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Detecting SARS-CoV-2 variants with SNP genotyping

View ORCID ProfileHelen Harper, View ORCID ProfileAmanda J. Burridge, Mark Winfield, Adam Finn, Andrew D. Davidson, View ORCID ProfileDavid Matthews, View ORCID ProfileStephanie Hutchings, Barry Vipond, Nisha Jain, Keith J Edwards, The COVID-19 Genomics UK (COG-UK) consortium, Gary Barker
doi: https://doi.org/10.1101/2020.11.18.388140
Helen Harper
1School of Biological Sciences, University of Bristol, Bristol, UK
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  • For correspondence: helen.harper@bristol.ac.uk
Amanda J. Burridge
1School of Biological Sciences, University of Bristol, Bristol, UK
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Mark Winfield
1School of Biological Sciences, University of Bristol, Bristol, UK
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Adam Finn
2School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
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Andrew D. Davidson
2School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
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David Matthews
2School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
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Stephanie Hutchings
3PHE South West Regional Laboratory, Southmead Hospital, BS10 5NB, UK
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Barry Vipond
3PHE South West Regional Laboratory, Southmead Hospital, BS10 5NB, UK
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Nisha Jain
43CR Bioscience Limited, West Point Business Park, CM20 2BU, UK
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Keith J Edwards
1School of Biological Sciences, University of Bristol, Bristol, UK
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Gary Barker
1School of Biological Sciences, University of Bristol, Bristol, UK
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Abstract

Tracking genetic variations from positive SARS-CoV-2 samples yields crucial information about the number of variants circulating in an outbreak and the possible lines of transmission but sequencing every positive SARS-CoV-2 sample would be prohibitively costly for population-scale test and trace operations. Genotyping is a rapid, high-throughput and low-cost alternative for screening positive SARS-CoV-2 samples in many settings. We have designed a SNP identification pipeline to identify genetic variation using sequenced SARS-CoV-2 samples. Our pipeline identifies a minimal marker panel that can define distinct genotypes. To evaluate the system we developed a genotyping panel to detect variants-identified from SARS-CoV-2 sequences surveyed between March and May 2020- and tested this on 50 stored qRT-PCR positive SARS-CoV-2 clinical samples that had been collected across the South West of the UK in April 2020. The 50 samples split into 15 distinct genotypes and there was a 76% probability that any two randomly chosen samples from our set of 50 would have a distinct genotype. In a high throughput laboratory, qRT-PCR positive samples pooled into 384-well plates could be screened with our marker panel at a cost of < £1.50 per sample. Our results demonstrate the usefulness of a SNP genotyping panel to provide a rapid, cost-effective, and reliable way to monitor SARS-CoV-2 variants circulating in an outbreak. Our analysis pipeline is publicly available and will allow for marker panels to be updated periodically as viral genotypes arise or disappear from circulation.

Footnotes

  • ↵5 https://www.cogconsortium.uk

  • ↵^ Full list of consortium names and affiliations are available in S7 ‘COG-UK authorship’.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted November 19, 2020.
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Detecting SARS-CoV-2 variants with SNP genotyping
Helen Harper, Amanda J. Burridge, Mark Winfield, Adam Finn, Andrew D. Davidson, David Matthews, Stephanie Hutchings, Barry Vipond, Nisha Jain, Keith J Edwards, The COVID-19 Genomics UK (COG-UK) consortium, Gary Barker
bioRxiv 2020.11.18.388140; doi: https://doi.org/10.1101/2020.11.18.388140
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Detecting SARS-CoV-2 variants with SNP genotyping
Helen Harper, Amanda J. Burridge, Mark Winfield, Adam Finn, Andrew D. Davidson, David Matthews, Stephanie Hutchings, Barry Vipond, Nisha Jain, Keith J Edwards, The COVID-19 Genomics UK (COG-UK) consortium, Gary Barker
bioRxiv 2020.11.18.388140; doi: https://doi.org/10.1101/2020.11.18.388140

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