Representativeness of whole-genome sequencing approaches in England: the importance for understanding inequalities associated with SARS-CoV-2 infection

Author:

Twohig Katherine A.ORCID,Harman KatieORCID,Zaidi AsadORCID,Aliabadi ShirinORCID,Nash Sophie G.ORCID,Sinnathamby MaryORCID,Harrison IanORCID,Gallagher EileenORCID,Groves NatalieORCID,Schwach FrankORCID,Pearson ClareORCID,Thornton Alicia,Myers RichardORCID,Chand MeeraORCID,Thelwall SimonORCID,Dabrera GavinORCID

Abstract

Abstract 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.

Publisher

Cambridge University Press (CUP)

Subject

Infectious Diseases,Epidemiology

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