Evidence map›Paper›PMID 40880463›Full record

ArticleScience advances2025

Patterns of genetic admixture reveal similar rates of borrowing across diverse scenarios of language contact.

Anna Graff, Damián E Blasi, Erik J Ringen, Vladimir Bajić, Daphné Bavelier, Kentaro K Shimizu, Brigitte Pakendorf, Chiara Barbieri, Balthasar Bickel

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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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3 · Its place in the literature

Who cites it

1 citing paper 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
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

9 authors.

Anna GraffInstitute for the Interdisciplinary Study of Language Evolution (ISLE), University of Zurich, Zurich 8050, Switzerland.ORCID 0000-0002-7703-3471
Damián E BlasiCatalan Institute for Research and Advanced Studies (ICREA), Barcelona 08010, Spain.ORCID 0000-0002-9885-1414
Erik J RingenLinguistic Research Infrastructure (LiRI), University of Zurich, Zurich 8050, Switzerland.
Vladimir BajićHuman Biology and Primate Evolution, Freie Universität Berlin, Berlin 14195, Germany.ORCID 0000-0002-9922-7154
Daphné BavelierFaculté de Psychologie et des Sciences de l'Education, Université de Genève, Geneva 1202, Switzerland.ORCID 0000-0002-5904-1240
Kentaro K ShimizuInstitute for the Interdisciplinary Study of Language Evolution (ISLE), University of Zurich, Zurich 8050, Switzerland.ORCID 0000-0002-6483-1781
Brigitte PakendorfLaboratoire Dynamique Du Langage, CNRS & Université Lumière Lyon 2, Lyon 69007, France.
Chiara BarbieriDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich 8057, Switzerland.ORCID 0000-0001-8827-5655
Balthasar BickelInstitute for the Interdisciplinary Study of Language Evolution (ISLE), University of Zurich, Zurich 8050, Switzerland.ORCID 0000-0002-9087-0565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When speakers of different languages are in contact, they often borrow features like sounds, words, or syntactic patterns from one language to the other. However, the lack of historical data has hampered estimation of this effect at a global scale. We overcome this hurdle by using genetic admixture and shared geohistorical location as a proxy for population contact. We find that language pairs whose speaker populations underwent genetic admixture or that are located in the same geohistorical area exhibit notable similar increases in shared linguistic patterns across world regions and different demographic relationships, suggesting a consistent trend in borrowing rates. At the same time, the effect varies strongly across specific linguistic features. This variation is only partly explained by cognitive differences in lifelong learnability and by social functions of signaling assimilation through borrowing, leaving much randomness in which specific features are borrowed. Additionally, we find that, for some features, admixture decreases sharing, likely reflecting signals of divergence (schismogenesis) under contact.

Indexed as

LanguageHumansLinguistics

Identifiers

PMID40880463
PMCPMC12396315

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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.