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Infectivity and Progression of COVID-19 Based on Selected Host Candidate Gene Variants
Introduction: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has spread around the globe. Susceptibility has been associated with age, biological sex, and other prior existing health conditions. However, host genes are involved in viral infectivity and pathogenicity, and polymorphisms...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500201/ https://www.ncbi.nlm.nih.gov/pubmed/33101356 http://dx.doi.org/10.3389/fgene.2020.00861 |
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author | Iyer, Gayatri R. Samajder, Sayani Zubeda, Syeda S, Devi Soorya Narayana Mali, Vishakha PV, Sharath Krishnan Sharma, Anuradha Abbas, Neyha Zainab Bora, Nandini Shyamali Narravula, Amulya Hasan, Qurratulain |
author_facet | Iyer, Gayatri R. Samajder, Sayani Zubeda, Syeda S, Devi Soorya Narayana Mali, Vishakha PV, Sharath Krishnan Sharma, Anuradha Abbas, Neyha Zainab Bora, Nandini Shyamali Narravula, Amulya Hasan, Qurratulain |
author_sort | Iyer, Gayatri R. |
collection | PubMed |
description | Introduction: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has spread around the globe. Susceptibility has been associated with age, biological sex, and other prior existing health conditions. However, host genes are involved in viral infectivity and pathogenicity, and polymorphisms in these could be responsible for the interethnic/interindividual variability observed in infection and progression of COVID-19. Materials and Methods: Clinical exome data of 103 individuals was analyzed to identify sequence variants in five selected candidate genes: ACE2, TMPRSS2, CD209, IFITM3, and MUC5B to assess their prevalence and role to understand the COVID-19 infectivity and progression in our population. Results: A total of 497 polymorphisms were identified in the five selected genes in the exomes analyzed. Thirty-eight polymorphisms identified in our cohort have been reported earlier in literature and have functional significance or association with health conditions. These variants were classified into three groups: protective, susceptible, and responsible for comorbidities. Discussion and Conclusion: The two polymorphisms described in literature as risk inducing are rs35705950 in MUC5B gene and TMPRSS2 haplotype (rs463727, rs34624090, rs55964536, rs734056, rs4290734, rs34783969, rs11702475, rs35899679, and rs35041537) were absent in our cohort explaining the slower infectivity of the disease in this part of India. The 38 functional variants identified can be used as a predisposition panel for the COVID-19 infectivity and progression and stratify individuals as “high or low risk,” which would help in planning appropriate surveillance and management protocols. A larger study from different regions of India is warranted to validate these results. |
format | Online Article Text |
id | pubmed-7500201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75002012020-10-22 Infectivity and Progression of COVID-19 Based on Selected Host Candidate Gene Variants Iyer, Gayatri R. Samajder, Sayani Zubeda, Syeda S, Devi Soorya Narayana Mali, Vishakha PV, Sharath Krishnan Sharma, Anuradha Abbas, Neyha Zainab Bora, Nandini Shyamali Narravula, Amulya Hasan, Qurratulain Front Genet Genetics Introduction: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has spread around the globe. Susceptibility has been associated with age, biological sex, and other prior existing health conditions. However, host genes are involved in viral infectivity and pathogenicity, and polymorphisms in these could be responsible for the interethnic/interindividual variability observed in infection and progression of COVID-19. Materials and Methods: Clinical exome data of 103 individuals was analyzed to identify sequence variants in five selected candidate genes: ACE2, TMPRSS2, CD209, IFITM3, and MUC5B to assess their prevalence and role to understand the COVID-19 infectivity and progression in our population. Results: A total of 497 polymorphisms were identified in the five selected genes in the exomes analyzed. Thirty-eight polymorphisms identified in our cohort have been reported earlier in literature and have functional significance or association with health conditions. These variants were classified into three groups: protective, susceptible, and responsible for comorbidities. Discussion and Conclusion: The two polymorphisms described in literature as risk inducing are rs35705950 in MUC5B gene and TMPRSS2 haplotype (rs463727, rs34624090, rs55964536, rs734056, rs4290734, rs34783969, rs11702475, rs35899679, and rs35041537) were absent in our cohort explaining the slower infectivity of the disease in this part of India. The 38 functional variants identified can be used as a predisposition panel for the COVID-19 infectivity and progression and stratify individuals as “high or low risk,” which would help in planning appropriate surveillance and management protocols. A larger study from different regions of India is warranted to validate these results. Frontiers Media S.A. 2020-09-04 /pmc/articles/PMC7500201/ /pubmed/33101356 http://dx.doi.org/10.3389/fgene.2020.00861 Text en Copyright © 2020 Iyer, Samajder, Zubeda, S, Mali, PV, Sharma, Abbas, Bora, Narravula and Hasan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Iyer, Gayatri R. Samajder, Sayani Zubeda, Syeda S, Devi Soorya Narayana Mali, Vishakha PV, Sharath Krishnan Sharma, Anuradha Abbas, Neyha Zainab Bora, Nandini Shyamali Narravula, Amulya Hasan, Qurratulain Infectivity and Progression of COVID-19 Based on Selected Host Candidate Gene Variants |
title | Infectivity and Progression of COVID-19 Based on Selected Host Candidate Gene Variants |
title_full | Infectivity and Progression of COVID-19 Based on Selected Host Candidate Gene Variants |
title_fullStr | Infectivity and Progression of COVID-19 Based on Selected Host Candidate Gene Variants |
title_full_unstemmed | Infectivity and Progression of COVID-19 Based on Selected Host Candidate Gene Variants |
title_short | Infectivity and Progression of COVID-19 Based on Selected Host Candidate Gene Variants |
title_sort | infectivity and progression of covid-19 based on selected host candidate gene variants |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500201/ https://www.ncbi.nlm.nih.gov/pubmed/33101356 http://dx.doi.org/10.3389/fgene.2020.00861 |
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