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SARS-CoV-2 lineage dynamics in England from September to November 2021: high diversity of Delta sub-lineages and increased transmissibility of AY.4.2.
Eales, Oliver; Page, Andrew J; de Oliveira Martins, Leonardo; Wang, Haowei; Bodinier, Barbara; Haw, David; Jonnerby, Jakob; Atchison, Christina; Ashby, Deborah; Barclay, Wendy; Taylor, Graham; Cooke, Graham; Ward, Helen; Darzi, Ara; Riley, Steven; Chadeau-Hyam, Marc; Donnelly, Christl A; Elliott, Paul.
  • Eales O; School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.
  • Page AJ; MRC Centre for Global Infectious Disease Analysis and Jameel Institute, Imperial College London, London, UK.
  • de Oliveira Martins L; Quadram Institute, Norwich, UK.
  • Wang H; Quadram Institute, Norwich, UK.
  • Bodinier B; School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.
  • Haw D; MRC Centre for Global Infectious Disease Analysis and Jameel Institute, Imperial College London, London, UK.
  • Jonnerby J; School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.
  • Atchison C; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
  • Ashby D; MRC Centre for Global Infectious Disease Analysis and Jameel Institute, Imperial College London, London, UK.
  • Barclay W; School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.
  • Taylor G; MRC Centre for Global Infectious Disease Analysis and Jameel Institute, Imperial College London, London, UK.
  • Cooke G; School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.
  • Darzi A; School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.
  • Riley S; Department of Infectious Disease, Imperial College London, London, UK.
  • Chadeau-Hyam M; Department of Infectious Disease, Imperial College London, London, UK.
  • Donnelly CA; Department of Infectious Disease, Imperial College London, London, UK.
  • Elliott P; Imperial College Healthcare NHS Trust, London, UK.
BMC Infect Dis ; 22(1): 647, 2022 Jul 27.
Article in English | MEDLINE | ID: covidwho-1962762
ABSTRACT

BACKGROUND:

Since the emergence of SARS-CoV-2, evolutionary pressure has driven large increases in the transmissibility of the virus. However, with increasing levels of immunity through vaccination and natural infection the evolutionary pressure will switch towards immune escape. Genomic surveillance in regions of high immunity is crucial in detecting emerging variants that can more successfully navigate the immune landscape.

METHODS:

We present phylogenetic relationships and lineage dynamics within England (a country with high levels of immunity), as inferred from a random community sample of individuals who provided a self-administered throat and nose swab for rt-PCR testing as part of the REal-time Assessment of Community Transmission-1 (REACT-1) study. During round 14 (9 September-27 September 2021) and 15 (19 October-5 November 2021) lineages were determined for 1322 positive individuals, with 27.1% of those which reported their symptom status reporting no symptoms in the previous month.

RESULTS:

We identified 44 unique lineages, all of which were Delta or Delta sub-lineages, and found a reduction in their mutation rate over the study period. The proportion of the Delta sub-lineage AY.4.2 was increasing, with a reproduction number 15% (95% CI 8-23%) greater than the most prevalent lineage, AY.4. Further, AY.4.2 was less associated with the most predictive COVID-19 symptoms (p = 0.029) and had a reduced mutation rate (p = 0.050). Both AY.4.2 and AY.4 were found to be geographically clustered in September but this was no longer the case by late October/early November, with only the lineage AY.6 exhibiting clustering towards the South of England.

CONCLUSIONS:

As SARS-CoV-2 moves towards endemicity and new variants emerge, genomic data obtained from random community samples can augment routine surveillance data without the potential biases introduced due to higher sampling rates of symptomatic individuals.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid / Vaccines / Variants Limits: Humans Country/Region as subject: Europa Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: S12879-022-07628-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid / Vaccines / Variants Limits: Humans Country/Region as subject: Europa Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: S12879-022-07628-4