Projects per year
Abstract
The SARS-CoV-2 lineage B.1.1.7, designated variant of concern (VOC) 202012/01 by Public Health England1, was first identified in the UK in late summer to early autumn 20202. Whole-genome SARS-CoV-2 sequence data collected from community-based diagnostic testing for COVID-19 show an extremely rapid expansion of the B.1.1.7 lineage during autumn 2020, suggesting that it has a selective advantage. Here we show that changes in VOC frequency inferred from genetic data correspond closely to changes inferred by S gene target failures (SGTF) in community-based diagnostic PCR testing. Analysis of trends in SGTF and non-SGTF case numbers in local areas across England shows that B.1.1.7 has higher transmissibility than non-VOC lineages, even if it has a different latent period or generation time. The SGTF data indicate a transient shift in the age composition of reported cases, with cases of B.1.1.7 including a larger share of under 20-year-olds than non-VOC cases. We estimated time-varying reproduction numbers for B.1.1.7 and co-circulating lineages using SGTF and genomic data. The best-supported models did not indicate a substantial difference in VOC transmissibility among different age groups, but all analyses agreed that B.1.1.7 has a substantial transmission advantage over other lineages, with a 50% to 100% higher reproduction number.
Original language | English |
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Pages (from-to) | 266-269 |
Number of pages | 4 |
Journal | Nature |
Volume | 593 |
Issue number | 7858 |
Early online date | 25 Mar 2021 |
DOIs | |
Publication status | Published - 13 May 2021 |
Keywords
- UKRI
- MRC
- MR/R015600/1
- MR/V038109/1
Fingerprint
Dive into the research topics of 'Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England'. Together they form a unique fingerprint.Datasets
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COVID-19 Genomics UK (COG-UK) consortium
Robson, S. (Creator), NCBI, 29 Apr 2020
https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJEB37886
Dataset
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Dataset: GISAID EpiCov SARS-CoV-2 Whole Genome Sequencing Database
Robson, S. (Creator), GISAID, 18 Nov 2020
https://www.epicov.org/epi3/frontend#3bd481
Dataset
Projects
- 1 Finished
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STOP COVID-19: Sequencing and Tracking Of Phylogeny in COVID-19
Robson, S. (PI), Scarlett, G. (Team Member), Bourgeois, Y. (CoI), Beckett, A. (Team Member), Loveson, K. (Team Member), Glaysher, S. (Team Member), Chauhan, A. (Team Member), Goudarzi, S. (Team Member), Cook, K. (Team Member), Fearn, C. (Team Member), Paul, H. (Team Member) & Dent, H. (Team Member)
COG-UK, UK Health Security Agency
1/04/20 → 31/03/23
Project: Research