Your browser doesn't support javascript.
Highly Sensitive Lineage Discrimination of SARS-CoV-2 Variants through Allele-Specific Probe PCR.
Ratcliff, Jeremy; Al-Beidh, Farah; Bibi, Sagida; Bonsall, David; Costa Clemens, Sue Ann; Estcourt, Lise; Evans, Amy; Fish, Matthew; Folegatti, Pedro M; Gordon, Anthony C; Jay, Cecilia; Jennings, Aislinn; Laing, Emma; Lambe, Teresa; MacIntyre-Cockett, George; Menon, David; Mouncey, Paul R; Nguyen, Dung; Pollard, Andrew J; Ramasamy, Maheshi N; Roberts, David J; Rowan, Kathryn M; Rynne, Jennifer; Shankar-Hari, Manu; Williams, Sarah; Harvala, Heli; Golubchik, Tanya; Simmonds, Peter.
  • Ratcliff J; Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxfordgrid.4991.5, Oxford, United Kingdom.
  • Al-Beidh F; Imperial College London, London, United Kingdom.
  • Bibi S; Imperial College Health NHS Trust, St. Mary's Hospital, London, United Kingdom.
  • Bonsall D; Oxford Vaccine Group, Department of Paediatrics, University of Oxfordgrid.4991.5, Oxford, United Kingdom.
  • Costa Clemens SA; Big Data Institute, Nuffield Department of Medicine, University of Oxfordgrid.4991.5, Oxford, United Kingdom.
  • Estcourt L; Oxford Vaccine Group, Department of Paediatrics, University of Oxfordgrid.4991.5, Oxford, United Kingdom.
  • Evans A; Institute for Global Health, University of Siena, Siena, Italy.
  • Fish M; Haematology Theme, Radcliffe Department of Medicine, University of Oxfordgrid.4991.5, Oxford, United Kingdom.
  • Folegatti PM; Clinical Trials Unit, NHS Blood and Transport, Oxford, United Kingdom.
  • Gordon AC; Clinical Trials Unit, NHS Blood and Transport, Oxford, United Kingdom.
  • Jay C; School of Immunology and Microbial Sciences, Kings College London, London, United Kingdom.
  • Jennings A; Guy's and St. Thomas' NHS Foundation Trust, St. Thomas' Hospital, London, United Kingdom.
  • Laing E; Centre for Inflammation Research, The University of Edinburghgrid.4305.2, Edinburgh, United Kingdom.
  • Lambe T; Centre for Clinical Vaccinology and Tropical Medicine, The Jenner Institute, University of Oxfordgrid.4991.5, Oxford, United Kingdom.
  • MacIntyre-Cockett G; Imperial College London, London, United Kingdom.
  • Menon D; Imperial College Health NHS Trust, St. Mary's Hospital, London, United Kingdom.
  • Mouncey PR; Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxfordgrid.4991.5, Oxford, United Kingdom.
  • Nguyen D; School of Immunology and Microbial Sciences, Kings College London, London, United Kingdom.
  • Pollard AJ; Guy's and St. Thomas' NHS Foundation Trust, St. Thomas' Hospital, London, United Kingdom.
  • Ramasamy MN; Centre for Inflammation Research, The University of Edinburghgrid.4305.2, Edinburgh, United Kingdom.
  • Roberts DJ; Clinical Trials Unit, NHS Blood and Transport, Oxford, United Kingdom.
  • Rowan KM; Centre for Clinical Vaccinology and Tropical Medicine, The Jenner Institute, University of Oxfordgrid.4991.5, Oxford, United Kingdom.
  • Rynne J; Big Data Institute, Nuffield Department of Medicine, University of Oxfordgrid.4991.5, Oxford, United Kingdom.
  • Shankar-Hari M; University Division of Anaesthesia, University of Cambridgegrid.5335.0, Cambridge, United Kingdom.
  • Williams S; Intensive Care National Audit and Research Centre, London, United Kingdom.
  • Harvala H; Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxfordgrid.4991.5, Oxford, United Kingdom.
  • Golubchik T; Oxford Vaccine Group, Department of Paediatrics, University of Oxfordgrid.4991.5, Oxford, United Kingdom.
  • Simmonds P; NIHR Oxford Biomedical Research Centre, Oxford, United Kingdom.
J Clin Microbiol ; 60(4): e0228321, 2022 04 20.
Article in English | MEDLINE | ID: covidwho-1759279
ABSTRACT
Tools to detect SARS-CoV-2 variants of concern and track the ongoing evolution of the virus are necessary to support public health efforts and the design and evaluation of novel COVID-19 therapeutics and vaccines. Although next-generation sequencing (NGS) has been adopted as the gold standard method for discriminating SARS-CoV-2 lineages, alternative methods may be required when processing samples with low viral loads or low RNA quality. To this aim, an allele-specific probe PCR (ASP-PCR) targeting lineage-specific single nucleotide polymorphisms (SNPs) was developed and used to screen 1,082 samples from two clinical trials in the United Kingdom and Brazil. Probit regression models were developed to compare ASP-PCR performance against 1,771 NGS results for the same cohorts. Individual SNPs were shown to readily identify specific variants of concern. ASP-PCR was shown to discriminate SARS-CoV-2 lineages with a higher likelihood than NGS over a wide range of viral loads. The comparative advantage for ASP-PCR over NGS was most pronounced in samples with cycle threshold (CT) values between 26 and 30 and in samples that showed evidence of degradation. Results for samples screened by ASP-PCR and NGS showed 99% concordant results. ASP-PCR is well suited to augment but not replace NGS. The method can differentiate SARS-CoV-2 lineages with high accuracy and would be best deployed to screen samples with lower viral loads or that may suffer from degradation. Future work should investigate further destabilization from primer-target base mismatch through altered oligonucleotide chemistry or chemical additives.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: J Clin Microbiol Year: 2022 Document Type: Article Affiliation country: Jcm.02283-21

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: J Clin Microbiol Year: 2022 Document Type: Article Affiliation country: Jcm.02283-21