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Representativeness of whole-genome sequencing approaches in England: the importance for understanding inequalities associated with SARS-CoV-2 infection
Whole-genome sequencing (WGS) information has played a crucial role in the SARS-CoV-2 (COVID-19) pandemic by providing evidence about variants to inform public health policy. The purpose of this study was to assess the representativeness of sequenced cases compared with all COVID-19 cases in England...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600896/ https://www.ncbi.nlm.nih.gov/pubmed/37726109 http://dx.doi.org/10.1017/S0950268823001541 |
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author | Twohig, Katherine A. Harman, Katie Zaidi, Asad Aliabadi, Shirin Nash, Sophie G. Sinnathamby, Mary Harrison, Ian Gallagher, Eileen Groves, Natalie Schwach, Frank Pearson, Clare Thornton, Alicia Myers, Richard Chand, Meera Thelwall, Simon Dabrera, Gavin |
author_facet | Twohig, Katherine A. Harman, Katie Zaidi, Asad Aliabadi, Shirin Nash, Sophie G. Sinnathamby, Mary Harrison, Ian Gallagher, Eileen Groves, Natalie Schwach, Frank Pearson, Clare Thornton, Alicia Myers, Richard Chand, Meera Thelwall, Simon Dabrera, Gavin |
author_sort | Twohig, Katherine A. |
collection | PubMed |
description | Whole-genome sequencing (WGS) information has played a crucial role in the SARS-CoV-2 (COVID-19) pandemic by providing evidence about variants to inform public health policy. The purpose of this study was to assess the representativeness of sequenced cases compared with all COVID-19 cases in England, between March 2020 and August 2021, by demographic and socio-economic characteristics, to evaluate the representativeness and utility of these data in epidemiological analyses. To achieve this, polymerase chain reaction (PCR)-confirmed COVID-19 cases were extracted from the national laboratory system and linked with WGS data. During the study period, over 10% of COVID-19 cases in England had WGS data available for epidemiological analysis. With sequencing capacity increasing throughout the period, sequencing representativeness compared to all reported COVID-19 cases increased over time, allowing for valuable epidemiological analyses using demographic and socio-economic characteristics, particularly during periods with emerging novel SARS-CoV-2 variants. This study demonstrates the comprehensiveness of England’s sequencing throughout the COVID-19 pandemic, rapidly detecting variants of concern, and enabling representative epidemiological analyses to inform policy. |
format | Online Article Text |
id | pubmed-10600896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106008962023-10-27 Representativeness of whole-genome sequencing approaches in England: the importance for understanding inequalities associated with SARS-CoV-2 infection Twohig, Katherine A. Harman, Katie Zaidi, Asad Aliabadi, Shirin Nash, Sophie G. Sinnathamby, Mary Harrison, Ian Gallagher, Eileen Groves, Natalie Schwach, Frank Pearson, Clare Thornton, Alicia Myers, Richard Chand, Meera Thelwall, Simon Dabrera, Gavin Epidemiol Infect Original Paper Whole-genome sequencing (WGS) information has played a crucial role in the SARS-CoV-2 (COVID-19) pandemic by providing evidence about variants to inform public health policy. The purpose of this study was to assess the representativeness of sequenced cases compared with all COVID-19 cases in England, between March 2020 and August 2021, by demographic and socio-economic characteristics, to evaluate the representativeness and utility of these data in epidemiological analyses. To achieve this, polymerase chain reaction (PCR)-confirmed COVID-19 cases were extracted from the national laboratory system and linked with WGS data. During the study period, over 10% of COVID-19 cases in England had WGS data available for epidemiological analysis. With sequencing capacity increasing throughout the period, sequencing representativeness compared to all reported COVID-19 cases increased over time, allowing for valuable epidemiological analyses using demographic and socio-economic characteristics, particularly during periods with emerging novel SARS-CoV-2 variants. This study demonstrates the comprehensiveness of England’s sequencing throughout the COVID-19 pandemic, rapidly detecting variants of concern, and enabling representative epidemiological analyses to inform policy. Cambridge University Press 2023-09-20 /pmc/articles/PMC10600896/ /pubmed/37726109 http://dx.doi.org/10.1017/S0950268823001541 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Original Paper Twohig, Katherine A. Harman, Katie Zaidi, Asad Aliabadi, Shirin Nash, Sophie G. Sinnathamby, Mary Harrison, Ian Gallagher, Eileen Groves, Natalie Schwach, Frank Pearson, Clare Thornton, Alicia Myers, Richard Chand, Meera Thelwall, Simon Dabrera, Gavin Representativeness of whole-genome sequencing approaches in England: the importance for understanding inequalities associated with SARS-CoV-2 infection |
title | Representativeness of whole-genome sequencing approaches in England: the importance for understanding inequalities associated with SARS-CoV-2 infection |
title_full | Representativeness of whole-genome sequencing approaches in England: the importance for understanding inequalities associated with SARS-CoV-2 infection |
title_fullStr | Representativeness of whole-genome sequencing approaches in England: the importance for understanding inequalities associated with SARS-CoV-2 infection |
title_full_unstemmed | Representativeness of whole-genome sequencing approaches in England: the importance for understanding inequalities associated with SARS-CoV-2 infection |
title_short | Representativeness of whole-genome sequencing approaches in England: the importance for understanding inequalities associated with SARS-CoV-2 infection |
title_sort | representativeness of whole-genome sequencing approaches in england: the importance for understanding inequalities associated with sars-cov-2 infection |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600896/ https://www.ncbi.nlm.nih.gov/pubmed/37726109 http://dx.doi.org/10.1017/S0950268823001541 |
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