Evidence map›Paper›PMID 42066044›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

An inverse correlation between structural linguistic and human genetic diversity.

Anna Graff, Erik J Ringen, Taras Zakharko, Mark Stoneking, Kentaro K Shimizu, Balthasar Bickel, Chiara Barbieri

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Anna GraffInstitute for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich 8050, Switzerland.ORCID 0000-0002-7703-3471
Erik J RingenLinguistic Research Infrastructure, University of Zurich, Zurich 8050, Switzerland.
Taras ZakharkoInstitute for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich 8050, Switzerland.ORCID 0000-0001-7601-8424
Mark StonekingDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany.ORCID 0000-0001-9044-6679
Kentaro K ShimizuDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich 8057, Switzerland.ORCID 0000-0002-6483-1781
Balthasar Bickel *Institute for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich 8050, Switzerland.ORCID 0000-0002-9087-0565
Chiara Barbieri *Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich 8057, Switzerland.

Funding

National Centre of Competence in Research Evolving Language (NCCR Evolving Language) 51NF40_180888Swiss NSF 183578
6 · The paper itself

Abstract

Linguistic structures show uneven global distributions, but it remains unknown to what extent such distributions are driven by human population history at a global scale. Here, we track population history through population genetics and show that, adjusting for geography, phylogeny, and environment, genetic diversity (in terms of local homozygosity modeled across individuals) is inversely correlated with linguistic diversity (in terms of local entropy of structural features modeled across languages). This inverse correlation arises from the parallel impact of isolation vs. contact on both genomic and structural linguistic diversity: Isolation leads to low genetic diversity and promotes structural linguistic diversification, while contact and migration yield higher genetic diversity and promote linguistic homogenization. The extent of the correlation varies across world regions and aspects of language, but its overall global robustness highlights how hotspots of linguistic diversity can serve as a compelling example of the flexibility of human language, since they have been less affected by the increase of contact and migration that occurred over recent millennia and homogenized linguistic structures.

Indexed as

Genetic VariationLanguageLinguisticsGenetics, PopulationHumansPhylogenylanguage contactlinguistic diversitypopulation genetics

Identifiers

PMID42066044
PMCPMC13142977

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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.