<?xml version='1.0' encoding='utf-8'?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2658-6533</journal-id><journal-title-group><journal-title>Research Results in Biomedicine</journal-title></journal-title-group><issn pub-type="epub">2658-6533</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2658-6533-2021-7-4-0-4</article-id><article-id pub-id-type="publisher-id">2557</article-id><article-categories><subj-group subj-group-type="heading"><subject>Genetics</subject></subj-group></article-categories><title-group><article-title>&lt;strong&gt;Analysis of the level of population endogamia as the basis of population-genetic and medical-genetic studies&lt;/strong&gt;</article-title><trans-title-group xml:lang="en"><trans-title>&lt;strong&gt;Analysis of the level of population endogamia as the basis of population-genetic and medical-genetic studies&lt;/strong&gt;</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Sergeeva</surname><given-names>Kristina N.</given-names></name><name xml:lang="en"><surname>Sergeeva</surname><given-names>Kristina N.</given-names></name></name-alternatives><email>kris_xxx@list.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Sokorev</surname><given-names>Sergei N.</given-names></name><name xml:lang="en"><surname>Sokorev</surname><given-names>Sergei N.</given-names></name></name-alternatives><email>serzh.sokorev@bk.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Efremova</surname><given-names>Olga A.</given-names></name><name xml:lang="en"><surname>Efremova</surname><given-names>Olga A.</given-names></name></name-alternatives><email>efremova@bsu.edu.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Sorokina</surname><given-names>Inna N.</given-names></name><name xml:lang="en"><surname>Sorokina</surname><given-names>Inna N.</given-names></name></name-alternatives><email>Sorokina@bsu.edu.ru</email></contrib></contrib-group><pub-date pub-type="epub"><year>2021</year></pub-date><volume>7</volume><issue>4</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/medicine/2021/4/Биомед_исследования-59-71.pdf" /><abstract xml:lang="ru"><p>Background: When conducting population-genetic and genetic-epidemiological studies, the endogamy index should be taken into account to assess the level of the elementary population, characteristics of the migration activity of the population and the degree of isolation of the population. The aim of the study: To assess the level of endogamy among the entire population of the Belgorod region in the modern period of time. Materials and methods: Based on 11052 marriage records of the Registry Office in the Belgorod region for 2016-2018, the endogamy index was studied among the entire population in all administrative units of the Belgorod region &amp;ndash; 21 districts. The endogamy index was calculated on the basis of data on the place of birth of spouses, as the proportion of husbands and wives born in a given population. Results: It was found that in the district populations of the Belgorod region, the endogamy index at the district level varied from 0.33 to 0.68 with an average value for the region of 0.46, which is within the range of variability of this indicator among the Russian populations of the Russian Federation. At present, the endogamy of regional populations, which include big and large cities, exceeds this indicator among the rural population. For highly urbanized districts of the region, the size of the elementary population corresponds to the administrative boundaries of the district, while for the rural population, the size of the elementary population exceeds the boundaries of the district. It should be noted that the reduced values of this indicator for the rural population correspond to general migration trends. An increase in the inflow of migrants to the regional populations of the Belgorod region leads to a decrease in the endogamy index, as evidenced by the established inverse correlations between the number of migrants per 1000 inhabitants over three time periods (1990, 2000, and 2019) and the endogamy index. Conclusion: The populations of the Belgorod region are characterized by high migration activity, which leads to a decrease in the level of endogamy among the population. At present, the size of the elementary population in the Belgorod region corresponds to the area or slightly exceeds it.</p></abstract><trans-abstract xml:lang="en"><p>Background: When conducting population-genetic and genetic-epidemiological studies, the endogamy index should be taken into account to assess the level of the elementary population, characteristics of the migration activity of the population and the degree of isolation of the population. The aim of the study: To assess the level of endogamy among the entire population of the Belgorod region in the modern period of time. Materials and methods: Based on 11052 marriage records of the Registry Office in the Belgorod region for 2016-2018, the endogamy index was studied among the entire population in all administrative units of the Belgorod region &amp;ndash; 21 districts. The endogamy index was calculated on the basis of data on the place of birth of spouses, as the proportion of husbands and wives born in a given population. Results: It was found that in the district populations of the Belgorod region, the endogamy index at the district level varied from 0.33 to 0.68 with an average value for the region of 0.46, which is within the range of variability of this indicator among the Russian populations of the Russian Federation. At present, the endogamy of regional populations, which include big and large cities, exceeds this indicator among the rural population. For highly urbanized districts of the region, the size of the elementary population corresponds to the administrative boundaries of the district, while for the rural population, the size of the elementary population exceeds the boundaries of the district. It should be noted that the reduced values of this indicator for the rural population correspond to general migration trends. An increase in the inflow of migrants to the regional populations of the Belgorod region leads to a decrease in the endogamy index, as evidenced by the established inverse correlations between the number of migrants per 1000 inhabitants over three time periods (1990, 2000, and 2019) and the endogamy index. Conclusion: The populations of the Belgorod region are characterized by high migration activity, which leads to a decrease in the level of endogamy among the population. At present, the size of the elementary population in the Belgorod region corresponds to the area or slightly exceeds it.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>index of endogamy</kwd><kwd>migration</kwd><kwd>gene pool</kwd></kwd-group><kwd-group xml:lang="en"><kwd>index of endogamy</kwd><kwd>migration</kwd><kwd>gene pool</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>Zinchenko RA, El&amp;#39;chinova GI, Bikanov RA, et al. Study of the role of the main factors of population dynamics in the mechanism of differentiation and formation of diversity and genetic load of hereditary diseases in subpopulations of the Karachay-Cherkess Republic. Russian Journal of Genetics. 2019;55(6):738-743. Russian. DOI: https://doi.org/10.1134/S1022795419060206</mixed-citation></ref><ref id="B2"><mixed-citation>Zinchenko RA, Ginter EK, Kutsev SI. Features of the diversity of hereditary diseases in different regions and multiethnic populations of the Russian Federation. Medical Genetics. 2020;19(7):13-14. Russian. DOI: https://doi.org/10.25557/2073-7998.2020.07.13-14</mixed-citation></ref><ref id="B3"><mixed-citation>сhinova GI, Kadyshev VV, Zinchenko RA. Characterization of the genetic heterogeneity of populations through the load of hereditary pathology. Medical Genetics. 2020;19(7):17-18. Russian. DOI: https://doi.org/10.25557/2073-7998.2020.07.17-18</mixed-citation></ref><ref id="B4"><mixed-citation>Yarosh SL, Kokhtenko EV, Churnosov MI, et al. Joint effect of glutathione S-transferase genotypes and cigarette smoking on idiopathic male infertility. Andrologia. 2015;47(9):980-986. DOI: https://doi.org/10.1111/and.12367</mixed-citation></ref><ref id="B5"><mixed-citation>Yarosh SL, Kokhtenko EV, Starodubova NI, et al. Smoking status modifies the relation between CYP1A1*2C gene polymorphism and idiopathic male infertility: The importance of gene-environment interaction analysis for genetic studies of the disease. Reproductive Sciences. 2013;20(11):1302-1307. DOI: https://doi.org/10.1177/1933719113483013</mixed-citation></ref><ref id="B6"><mixed-citation>Balanovsky O, Pocheshkhova E, Pshenichnov A, et al. Is spatial distribution of the HIV-1-resistant CCR5&amp;Delta;32 allele formed by ecological factors? Journal of Physiological Anthropology and Applied Human Science. 2005;24(4):375-382. DOI: https://doi.org/10.2114/jpa.24.375</mixed-citation></ref><ref id="B7"><mixed-citation>Churilin MI. Association of RS12328675 COBLL1 polymorphism with coronary heart disease and intermediate phenotypes of atherosclerosis: validation study in Central Russia. Research Results in Biomedicine. 2020;6(2):209-218. Russian. DOI: https://doi.org/10.18413/2658-6533-2020-6-2-0-5</mixed-citation></ref><ref id="B8"><mixed-citation>Churnosov MI, Altuchova OB, Demakova NA, et al. Analysis of involvement of cytokine genetic polymorphisms in development of genital endometriosis. Research Journal of Pharmaceutical, Biological and Chemical Sciences. 2014;5(5):1027-1031.</mixed-citation></ref><ref id="B9"><mixed-citation>Krivoshei IV, Altuchova OB, Golovchenko OV, et al. Genetic factors of hysteromyoma. Research Journal of Medical Sciences. 2015;9(4);182-185. DOI:&amp;nbsp;https://doi.org/10.3923/rjmsci.2015.182.185</mixed-citation></ref><ref id="B10"><mixed-citation>сhinova GI, Terechovskaia IG, Zinchenko RA, Endogamy index and its changes with time in some populations of the Volga-Ural region. Russian Journal of Genetics. 2007;43(8):954-956. Russian. DOI:&amp;nbsp;https://doi.org/10.1134/S1022795407080194</mixed-citation></ref><ref id="B11"><mixed-citation>сhinova GI, Getoeva ZK, Kadyshev VV, et al. Endogamy, intensity of cross breeding and ethnic assortability of the Ossetians (end of XX century). Medical genetics. 2019;(5(18)):51-53. Russian. DOI:&amp;nbsp;https://doi.org/10.25557/2073-7998.2019.05.51-53</mixed-citation></ref><ref id="B12"><mixed-citation>El`chinova GI, Макаоv АKh, Petrin AN, et al. Endogamy of urban and rural population of Karachay-Cherkessia. Medical Genetics. 2016;15(3):40-43. Russian. DOI: https://doi.org/10.1234/XXXX-XXXX-2016-3-40-43</mixed-citation></ref><ref id="B13"><mixed-citation>El&amp;#39;chinova GI, Igumnov PS, Zinchenko RA, et al. Inbreeding and endogamy in Tatarstan. Russian Journal of Genetics. 2012;48(3):353-356. Russian. DOI:&amp;nbsp;https://doi.org/10.1134/S1022795412020068</mixed-citation></ref><ref id="B14"><mixed-citation>Ivanov VP, Churnosov MI, Kirilenko AI. Population demographic structure in Kurskaya oblast: Isolation by distance. Russian Journal of Genetics. 1997;3(3):306-310. Russian.</mixed-citation></ref><ref id="B15"><mixed-citation>Vasilieva LI. Dynamics of the Genetic Demographic Structure of the Kursk Oblast Population: Migration Processes. Russian Journal of Genetics. 2002;38(4):446-453. Russian.</mixed-citation></ref><ref id="B16"><mixed-citation>El&amp;rsquo;chinova GI, Kadyshev VV, Vekshina AB, et al. Endogamy in population of North Ossetia (late 20th century). Russian Journal of Genetics. 2020;56(7):880-884. Russian. DOI:&amp;nbsp;https://doi.org/10.1134/S1022795420070042</mixed-citation></ref><ref id="B17"><mixed-citation>El&amp;rsquo;chinova GI, Zinchenko RA, Kryventsova NV, et al. Prediction of the prevalence of hereditary pathology based on the values ​​of inbreeding and random isonymy. Medical genetics. 2007;6(11(65)):29-33. Russian.</mixed-citation></ref><ref id="B18"><mixed-citation>Kurbatova OL, Pobedonostseva EY. Urban populations: possibilities of genetic demography (migration, subdivision, outbreeding). Information Bulletin VOGiS. 2006;10(1):155-188. Russian.</mixed-citation></ref><ref id="B19"><mixed-citation>Sorokina IN, Churnosov MI, Balanovska EV The gene pool of the Belgorod oblast population: II. &amp;quot;Family name portraits&amp;quot; in groups of districts with different degrees of subdivision and the role of migrations in their formation. Russian Journal of Genetics. 2007;43(8):929-936. Russian. DOI:&amp;nbsp;https://doi.org/10.1134/S1022795407080157</mixed-citation></ref><ref id="B20"><mixed-citation>Churnosov MI, Sorokina IN, Balanovska EV. The gene pool of the Belgorod oblast population: changes in the endogamy indices of district populations with time. Russian Journal of Genetics. 2008;44(8):975-982. Russian. DOI:&amp;nbsp;https://doi.org/10.1134/S1022795408080127</mixed-citation></ref><ref id="B21"><mixed-citation>[Belgorodstat] [Internet] [cited 2021 March 15]. Russian. Available from: http://belg.gks.ru</mixed-citation></ref><ref id="B22"><mixed-citation>El&amp;rsquo;chinova GI. Methods of processing population genetic data: the structure of mating migrations. Medical genetics. 2004;3(4):185-192. Russian</mixed-citation></ref><ref id="B23"><mixed-citation>Kriventsova NV, Amelina SS, El&amp;#39;chinova GI, et al. The marriage migration characteristics of the Rostov oblast population. Russian Journal of Genetics. 2005;41(7):801-804. Russian. DOI:&amp;nbsp;https://doi.org/10.1007/s11177-005-0163-0</mixed-citation></ref><ref id="B24"><mixed-citation>El&amp;#39;chinova GI, Simonov YI, Zinchenko RA, et al. Endogamy and isolation by distance in the Tatarstan population. Russian Journal of Genetics. 2011;47(8):999-1003. Russian. DOI:&amp;nbsp;https://doi.org/10.1134/S1022795411080059</mixed-citation></ref><ref id="B25"><mixed-citation>El&amp;#39;chinova GI, Osipova EV, Zinchenko RA. Genetico-epidemiological studies in Udmurt Republic: marital and migration characteristics of urban and rural population. Health, demography, ecology of the Finno-Ugric peoples. 2011;1:45-50. Russian</mixed-citation></ref></ref-list></back></article>