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A study of the Bodrogköz population in north-eastern Hungary by Y chromosomal haplotypes and haplogroups
Abstract
We have determined the distribution of Y chromosomal haplotypes and haplogroups in population samples from one of the most important areas in north-eastern Hungary from many villages in the Bodrogköz. The Bodrogköz region was chosen due to its isolated nature, because this area was a moorland encircled by the Tisza, Bodrog, and Latorca Rivers and inhabitants of this part of Hungary escaped from both Tatar and Ottoman invasions, which decimated the post-Hungarian Conquest populations in many parts of the country. Furthermore, in the first half of the tenth century, this region served as the Palatial Centre and burial grounds of the Hungarian tribes. It has thus been assumed that the present population in this area is likely to be more similar to the population that lived in the Conquest period. We analysed male-specific markers, 23 Y-STRs and more than 30 Y-SNPs, that reflect the past and recent genetic history. We found that the general haplogroup distribution of the samples showed high genetic similarity to non-Bodrogköz Hungarians and neighbouring populations, despite its sheltered location and historical record. We were able to classify the Y-chromosomal haplogroups into four large groups based on STR mutation events: pre-Roman/Roman ancient lineage, Finno-Ugric speakers arriving into the Carpathian Basin, Migration period admixture, and post-Hungarian Conquest admixture. It is clear that a significantly larger database with deep haplogroup resolution, including ancient DN…
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“Other specialized databases have been developed recently in this regard (e.g. (122–126)), starting off from human-centered research questions and expanding to examples of many other species, such as the tobacco plant (127), Trichophytum rubrum, a fungus causing skin disease (128), or the Cannabis plant to characterize the origin of hemp seeds (US Cannabis DNA database; (129)).”
From Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases (2019) · cites this paper as [126]
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Cited by
Tørresen, O. K., Star, B., Mier, P., Andrade-Navarro, M. A., Bateman, A., Jarnot, P., Gruca, A., Grynberg, M., Kajava, A. V., Promponas, V. J., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz841 · Cited by 347
Metadata
- Authors
- Pamjav, H., Fóthi, Á., Fehér, T., & Fóthi, E.
- Venue
- Molecular Genetics and Genomics
- Published
- 2017-04-13
- Volume
- 292
- Issue
- 4
- Pages
- 883-894
- ISSN
- 1617-4615
- 1617-4623
- Cited by
- 23
- References
- 0
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
- Funders
- Professor Miklós Maróth (GF/JSZF/814/9/2015)
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