Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns

Oleg Balanovsky,1– 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, Mosco...

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Autores principales: Balanovsky O, Petrushenko V, Mirzaev K, Abdullaev S, Gorin I, Chernevskiy D, Agdzhoyan A, Balanovska E, Kryukov A, Temirbulatov I, Sychev D
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Publicado: Dove Medical Press 2021
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Acceso en línea:https://doaj.org/article/7052b209a8c348658e7f93ee83120aec
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spelling oai:doaj.org-article:7052b209a8c348658e7f93ee83120aec2021-11-04T19:00:26ZVariation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns1178-7066https://doaj.org/article/7052b209a8c348658e7f93ee83120aec2021-11-01T00:00:00Zhttps://www.dovepress.com/variation-of-genomic-sites-associated-with-severe-covid-19-across-popu-peer-reviewed-fulltext-article-PGPMhttps://doaj.org/toc/1178-7066Oleg Balanovsky,1– 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 “Russian” dataset only: no such correlations were established for the “world” 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 geographyBalanovsky OPetrushenko VMirzaev KAbdullaev SGorin IChernevskiy DAgdzhoyan ABalanovska EKryukov ATemirbulatov ISychev DDove Medical Pressarticlesevere covid-19genetic markersab0rs11385942rs657152gene geographyTherapeutics. PharmacologyRM1-950ENPharmacogenomics and Personalized Medicine, Vol Volume 14, Pp 1391-1402 (2021)
institution DOAJ
collection DOAJ
language EN
topic severe covid-19
genetic markers
ab0
rs11385942
rs657152
gene geography
Therapeutics. Pharmacology
RM1-950
spellingShingle severe covid-19
genetic markers
ab0
rs11385942
rs657152
gene geography
Therapeutics. Pharmacology
RM1-950
Balanovsky O
Petrushenko V
Mirzaev K
Abdullaev S
Gorin I
Chernevskiy D
Agdzhoyan A
Balanovska E
Kryukov A
Temirbulatov I
Sychev D
Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns
description Oleg Balanovsky,1– 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 “Russian” dataset only: no such correlations were established for the “world” 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
format article
author Balanovsky O
Petrushenko V
Mirzaev K
Abdullaev S
Gorin I
Chernevskiy D
Agdzhoyan A
Balanovska E
Kryukov A
Temirbulatov I
Sychev D
author_facet Balanovsky O
Petrushenko V
Mirzaev K
Abdullaev S
Gorin I
Chernevskiy D
Agdzhoyan A
Balanovska E
Kryukov A
Temirbulatov I
Sychev D
author_sort Balanovsky O
title Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns
title_short Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns
title_full Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns
title_fullStr Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns
title_full_unstemmed Variation of Genomic Sites Associated with Severe Covid-19 Across Populations: Global and National Patterns
title_sort variation of genomic sites associated with severe covid-19 across populations: global and national patterns
publisher Dove Medical Press
publishDate 2021
url https://doaj.org/article/7052b209a8c348658e7f93ee83120aec
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