.ORCID 0000-0002-6483-1781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human history is written in both our genes and our languages. The extent to which our biological and linguistic histories are congruent has been the subject of considerable debate, with clear examples of both matches and mismatches. To disentangle the patterns of demographic and cultural transmission, we need a global systematic assessment of matches and mismatches. Here, we assemble a genomic database (GeLaTo, or Genes and Languages Together) specifically curated to investigate genetic and linguistic diversity worldwide. We find that most populations in GeLaTo that speak languages of the same language family (i.e., that descend from the same ancestor language) are also genetically highly similar. However, we also identify nearly 20% mismatches in populations genetically close to linguistically unrelated groups. These mismatches, which occur within the time depth of known linguistic relatedness up to about 10,000 y, are scattered around the world, suggesting that they are a regular outcome in human history. Most mismatches result from populations shifting to the language of a neighboring population that is genetically different because of independent demographic histories. In line with the regularity of such shifts, we find that only half of the language families in GeLaTo are genetically more cohesive than expected under spatial autocorrelations. Moreover, the genetic and linguistic divergence times of population pairs match only rarely, with Indo-European standing out as the family with most matches in our sample. Together, our database and findings pave the way for systematically disentangling demographic and cultural history and for quantifying processes of shifts in language and social identities on a global scale.

Indexed as

Genetic VariationLinguisticsHuman GeneticsHumansLanguagecultural evolutionlanguagesmolecular anthropologypopulation genetics

Identifiers

PMID36399547
PMCPMC9704691

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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.