Evidence map›Paper›PMID 34963097›Full record

ArticleDiagnostic microbiology and infectious disease2022

SARS-CoV-2 variant detection with ADSSpike.

Daniel Castañeda-Mogollón, Claire Kamaliddin, Laura Fine, Lisa K Oberding, Dylan R Pillai

Open access · hybridAbstract read
In one paragraph

Article in Diagnostic microbiology and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  3. Review
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  5. Review
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

5 authors at 1 institution in 1 country.

Daniel Castañeda-MogollónCumming School of Medicine, Department of Pathology & Laboratory Medicine, the University of Calgary, Alberta, Canada; Cumming School of Medicine, Department of Microbiology, Immunology, and Infectious Diseases, the University of Calgary, Canada; Calvin, Phoebe & Joan Snyder Institute for Chronic Diseases, the University of Calgary, Calgary, Alberta, Canada.
Claire KamaliddinCumming School of Medicine, Department of Pathology & Laboratory Medicine, the University of Calgary, Alberta, Canada; Cumming School of Medicine, Department of Microbiology, Immunology, and Infectious Diseases, the University of Calgary, Canada; Calvin, Phoebe & Joan Snyder Institute for Chronic Diseases, the University of Calgary, Calgary, Alberta, Canada.
Laura FineCumming School of Medicine, Department of Pathology & Laboratory Medicine, the University of Calgary, Alberta, Canada; Cumming School of Medicine, Department of Microbiology, Immunology, and Infectious Diseases, the University of Calgary, Canada; Calvin, Phoebe & Joan Snyder Institute for Chronic Diseases, the University of Calgary, Calgary, Alberta, Canada.
Lisa K OberdingCumming School of Medicine, Department of Pathology & Laboratory Medicine, the University of Calgary, Alberta, Canada; Cumming School of Medicine, Department of Microbiology, Immunology, and Infectious Diseases, the University of Calgary, Canada; Calvin, Phoebe & Joan Snyder Institute for Chronic Diseases, the University of Calgary, Calgary, Alberta, Canada.
Dylan R PillaiCumming School of Medicine, Department of Pathology & Laboratory Medicine, the University of Calgary, Alberta, Canada; Cumming School of Medicine, Department of Microbiology, Immunology, and Infectious Diseases, the University of Calgary, Canada; Calvin, Phoebe & Joan Snyder Institute for Chronic Diseases, the University of Calgary, Calgary, Alberta, Canada; Alberta Precision Laboratories, Diagnostic & Scientific Centre, Calgary, Alberta, Canada. Electronic address: drpillai@ucalgary.ca.
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 coronavirus pandemic has been an unprecedented challenge to global pandemic response and preparedness. With the continuous appearance of new SARS-CoV-2 variants, it is imperative to implement tools for genomic surveillance and diagnosis in order to decrease viral transmission and prevalence. The ADSSpike workflow was developed with the goal of identifying signature SNPs from the S gene associated with SARS-CoV-2 variants through amplicon deep sequencing. Seventy-two samples were sequenced, and 30 mutations were identified. Among those, signature SNPs were linked to 2 Zeta-VOI (P.2) samples and one to the Alpha-VOC (B.1.17). An average depth of 700 reads was found to properlycorrectly identify all SNPs and deletions pertinent to SARS-CoV-2 mutants. ADSSpike is the first workflow to provide a practical, cost-effective, and scalable solution to diagnose SARS-CoV-2 VOC/VOI in the clinical laboratory, adding a valuable tool to public health measures to fight the COVID-19 pandemic for approximately $41.85 USD/reaction.

Indexed as

COVID-19SARS-CoV-2GenomicsHumansMutationPandemicsAmplicon deep sequencingSARS-CoV-2S geneVariants of concernVariants of interest

Identifiers

PMID34963097
PMCPMC8608664
OpenAlexW3216907910

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.