Evidence map›Paper›PMID 42477018›Full record

ArticleScientific reports2026

Genomic insights into the Iron Age Saka of Boz-Barmak, Kyrgyzstan.

Aigerim Rymbekova, Pere Gelabert, Alejandro Llanos-Lizcano, Kaaviya Balakrishnan, Michelle Hämmerle, Sojung Han, Olivia Cheronet, Aida Abdykanova, Keldibek Kasymkulov, Michelle Hrivnyak and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 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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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Aigerim RymbekovaDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria. aigerim.rymbekova@univie.ac.at.ORCID https://orcid.org/0009-0001-5461-5161
Pere GelabertDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Alejandro Llanos-LizcanoDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Kaaviya BalakrishnanDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Michelle HämmerleDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Sojung HanDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Olivia CheronetDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Aida AbdykanovaDepartment of Anthropology, American University of Central Asia, Bishkek, Kyrgyz Republic.
Keldibek KasymkulovJusup Balasagyn Kyrgyz National University, Bishkek, Kyrgyz Republic.
Michelle HrivnyakInstitute for Intercultural and Anthropological Studies, Western Michigan University, Kalamazoo, MI, USA.
Jacqueline T EngDepartment of Biological Sciences, Western Michigan University, Kalamazoo, MI, USA.
Ron PinhasiDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Martin KuhlwilmDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria. martin.kuhlwilm@univie.ac.at.

Funding

Austrian Science Fund 10.55776/ESP546Austrian Science Fund 10.55776/P36433European Research Council 101163057National Science Foundation 2141844Vienna Science and Technology Fund 10.47379/VRG20001
6 · The paper itself

Abstract

The nomadic cultures of the Iron Age played an important role in shaping the genetic and cultural landscape of Eurasian populations. Yet despite its key geographical location, the Central Eurasian region remains underrepresented in ancient DNA studies of humans. We address this gap through genomic analysis of 12 individuals from the Boz-Barmak burial site in Kyrgyzstan associated with Saka pastoralists (4th-2nd centuries BCE), 9 of which yielded low-coverage genomes (on average 0.7-fold coverage). Genetic clustering analysis placed these individuals within the genetic variation of ancient and modern Central Eurasian and Siberian populations. We found no evidence of first-degree relatives in a kinship analysis, however a network of second- and third-degree relationships seems to be present. Notably, all male individuals share the same Y-chromosomal haplotype, common in present-day Kyrgyz groups, while mitochondrial DNA showed comparably high diversity, with distinct haplogroups observed across the analysed individuals. These findings are in line with archaeological and ethnographic evidence of patrilocality in Early Iron Age Saka, where male lineages remained stable across generations, while female mobility contributed to genetic diversity. Our study complements our understanding of the interplay between kinship, social organisation and population history in nomadic cultures.

Indexed as

Ancient DNACentral EurasiaGenetic diversityHuman population historyKinship and social organisation

Identifiers

PMID42477018
PMCPMC13683032

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