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Contrasting patterns of Y-chromosome variation in South Siberian populations from Baikal and Altai-Sayan regions

Overview of attention for article published in Human Genetics, October 2005
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Title
Contrasting patterns of Y-chromosome variation in South Siberian populations from Baikal and Altai-Sayan regions
Published in
Human Genetics, October 2005
DOI 10.1007/s00439-005-0076-y
Pubmed ID
Authors

Miroslava Derenko, Boris Malyarchuk, Galina A. Denisova, Marcin Wozniak, Irina Dambueva, Choduraa Dorzhu, Faina Luzina, Danuta Miścicka-Śliwka, Ilia Zakharov

Abstract

In order to investigate the genetic history of autochthonous South Siberian populations and to estimate the contribution of distinct patrilineages to their gene pools, we have analyzed 17 Y-chromosomal binary markers (YAP, RPS4Y(711), SRY-8299, M89, M201, M52, M170, 12f2, M9, M20, 92R7, SRY-1532, DYS199, M173, M17, Tat, and LLY22 g) in a total sample of 1,358 males from 14 ethnic groups of Siberia (Altaians-Kizhi, Teleuts, Shors, Tuvinians, Todjins, Tofalars, Sojots, Khakassians, Buryats, Evenks), Central/Eastern Asia (Mongolians and Koreans) and Eastern Europe (Kalmyks and Russians). Based on both, the distribution pattern of Y-chromosomal haplogroups and results on AMOVA analysis we observed the statistically significant genetic differentiation between the populations of Baikal and Altai-Sayan regions. We suggest that these regional differences can be best explained by different contribution of Central/Eastern Asian and Eastern European paternal lineages into gene pools of modern South Siberians. The population of the Baikal region demonstrates the prevalence of Central/Eastern Asian lineages, whereas in the populations of Altai and Sayan regions the highest paternal contribution resulted from Eastern European descent is revealed. Yet, our data on Y-chromosome STRs variation demonstrate the clear differences between the South Siberian and Eastern European R1a1-lineages with the evolutionary ages compatible with divergence time between these two regional groups.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
France 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 30%
Student > Ph. D. Student 8 20%
Student > Master 5 13%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Other 7 18%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 43%
Biochemistry, Genetics and Molecular Biology 12 30%
Social Sciences 3 8%
Arts and Humanities 2 5%
Medicine and Dentistry 2 5%
Other 1 3%
Unknown 3 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 March 2024.
All research outputs
#7,730,464
of 23,509,982 outputs
Outputs from Human Genetics
#960
of 2,993 outputs
Outputs of similar age
#21,239
of 61,179 outputs
Outputs of similar age from Human Genetics
#7
of 21 outputs
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