2023 / 03

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DOI: 10.24075/brsmu.2023.017

ORIGINAL RESEARCH

The role of Caucasian, Iranian and Steppe populations in shaping the diversity of autosomal gene pool of the Eastern Caucasus

Balanovska EV1,2, Gorin IO1, Petrushenko VS1, Ponomarev GYu1, Belov RO1, Pocheshkhova EA1,3, Salaev VA1, Iskandarov NA1, Pylev VYu1,2
About authors

1 Bochkov Research Centre of Medical Genetics, Moscow, Russia

2 Biobank of North Eurasia, Moscow, Russia

3 Kuban State Medical University, Krasnodar, Russia

Correspondence should be addressed: Vladimir Yu. Pylev
Moskvorechye, 1, 115522, Moscow, Russia; ur.xednay@tsurteerf

About paper

Funding: the study was supported by the RSF grant № 21-74-00156 (bioinformatics analysis of gene pools of the Eastern Caucasus and Transcaucasia), State Assignment of the Ministry of Science and Higher Education of the Russian Federation for the Research Centre of Medical Genetics (cartographic analysis, data interpretation), Biobank of North Eurasia (expedition survey).

Acknowledgements: the authors would like to thank all members of the expedition survey (sample donors) and the autonomous non-profit organization “Biobank of North Eurasia” for access to DNA collections and the genotyping results.

Author contribution: Balanovska EV — management, design, manuscript writing and expedition survey of the Dagestani peoples; Gorin IO, Petrushenko VS — bioinformatics analysis; Ponomarev GYu — work with DNA collections, cartographic analysis; Belov RO — work with DNA collections, manuscript formatting; Pocheshkhova EA — expedition survey of the Dagestani peoples; Salaev VA — organization and conducting the expedition survey of the Talysh living in Azerbaijan; Iskandarov NA — organization and conducting the expedition survey of the Azerbaijanis living in Azerbaijan; Pylev VYu — organization of genotyping, statistical analysis.

Compliance with ethical standards: the study was approved by the Ethics Commitee of the Bochkov Research Centre of Medical Genetics (protocol № 1 of 29 June 2020).

Received: 2023-04-26 Accepted: 2023-05-13 Published online: 2023-05-29
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  1. Yunusbayev B, Metspalu M, Järve M, Kutuev I, Rootsi S, Metspalu E, et al. The Caucasus as an asymmetric semipermeable barrier to ancient human migrations. Molecular biology and evolution. 2012; 29 (1): 359–65.
  2. Jeong C, Balanovsky O, Lukianova E, Kahbatkyzy N, Flegontov P, Zaporozhchenko V, at al. The genetic history of admixture across inner Eurasia. Nature ecology & evolution. 2019; 3 (6): 966–76.
  3. Yunusbayev B, Metspalu M, Metspalu E, Valeev A, Litvinov S, Valiev R, at al. The genetic legacy of the expansion of Turkicspeaking nomads across Eurasia. PLoS Genetics. 2015; 11 (4): e1005068.
  4. Behar DM, Metspalu M, Baran Y, Kopelman NM, Yunusbayev B, Gladstein A, et al. No evidence from genome-wide data of a Khazar origin for the Ashkenazi Jews. Human biology. 2013; 85 (6): 859–900.
  5. Lazaridis I, Patterson N, Mittnik A, Renaud G, Mallick S, Kirsanow K, et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature. 2014; 513 (7518): 409–13.
  6. Fattahi Z, Beheshtian M, Mohseni M, Poustchi H, Sellars E, Nezhadi SH, et al. Iranome: A catalog of genomic variations in the Iranian population. Human mutation. 2019; 40 (11): 1968–84.
  7. Kars ME, Başak AN, Onat OE, Bilguvar K, Choi J, Itan Y, et al. The genetic structure of the Turkish population reveals high levels of variation and admixture. Proceedings of the National Academy of Sciences. 2021; 118 (36): e2026076118.
  8. Balanovska EV, Agdzhoyan AT, Gorin IO, Petrushenko VS, Pylev VY, Kulemin NA, i dr. V poiskax alanskogo sleda: geneticheskaya istoriya Severnogo Kavkaza po polnogenomnym dannym ob autosomnom genofonde. Vestnik Moskovskogo universiteta. Seriya 23. Antropologiya. 2022 (3): 4–62. Russian.
  9. Behar DM, Yunusbayev B, Metspalu M, Metspalu E, Rosset S, Parik J, et al. The genome-wide structure of the Jewish people. Nature. 2010; 466 (7303): 238–42.
  10. Chang CC, Chow CC, Tellier LC, Vattikuti S, Purcell SM, Lee JJ. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience. 2015; 4: 1–16.
  11. Manichaikul A, Mychaleckyj JC, Rich SS, Daly K, Sale M, Chen WM. Robust relationship inference in genome-wide association studies. Bioinformatics. 2010; 26 (22): 2867–73.
  12. Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D. Principal components analysis corrects for stratification in genome-wide association studies. Nature genetics. 2006; 38 (8): 904–9.
  13. McKinney W. Data structures for statistical computing in python. InProceedings of the 9th Python in Science Conference. 2010; 28–445 (1): 51–56.
  14. Hunter JD. Matplotlib: A 2D graphics environment. Computing in science & engineering. 2007; 9 (03): 90–5.
  15. Waskom M, Botvinnik O, O'Kane D, Hobson P, Lukauskas S, Gemperline DC, et al. Mwaskom/Seaborn: V0. 8.1. Zenodo. 2017.
  16. Alexander DH, Novembre J, Lange K. Fast model-based estimation of ancestry in unrelated individuals. Genome research. 2009; 19 (9): 1655–64.