Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns
Autor: | Valeria Petrushenko, A. T. Agdzhoyan, Elena Balanovska, Sherzod Abdullaev, Dmitriy A. Sychev, Igor Gorin, K. B. Mirzaev, Oleg Balanovsky, Ilyas I. Temirbulatov, Denis Chernevskiy, A. V. Kryukov |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Pharmacology
education.field_of_study medicine.medical_specialty AB0 business.industry Population Ethnic group Distribution (economics) severe COVID-19 rs657152 Correlation Variation (linguistics) Pharmacogenomics and Personalized Medicine Genetic marker Genotype Epidemiology genetic markers Molecular Medicine Medicine business education rs11385942 gene geography Demography Original Research |
Zdroj: | Pharmacogenomics and Personalized Medicine |
ISSN: | 1178-7066 |
Popis: | Oleg Balanovsky,1â 3 Valeria Petrushenko,1,4 Karin Mirzaev,2,5 Sherzod Abdullaev,5 Igor Gorin,1,4 Denis Chernevskiy,2 Anastasiya Agdzhoyan,1,2 Elena Balanovska,2,3 Alexander Kryukov,5 Ilyas Temirbulatov,2,5 Dmitriy Sychev5 1Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia; 2Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia; 3Biobank of North Eurasia, Moscow, Russia; 4Department of Bioinformatics Moscow Institute of Physics and Technology, Moscow, Russia; 5Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, RussiaCorrespondence: Elena BalanovskaLaboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, RussiaTel +7 499 612-81-79Email balanovska@mail.ruDmitriy SychevDepartment of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, RussiaTel +7 495 680-05-99Email dmitry.alex.sychev@gmail.comBackground: Information about the distribution of clinically significant genetic markers in different populations may be helpful in elaborating personalized approaches to the clinical management of COVID-19 in the absence of consensus guidelines.Aim: Analyze frequencies and distribution patterns of two markers associated with severe COVID-19 (rs11385942 and rs657152) and look for potential correlations between these markers and deaths from COVID-19 among populations in Russia and across the world.Methods: We genotyped 1883 samples from 91 ethnic groups pooled into 28 populations representing Russia and its neighbor states. We also compiled a dataset on 32 populations from other regions using genotypes extracted or imputed from the available databases. Geographic maps showing the frequency distribution of the analyzed markers were constructed using the obtained data.Results: The cartographic analysis revealed that rs11385942 distribution follows the West Eurasian pattern: the marker is frequent among the populations of Europe, West Asia and South Asia but rare or absent in all other parts of the globe. Notably, the transition from high to low rs11385942 frequencies across Eurasia is not abrupt but follows the clinal variation pattern instead. The distribution of rs657152 is more homogeneous. The analysis of correlations between the frequencies of the studied markers and the epidemiological characteristics of COVID-19 in a population revealed that higher frequencies of both risk alleles correlated positively with mortality from this disease. For rs657152, the correlation was especially strong (r = 0.59, p = 0.02). These reasonable correlations were observed for the âRussianâ dataset only: no such correlations were established for the âworldâ dataset. This could be attributed to the differences in methodology used to collect COVID-19 statistics in different countries.Conclusion: Our findings suggest that genetic differences between populations make a small yet tangible contribution to the heterogeneity of the pandemic worldwide.Keywords: severe COVID-19, genetic markers, AB0, rs11385942, rs657152, gene geography |
Databáze: | OpenAIRE |
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