Evidence map›Paper›PMID 40555717›Full record

ArticleNature communications2025

Ancient DNA reveals diverse community organizations in the 5th millennium BCE Carpathian Basin.

Anna Szécsényi-Nagy, Cristian Virag, Kristóf Jakab, Nadin Rohland, Harald Ringbauer, Alexandra Anders, Pál Raczky, Tamás Hajdu, Krisztián Kiss, Tamás Szeniczey and 9 more

Abstract readHistorical Article
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Anna Szécsényi-NagyInstitute of Archaeogenomics, HUN-REN Research Centre for the Humanities, 1097, Budapest, Hungary. szecsenyi-nagy.anna@abtk.hun-ren.hu.ORCID http://orcid.org/0000-0003-2095-738X
Cristian ViragSatu Mare County Museum, 440031, Satu Mare, Romania.ORCID http://orcid.org/0000-0002-7867-7498
Kristóf JakabInstitute of Archaeogenomics, HUN-REN Research Centre for the Humanities, 1097, Budapest, Hungary.
Nadin RohlandDepartment of Genetics, Harvard Medical School, 02115, Boston, MA, USA.
Harald RingbauerDepartment of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103, Leipzig, Germany.ORCID http://orcid.org/0000-0002-4884-9682
Alexandra AndersInstitute of Archaeological Sciences, ELTE Eötvös Loránd University, 1088, Budapest, Hungary.ORCID http://orcid.org/0000-0001-6652-3902
Pál RaczkyInstitute of Archaeological Sciences, ELTE Eötvös Loránd University, 1088, Budapest, Hungary.ORCID http://orcid.org/0000-0001-5556-723X
Tamás HajduDepartment of Biological Anthropology, Institute of Biology, Faculty of Science, ELTE Eötvös Loránd University, 1117, Budapest, Hungary.ORCID http://orcid.org/0000-0002-3604-1125
Krisztián KissInstitute of Archaeogenomics, HUN-REN Research Centre for the Humanities, 1097, Budapest, Hungary.ORCID http://orcid.org/0000-0002-9371-3397
Tamás SzeniczeyDepartment of Biological Anthropology, Institute of Biology, Faculty of Science, ELTE Eötvös Loránd University, 1117, Budapest, Hungary.
Sándor ÉvingerDepartment of Anthropology, Hungarian Natural History Museum, Hungarian National Museum Public Collection Centre, 1083, Budapest, Hungary.ORCID http://orcid.org/0000-0002-8974-9848
Tamás KesziHungarian Natural History Museum, Hungarian National Museum Public Collection Centre, 1083, Budapest, Hungary.ORCID http://orcid.org/0000-0002-0954-0818
Zsuzsanna M VirágBudapest History Museum, Aquincum Museum, 1031, Budapest, Hungary.
Olivia CheronetDepartment of Evolutionary Anthropology, University of Vienna, 1090, Vienna, Austria.ORCID http://orcid.org/0000-0001-6760-1204
Swapan MallickDepartment of Genetics, Harvard Medical School, 02115, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4531-4439
Ali AkbariDepartment of Genetics, Harvard Medical School, 02115, Boston, MA, USA.
Ron PinhasiDepartment of Evolutionary Anthropology, University of Vienna, 1090, Vienna, Austria.ORCID http://orcid.org/0000-0003-1629-8131
David ReichDepartment of Genetics, Harvard Medical School, 02115, Boston, MA, USA. reich@genetics.med.harvard.edu.ORCID http://orcid.org/0000-0002-7037-5292
Zsuzsanna SiklósiInstitute of Archaeological Sciences, ELTE Eötvös Loránd University, 1088, Budapest, Hungary. siklosi.zsuzsanna@btk.elte.hu.ORCID http://orcid.org/0000-0002-6451-5578

Funding

Solving ascertainment bias in ancient DNA using Ultima Genomics sequencingR01HG012287 · NHGRI · HARVARD MEDICAL SCHOOL · PI REICH, DAVID E · 2021 to 2025
$2.7M
NHGRI NIH HHS R01 HG012287
6 · The paper itself

Abstract

Little is known about the genetic connection system and community organization of Late Neolithic and Early Copper Age populations of the Carpathian Basin. Here, we present a comprehensive genetic investigation of these populations, leveraging whole genome data from 125 individuals. Using population genetics, kinship analyses and the study of networks of identity-by-descent haplotype segment sharing, we elucidate the social and genetic dynamics of these communities between 4800-3900 calibrated years BCE. Despite changes in settlement patterns, burial practices, and material culture, we document a high degree of genetic continuity. While one set of individuals from a large community cemetery is genetically diverse, another site is more homogenous and closed, with numerous consanguineous relationships and evidence of patrilineality and patrilocality. In this work, we document important differences in kinship systems in contemporaneous Early Copper Age communities using similar material culture and living only about 100 km apart.

Indexed as

DNA, AncientGenetics, PopulationGenetic VariationGenome, HumanHaplotypesHistory, AncientHumansMaleDNA, Ancient

Identifiers

PMID40555717
PMCPMC12187924

What OpenQuestion holds

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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.