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The Single-Nucleotide Polymorphism (SNP) Validity to Detect Omicron Variants
INTRODUCTION: Mutation of SARS-CoV-2 has generated several variants of concern (VOC) which spread promptly worldwide. These emerging variants affected global strategies to overcome COVID-19. Variants of SARS-CoV-2 are determined by the whole genome sequencing (WGS) assay, which is time-consuming, wi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501844/ https://www.ncbi.nlm.nih.gov/pubmed/37719318 http://dx.doi.org/10.1155/2023/6618710 |
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author | Partakusuma, Lia Gardenia Budiailmiawan, Luhung Budiman Parwati, Ida Aryati Andriyoko, Basti Markus, Louisa Niswara, Corine Cinthia Alamanda, Cut Nur |
author_facet | Partakusuma, Lia Gardenia Budiailmiawan, Luhung Budiman Parwati, Ida Aryati Andriyoko, Basti Markus, Louisa Niswara, Corine Cinthia Alamanda, Cut Nur |
author_sort | Partakusuma, Lia Gardenia |
collection | PubMed |
description | INTRODUCTION: Mutation of SARS-CoV-2 has generated several variants of concern (VOC) which spread promptly worldwide. These emerging variants affected global strategies to overcome COVID-19. Variants of SARS-CoV-2 are determined by the whole genome sequencing (WGS) assay, which is time-consuming, with limited availability (only in several laboratories). Hence, a faster and more accessible examination is needed. The single-nucleotide polymorphism (SNP) method is one of the options for genomic variation surveillance that can help provide an answer to this challenge. This study aims to determine the validity of the SNP method with PCR to detect omicron variants of SARS-CoV-2 compared with the gold standard, WGS. METHODS: This is a diagnostic analysis of 140 confirmed COVID-19 nasopharyngeal samples taken from the Kemayoran COVID Emergency Hospital Laboratory and the West Java Provincial Health Laboratory from April to October 2022. Data analysis was carried out to determine conformity and validity values. RESULTS: Analysis using Cohen's kappa coefficient test showed high conformity between SNP and WGS (p value <0.001; kappa coefficient = 0.948). SNP showed great validity values on omicron BA.1 (90% sensitivity; 100% specificity), omicron BA.2 (100% sensitivity; 99% specificity), and omicron BA.4/5 (99.2% sensitivity; 100% specificity). CONCLUSION: The SNP method can be a more time-efficient alternative to detect omicron variants of SARS-CoV-2 and distinguish their sublineages (BA.1, BA.2, and BA.4/5) by two different specific gene mutations in combination analysis (ΔH69/V70 and Q493R mutations). |
format | Online Article Text |
id | pubmed-10501844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-105018442023-09-15 The Single-Nucleotide Polymorphism (SNP) Validity to Detect Omicron Variants Partakusuma, Lia Gardenia Budiailmiawan, Luhung Budiman Parwati, Ida Aryati Andriyoko, Basti Markus, Louisa Niswara, Corine Cinthia Alamanda, Cut Nur Adv Virol Research Article INTRODUCTION: Mutation of SARS-CoV-2 has generated several variants of concern (VOC) which spread promptly worldwide. These emerging variants affected global strategies to overcome COVID-19. Variants of SARS-CoV-2 are determined by the whole genome sequencing (WGS) assay, which is time-consuming, with limited availability (only in several laboratories). Hence, a faster and more accessible examination is needed. The single-nucleotide polymorphism (SNP) method is one of the options for genomic variation surveillance that can help provide an answer to this challenge. This study aims to determine the validity of the SNP method with PCR to detect omicron variants of SARS-CoV-2 compared with the gold standard, WGS. METHODS: This is a diagnostic analysis of 140 confirmed COVID-19 nasopharyngeal samples taken from the Kemayoran COVID Emergency Hospital Laboratory and the West Java Provincial Health Laboratory from April to October 2022. Data analysis was carried out to determine conformity and validity values. RESULTS: Analysis using Cohen's kappa coefficient test showed high conformity between SNP and WGS (p value <0.001; kappa coefficient = 0.948). SNP showed great validity values on omicron BA.1 (90% sensitivity; 100% specificity), omicron BA.2 (100% sensitivity; 99% specificity), and omicron BA.4/5 (99.2% sensitivity; 100% specificity). CONCLUSION: The SNP method can be a more time-efficient alternative to detect omicron variants of SARS-CoV-2 and distinguish their sublineages (BA.1, BA.2, and BA.4/5) by two different specific gene mutations in combination analysis (ΔH69/V70 and Q493R mutations). Hindawi 2023-09-07 /pmc/articles/PMC10501844/ /pubmed/37719318 http://dx.doi.org/10.1155/2023/6618710 Text en Copyright © 2023 Lia Gardenia Partakusuma et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Partakusuma, Lia Gardenia Budiailmiawan, Luhung Budiman Parwati, Ida Aryati Andriyoko, Basti Markus, Louisa Niswara, Corine Cinthia Alamanda, Cut Nur The Single-Nucleotide Polymorphism (SNP) Validity to Detect Omicron Variants |
title | The Single-Nucleotide Polymorphism (SNP) Validity to Detect Omicron Variants |
title_full | The Single-Nucleotide Polymorphism (SNP) Validity to Detect Omicron Variants |
title_fullStr | The Single-Nucleotide Polymorphism (SNP) Validity to Detect Omicron Variants |
title_full_unstemmed | The Single-Nucleotide Polymorphism (SNP) Validity to Detect Omicron Variants |
title_short | The Single-Nucleotide Polymorphism (SNP) Validity to Detect Omicron Variants |
title_sort | single-nucleotide polymorphism (snp) validity to detect omicron variants |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501844/ https://www.ncbi.nlm.nih.gov/pubmed/37719318 http://dx.doi.org/10.1155/2023/6618710 |
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