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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. Pharmgenomics Pers Med 2021; 14:1391-1402. [PMID: 34764675 PMCID: PMC8575442 DOI: 10.2147/pgpm.s320609] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 10/04/2021] [Indexed: 01/10/2023]
Abstract
Background 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.
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Affiliation(s)
- Oleg Balanovsky
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Biobank of North Eurasia, Moscow, Russia
| | - Valeria Petrushenko
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Department of Bioinformatics Moscow Institute of Physics and Technology, Moscow, Russia
| | - Karin Mirzaev
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Sherzod Abdullaev
- Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Igor Gorin
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Department of Bioinformatics Moscow Institute of Physics and Technology, Moscow, Russia
| | - Denis Chernevskiy
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia
| | - Anastasiya Agdzhoyan
- Laboratory of Genome Geography, Vavilov Institute of General Genetics, Moscow, Russia.,Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia
| | - Elena Balanovska
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Biobank of North Eurasia, Moscow, Russia
| | - Alexander Kryukov
- Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Ilyas Temirbulatov
- Laboratory of Human Population Genetics, Research Centre for Medical Genetics, Moscow, Russia.,Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Dmitriy Sychev
- Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
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Orlova EA, Ogarkov OB, Khromova PA, Sinkov VV, Khasnatinov MA, Zhdanova SN, Rychkova LV, Kolesnikova LI. SNP rs657152 Is Not Associated with the Level of Viral Load in COVID-19 or the Probability of Disease in the Population of Caucasians in Eastern Siberia. RUSS J GENET+ 2021; 57:982-984. [PMID: 34483600 PMCID: PMC8404754 DOI: 10.1134/s1022795421080093] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 10/21/2020] [Accepted: 10/27/2020] [Indexed: 12/25/2022]
Abstract
Cross-replicating associations with rs657152 at the 9q34.2c locus and rs11385942 at the 3p21.31 locus found in patients with severe COVID-19 in the Caucasian population require the study of the discovered phenomenon in various populations, including as an independent biological marker. Primers and TaqMan probes for PCR discrimination of the A and C alleles in single nucleotide polymorphism (SNP) rs657152 have been developed. The polymorphism of the rs657152 A/C locus was determined in 129 patients with COVID-19 and in a control group of 466 healthy individuals. There were no significant differences in the frequency of distribution of the A and C alleles, 0.47/0.53 and 0.45/0.55, between patients and healthy subjects, respectively. Also, no differences were found in the distribution of alleles in patients with a high viral load in the smear (Ct in the range of 16-25) in comparison with an average and low viral load (Ct in the range of 26-40).
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Affiliation(s)
- E. A. Orlova
- Scientific Center for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - O. B. Ogarkov
- Scientific Center for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - P. A. Khromova
- Scientific Center for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - V. V. Sinkov
- Scientific Center for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - M. A. Khasnatinov
- Scientific Center for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - S. N. Zhdanova
- Scientific Center for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - L. V. Rychkova
- Scientific Center for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - L. I. Kolesnikova
- Scientific Center for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
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Li Y, Liu L, Huang Y, Zheng H, Li L. Association of ABO polymorphisms and pancreatic Cancer/ Cardiocerebrovascular disease: a meta-analysis. BMC Med Genet 2020; 21:41. [PMID: 32093636 PMCID: PMC7041112 DOI: 10.1186/s12881-020-0975-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 02/17/2020] [Indexed: 12/20/2022]
Abstract
Background ABO gene polymorphisms have been reported to be associated with the risk of multiple cancers and cardiocerebrovascular diseases. However, the results remained controversial. In this study, we conducted a systematic review and meta-analysis to clarify the association between two SNPs (rs505922 and rs657152) in ABO gene and cancers/cardiocerebrovascular diseases. Method All eligible case-control studies come from PubMed, Embase and Web of Science up to Jan. 1, 2019. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the corresponding associations. Sensitivity analysis, publication bias assessment, and heterogeneity test were performed using STATA 12.0. Results A total of nineteen articles involving twenty-two case-control populations were included according to inclusion and exclusion criteria. Twelve populations (20,820 cases and 27,837 controls) were used to evaluate the relationship between rs505922 and overall cancers and nine populations (22,275 cases and 71,549 controls) were included to assess the association between rs505922 and cardiocerebrovascular diseases. The results showed a significant association between the rs505922 polymorphism and cancers (CvsT: OR = 1.13, 95%CI = 1.05–1.22, P = 0.001), and cardiocerebrovascular diseases (OR = 1.36, 95%CI = 1.19–1.57, P < 0.001). Five populations (8660 cases and 10,618 controls) were included to evaluate association between rs657152 and cancers and five populations (8105 cases and 6712 controls) were included to estimate the relationship between rs657152 and cardiocerebrovascular diseases. The result of meta-analysis reveals that rs657152 was significantly associated with cancers (OR = 1.18, 95%CI = 1.13–1.23, P < 0.001) and cardiocerebrovascular diseases (OR = 1.54, 95%CI = 1.24–1.92, P < 0.001). Conclusion Our study suggested that ABO polymorphisms might serve as a risk factor of pancreatic cancers and cardiocerebrovascular diseases.
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Affiliation(s)
| | | | - Yubei Huang
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Hong Zheng
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
| | - Lian Li
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
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