Cartographic atlas of frequency variation for 45 pharmacogenetic markers in populations of russia and its neighbor states

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Abstract

The lack of information about the frequency of pharmacogenetic markers in Russia impedes the adoption of personalized treatment algorithms originally developed for West European populations. The aim of this paper was to study the distribution of some clinically significant pharmacogenetic markers across Russia. A total of 45 pharmacogenetic markers were selected from a few population genetic datasets, including ADME, drug target and hemostasis-controlling genes. The total number of donors genotyped for these markers was 2,197. The frequencies of these markers were determined for 50 different populations, comprised of 137 ethnic and subethnic groups. A comprehensive pharmacogenetic atlas was created, i.e. a systematic collection of gene geographic maps of frequency variation for 45 pharmacogenetic DNA markers in Russia and its neighbor states. The maps revealed 3 patterns of geographic variation. Clinal variation (a gradient change in frequency along the East-West axis) is observed in the pharmacogenetic markers that follow the main pattern of variation for North Eurasia (13% of the maps). Uniform distribution singles out a group of markers that occur at average frequency in most Russian regions (27% of the maps). Focal variation is observed in the markers that are specific to a certain group of populations and are absent in other regions (60% of the maps). The atlas reveals that the average frequency of the marker and its frequency in individual populations do not indicate the type of its distribution in Russia: A gene geographic map is needed to uncover the pattern of its variation.

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Balanovska, E. V., Petrushenko, V. S., Koshel, S. M., Pocheshkhova, E. A., Chernevskiy, D. K., Mirzaev, K. B., … Balanovsky, O. P. (2020). Cartographic atlas of frequency variation for 45 pharmacogenetic markers in populations of russia and its neighbor states. Bulletin of Russian State Medical University, (6), 38–50. https://doi.org/10.24075/BRSMU.2020.080

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