Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
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
_version_ 1783583819241095168
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
work_keys_str_mv AT iyergayatrir infectivityandprogressionofcovid19basedonselectedhostcandidategenevariants
AT samajdersayani infectivityandprogressionofcovid19basedonselectedhostcandidategenevariants
AT zubedasyeda infectivityandprogressionofcovid19basedonselectedhostcandidategenevariants
AT sdevisooryanarayana infectivityandprogressionofcovid19basedonselectedhostcandidategenevariants
AT malivishakha infectivityandprogressionofcovid19basedonselectedhostcandidategenevariants
AT pvsharathkrishnan infectivityandprogressionofcovid19basedonselectedhostcandidategenevariants
AT sharmaanuradha infectivityandprogressionofcovid19basedonselectedhostcandidategenevariants
AT abbasneyhazainab infectivityandprogressionofcovid19basedonselectedhostcandidategenevariants
AT boranandinishyamali infectivityandprogressionofcovid19basedonselectedhostcandidategenevariants
AT narravulaamulya infectivityandprogressionofcovid19basedonselectedhostcandidategenevariants
AT hasanqurratulain infectivityandprogressionofcovid19basedonselectedhostcandidategenevariants