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Temporal dynamics of random inbreeding, estimated by isonimy method on a compulsory health insurance database in three generations of rural Circassians

Abstract

For the first time, the Compulsory Health Insurance database was used to estimate the parameters of the population-genetic structure. The values of random inbreeding and Barrai parameters in three generations of rural Circassians are considered: pre-reproductive part of the population (0-17 years old), reproductive part (18-45 years old), and post-reproductive one (46 and older). The size of these three age groups is different: the younger one is 24.9% of the total population, the middle one is 42.1%, the oldest is 33%. The random inbreeding was 0.0016 in each of the age groups; the Barrai parameters also show no significant changes through time. The existing level of genetic load is expected to be maintained in the near future.

About the Authors

G. I. El`chinova
Research Centre for Medical Genetics; Moscow State University of Medicine and Dentistry
Russian Federation


А. Кh-М. Макаоv
Habezskaya central district hospital
Russian Federation


R. A. Bikanov
Research Centre for Medical Genetics
Russian Federation


S. G. Gavrilina
Research Centre for Medical Genetics
Russian Federation


A. N. Petrin
Research Centre for Medical Genetics; Moscow State University of Medicine and Dentistry
Russian Federation


A. V. Marakhonov
Research Centre for Medical Genetics; Moscow Institute of Physics and Technology
Russian Federation


Yu. A. Revazova
Federal scientific center of hygiene of F.F.Erisman
Russian Federation


E. K. Ginter
Research Centre for Medical Genetics
Russian Federation


R. A. Zinchenko
Research Centre for Medical Genetics; Pirogov Russian National Research Medical University
Russian Federation


References

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Review

For citations:


El`chinova G.I., Макаоv А.К., Bikanov R.A., Gavrilina S.G., Petrin A.N., Marakhonov A.V., Revazova Yu.A., Ginter E.K., Zinchenko R.A. Temporal dynamics of random inbreeding, estimated by isonimy method on a compulsory health insurance database in three generations of rural Circassians. Medical Genetics. 2017;16(4):44-46. (In Russ.)

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ISSN 2073-7998 (Print)