Characterization of Danube Swabian population samples on a high-resolution genome-wide basis.

Autor: Bánfai Z; Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, H-7624, Pécs, Hungary. banfai.zsolt@pte.hu.; Szentágothai Research Centre, University of Pécs, Ifjúság út 20, H-7624, Pécs, Hungary. banfai.zsolt@pte.hu., Kövesdi E; Szentágothai Research Centre, University of Pécs, Ifjúság út 20, H-7624, Pécs, Hungary.; Institute of Physiology, Medical School, Hungary, University of Pécs, Ifjúság út 12, H-7624, Pécs, Hungary., Sümegi K; Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, H-7624, Pécs, Hungary.; Szentágothai Research Centre, University of Pécs, Ifjúság út 20, H-7624, Pécs, Hungary.; Department of Biochemistry and Medical Chemistry, Medical School, University of Pécs, Szigeti út 12, H-7624, Pécs, Hungary., Büki G; Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, H-7624, Pécs, Hungary.; Szentágothai Research Centre, University of Pécs, Ifjúság út 20, H-7624, Pécs, Hungary., Szabó A; Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, H-7624, Pécs, Hungary.; Szentágothai Research Centre, University of Pécs, Ifjúság út 20, H-7624, Pécs, Hungary., Magyari L; Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, H-7624, Pécs, Hungary.; Szentágothai Research Centre, University of Pécs, Ifjúság út 20, H-7624, Pécs, Hungary., Ádám V; Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, H-7624, Pécs, Hungary., Pálos F; Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, H-7624, Pécs, Hungary., Miseta A; Department of Laboratory Medicine, Medical School, University of Pécs, Ifjúság út 13, H-7624, Pécs, Hungary., Kásler M; National Institute of Oncology, Ráth György u. 7-9, H-1122, Budapest, Hungary., Melegh B; Department of Medical Genetics, Medical School, University of Pécs, Szigeti út 12, H-7624, Pécs, Hungary. melegh.bela@pte.hu.; Szentágothai Research Centre, University of Pécs, Ifjúság út 20, H-7624, Pécs, Hungary. melegh.bela@pte.hu.
Jazyk: angličtina
Zdroj: BMC genomics [BMC Genomics] 2023 Jan 09; Vol. 24 (1), pp. 9. Date of Electronic Publication: 2023 Jan 09.
DOI: 10.1186/s12864-022-09092-5
Abstrakt: Background: German-derived ethnicities are one of the largest ethnic groups in Hungary, dating back to the formation of the Kingdom of Hungary, which took place at the beginning of the 11th century. Germans arrived in Hungary in many waves. The most significant immigration wave took place following the collapse of the Ottoman Empire in East-Central Europe which closed the 150 year long Ottoman occupation. To date, there are no comprehensive genome-wide studies investigating the genetic makeup of the Danube Swabians. Here we analyzed 47 Danube Swabian samples collected from elderly Swabian individuals living in the Dunaszekcső-Bár area, in Danube side villages of Southwest Hungary. These Swabians, according to self-declaration, did not admix with other ethnic groups for 3-6 succeeding generations. Using Illumina Infinium 720 K Beadchip genotype data, we applied allele frequency-based and haplotype-based genome-wide marker data analyses to investigate the ancestry and genetic composition of the collected Danube Swabian samples.
Results: Haplotype-based analyses like identity by descent segment analysis show that the investigated Danube Swabians possess significant German and other West European ancestry, but their Hungarian ancestry is also prominent. Our results suggest that their main source of ancestry can be traced back to Western Europe, presumably to the region of Germany.
Conclusion: This is the first analysis of Danube Swabian population samples based on genome-wide autosomal data. Our results establish the basis for conducting further comprehensive research on Danube Swabians and on other German ethnicities of the Carpathian basin, which can help reconstruct their origin, and identify their major archaic genomic patterns.
(© 2023. The Author(s).)
Databáze: MEDLINE
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