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Territorial Subdivision of the Megalopolis Population by the Ethnic Trait in Relation to the Problem of Creating Genetic Databases. St. Petersburg

  • HUMAN GENETICS
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Abstract

On the basis of the materials of the 2010 All-Russia Population Census in St. Petersburg, an analysis of uneven settlement of ethnic groups over the city districts was carried out. Maps reflecting the ethnic topography of the megalopolis have been constructed. Using the trait “ethnicity” as a quasi-genetic marker, territorial stratification of the megacity population was assessed on two levels of population structure: for the level of large units (districts), Fst = 0.310 × 10–2; for the level of small units (municipalities), Fst = 0.659 × 10–2. Sections of the city characterized by the greatest ethnic diversity were identified. These results should be taken into account when forming databases for the purposes of DNA-based identification in the population of St. Petersburg.

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Funding

This study was performed as a part of the governmental program of the Vavilov Institute of General Genetics, project no. 0112-2019-0001 “Genomic Research and Genetic Polymorphism of Cells, Organisms, and Populations.”

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Authors and Affiliations

  1. Vavilov Institute of General Genetics Russian Academy of Sciences, 119991, Moscow, Russia

    A. S. Gracheva, E. Yu. Pobedonostseva, I. G. Udina & O. L. Kurbatova

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  1. A. S. Gracheva
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  2. E. Yu. Pobedonostseva
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  3. I. G. Udina
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  4. O. L. Kurbatova
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Correspondence to A. S. Gracheva or O. L. Kurbatova.

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The authors declare that they have no conflict of interest. This article does not contain any studies involving animals or human subjects performed by any of the authors. The study was approved by the Ethics Committee of the Vavilov Institute of General Genetics.

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Translated by D. Timchenko

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Gracheva, A.S., Pobedonostseva, E.Y., Udina, I.G. et al. Territorial Subdivision of the Megalopolis Population by the Ethnic Trait in Relation to the Problem of Creating Genetic Databases. St. Petersburg. Russ J Genet 55, 1536–1544 (2019). https://doi.org/10.1134/S1022795419120056

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