Evidence map›Paper›PMID 26607180›Full record

ArticleJournal of human genetics2016

Coevolution of genes and languages and high levels of population structure among the highland populations of Daghestan.

Tatiana M Karafet, Kazima B Bulayeva, Johanna Nichols, Oleg A Bulayev, Farida Gurgenova, Jamilia Omarova, Levon Yepiskoposyan, Olga V Savina, Barry H Rodrigue, Michael F Hammer

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In one paragraph

Article in Journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

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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

10 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Genetic and linguistic comparisons reveal complex sex-biased transmission of language features.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Article
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  6. Article
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  9. Cultural evolutionary theory: How culture evolves and why it matters.Proceedings of the National Academy of Sciences of the United States of America · 2017
    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

10 authors at 5 institutions in 3 countries.

Tatiana M KarafetARL Division of Biotechnology, University of Arizona, Tucson, AZ, USA.
Kazima B BulayevaVavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.
Johanna NicholsDepartment of Slavic Languages and Literatures, University of California, Berkeley, CA, USA.
Oleg A BulayevVavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.
Farida GurgenovaVavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.
Jamilia OmarovaVavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.
Levon YepiskoposyanInstitute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia.
Olga V SavinaARL Division of Biotechnology, University of Arizona, Tucson, AZ, USA.
Barry H RodrigueInstitute of Oriental Studies, Russian Academy of Sciences, Moscow, Russia.
Michael F HammerARL Division of Biotechnology, University of Arizona, Tucson, AZ, USA.
Vavilov Institute of General Genetics · RUUniversity of Arizona · USInstitute of Molecular Biology · AMInstitute of Oriental Studies · RUUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a result of the combination of great linguistic and cultural diversity, the highland populations of Daghestan present an excellent opportunity to test the hypothesis of language-gene coevolution at a fine geographic scale. However, previous genetic studies generally have been restricted to uniparental markers and have not included many of the key populations of the region. To improve our understanding of the genetic structure of Daghestani populations and to investigate possible correlations between genetic and linguistic variation, we analyzed ~550,000 autosomal single nucleotide polymorphisms, phylogenetically informative Y chromosome markers and mtDNA haplotypes in 21 ethnic Daghestani groups. We found high levels of population structure in Daghestan consistent with the hypothesis of long-term isolation among populations of the highland Caucasus. Highland Daghestani populations exhibit extremely high levels of between-population diversity for all genetic systems tested, leading to some of the highest FST values observed for any region of the world. In addition, we find a significant positive correlation between gene and language diversity, suggesting that these two aspects of human diversity have coevolved as a result of historical patterns of social interaction among highland farmers at the community level. Finally, our data are consistent with the hypothesis that most Daghestanian-speaking groups descend from a common ancestral population (~6000-6500 years ago) that spread to the Caucasus by demic diffusion followed by population fragmentation and low levels of gene flow.

Indexed as

Evolution, MolecularGenetics, PopulationLinguisticsChromosomes, Human, YDagestanDNA, MitochondrialGenetic MarkersHaplotypesHumansPhylogenyPolymorphism, Single NucleotidePrincipal Component AnalysisDNA, MitochondrialGenetic Markers

Identifiers

PMID26607180
OpenAlexW2299146578

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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.