Imperial College London

Professor Graham P Taylor

Faculty of MedicineDepartment of Infectious Disease

Professor of Human Retrovirology
 
 
 
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Contact

 

+44 (0)20 7594 3910g.p.taylor Website

 
 
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Location

 

443Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Eales:2022:10.1186/s12879-022-07628-4,
author = {Eales, O and Wang, H and Bodinier, B and Haw, D and Jonnerby, J and Atchison, C and Ashby, D and Barclay, W and Taylor, G and Cooke, G and Ward, H and Darzi, A and Riley, S and Chadeau, M and Donnelly, C and Elliott, P},
doi = {10.1186/s12879-022-07628-4},
journal = {BMC Infectious Diseases},
title = {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},
url = {http://dx.doi.org/10.1186/s12879-022-07628-4},
volume = {22},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Eales,O
AU - Wang,H
AU - Bodinier,B
AU - Haw,D
AU - Jonnerby,J
AU - Atchison,C
AU - Ashby,D
AU - Barclay,W
AU - Taylor,G
AU - Cooke,G
AU - Ward,H
AU - Darzi,A
AU - Riley,S
AU - Chadeau,M
AU - Donnelly,C
AU - Elliott,P
DO - 10.1186/s12879-022-07628-4
PY - 2022///
SN - 1471-2334
TI - 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
T2 - BMC Infectious Diseases
UR - http://dx.doi.org/10.1186/s12879-022-07628-4
UR - http://hdl.handle.net/10044/1/98322
VL - 22
ER -