Molecular Genetics and Genomics

, Volume 292, Issue 1, pp 201–214 | Cite as

Genetic structure of the early Hungarian conquerors inferred from mtDNA haplotypes and Y-chromosome haplogroups in a small cemetery

  • Endre Neparáczki
  • Zoltán Juhász
  • Horolma Pamjav
  • Tibor Fehér
  • Bernadett Csányi
  • Albert Zink
  • Frank Maixner
  • György Pálfi
  • Erika Molnár
  • Ildikó Pap
  • Ágnes Kustár
  • László Révész
  • István Raskó
  • Tibor Török
Original Article

Abstract

We applied ancient DNA methods to shed light on the origin of ancient Hungarians and their relation to modern populations. Hungarians moved into the Carpathian Basin from the Eurasian Pontic steppes in the year 895 AD as a confederation of seven tribes, but their further origin remains obscure. Here, we present 17 mtDNA haplotypes and four Y-chromosome haplogroups, which portray the genetic composition of an entire small cemetery of the first generation Hungarians. Using novel algorithms to compare these mitochondrial DNA haplogroups with other ancient and modern Eurasian data, we revealed that a significant portion of the Hungarians probably originated from a long ago consolidated gene pool in Central Asia-South Siberia, which still persists in modern Hungarians. Another genetic layer of the early Hungarians was obtained during their westward migrations by admixing with various populations of European origin, and an important component of these was derived from the Caucasus region. Most of the modern populations, which are genetically closest relatives of ancient Hungarians, today speak non-Indo-European languages. Our results contribute to our understanding of the peopling of Europe by providing ancient DNA data from a still genetically poorly studied period of medieval human migrations.

Keywords

Ancient DNA Early Hungarian Iterative rank correlation Self-organizing cloud algorithm MDS mapping 

Supplementary material

438_2016_1267_MOESM1_ESM.xlsx (20 kb)
Online Resource 1 (ESM_1): Results of mtDNA SNP typing using the GenoCoRe22 assay (XLSX 19 kb)
438_2016_1267_MOESM2_ESM.xlsx (17 kb)
Online Resource 2 (ESM_2): Results of Y-chromosome SNP typing using the GenoY25 assay (XLSX 16 kb)
438_2016_1267_MOESM3_ESM.xlsx (13 kb)
Online Resource 3 (ESM_3): Results of the autosomal STR analysis obtained with the PowerPlex ESX 17 system and Y-chromosomal STR results obtained with the PowerPlex Y23 amplification kit (XLSX 13 kb)
438_2016_1267_MOESM4_ESM.xlsx (57 kb)
Online Resource 4 (ESM_4): Haplogroup frequency database of 111 modern (n = 20748) and 35 ancient (n = 1072) Eurasian populations used in the population genetic analyses, with references (XLSX 57 kb)
438_2016_1267_MOESM5_ESM.jpg (486 kb)
Online Resource 5 (ESM_5): Mean Hg distributions of the seven clusters created by the SOC algorithm, and list of populations belonging to the clusters (JPEG 486 kb)
438_2016_1267_MOESM6_ESM.xls (398 kb)
Online Resource 6 (ESM_6): Weighted Euclidean distances of Hg distributions of 111 modern and 35 ancient populations listed in Online Resource 4 (ESM_4) calculated with the MDS algorithm (XLS 398 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Endre Neparáczki
    • 1
  • Zoltán Juhász
    • 2
  • Horolma Pamjav
    • 3
  • Tibor Fehér
    • 3
  • Bernadett Csányi
    • 4
  • Albert Zink
    • 5
  • Frank Maixner
    • 5
  • György Pálfi
    • 6
  • Erika Molnár
    • 6
  • Ildikó Pap
    • 7
  • Ágnes Kustár
    • 7
  • László Révész
    • 8
  • István Raskó
    • 9
  • Tibor Török
    • 1
  1. 1.Department of GeneticsUniversity of SzegedSzegedHungary
  2. 2.Hungarian Academy of SciencesCentre for Energy ResearchBudapestHungary
  3. 3.DNA Laboratory, Network of Forensic Science InstitutesMinistry of JusticeBudapestHungary
  4. 4.Department of Forensic MedicineUniversity of SzegedSzegedHungary
  5. 5.Institute for Mummies and the Iceman EURACBolzanoItaly
  6. 6.Department of Biological AnthropologyUniversity of SzegedSzegedHungary
  7. 7.Department of AnthropologyHungarian Natural History Museum BudapestBudapestHungary
  8. 8.Department of ArchaeologyUniversity of SzegedSzegedHungary
  9. 9.Institute of Genetics, Biological Research CentreSzegedHungary

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