Evidence map›Paper›PMID 36890186›Full record

ArticleScientific reports2023

A high-resolution melt curve toolkit to identify lineage-defining SARS-CoV-2 mutations.

Alice J Fraser, Caitlin Greenland-Bews, Daniel Kelly, Christopher T Williams, LSTM Diagnostics Group, CONDOR Steering Group, Richard Body, Emily R Adams, Ana Cubas Atienzar, Thomas Edwards and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Alice J FraserLondon School of Hygiene and Tropical Medicine, London, UK.
Caitlin Greenland-BewsLiverpool School of Tropical Medicine, Liverpool, UK.
Daniel KellyLondon School of Hygiene and Tropical Medicine, London, UK.
Christopher T WilliamsLiverpool School of Tropical Medicine, Liverpool, UK.
LSTM Diagnostics Group
CONDOR Steering Group
Richard BodyManchester University NHS Foundation Trust, Manchester, UK.
Emily R AdamsLiverpool School of Tropical Medicine, Liverpool, UK.
Ana Cubas AtienzarLiverpool School of Tropical Medicine, Liverpool, UK.
Thomas EdwardsLiverpool School of Tropical Medicine, Liverpool, UK.
David J AllenLondon School of Hygiene and Tropical Medicine, London, UK. david.allen@lshtm.ac.uk.

Funding

Department of Health FALCON (284229)Department of Health RST6_00_03/EPIDZK3828Wellcome Trust
6 · The paper itself

Abstract

The emergence of severe acute respiratory syndrome 2 (SARS-CoV-2) variants of concern (VOCs), with mutations linked to increased transmissibility, vaccine escape and virulence, has necessitated the widespread genomic surveillance of SARS-CoV-2. This has placed a strain on global sequencing capacity, especially in areas lacking the resources for large scale sequencing activities. Here we have developed three separate multiplex high-resolution melting assays to enable the identification of Alpha, Beta, Delta and Omicron VOCs. The assays were evaluated against whole genome sequencing on upper-respiratory swab samples collected during the Alpha, Delta and Omicron [BA.1] waves of the UK pandemic. The sensitivities of the eight individual primer sets were all 100%, and specificity ranged from 94.6 to 100%. The multiplex HRM assays have potential as a tool for high throughput surveillance of SARS-CoV-2 VOCs, particularly in areas with limited genomics facilities.

Indexed as

COVID-19Biological AssayGenomicsHumansMutationSARS-CoV-2

Identifiers

PMID36890186
PMCPMC9994400

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.