Evidence map›Paper›PMID 34964565›Full record

ArticleTransboundary and emerging diseases2022

Molecular detection of SARS-CoV-2 strains and differentiation of Delta variant strains.

Vaughn Hamill, Lance Noll, Nanyan Lu, Wai Ning Tiffany Tsui, Elizabeth Poulsen Porter, Mark Gray, Tesfaalem Sebhatu, Kyle Goerl, Susan Brown, Rachel Palinski and 4 more

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Design, Synthesis and Biological Exploration of NovelInternational journal of molecular sciences · 2024
    Article
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  8. Review
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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

14 authors.

Vaughn HamillKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.ORCID https://orcid.org/0000-0002-0245-7069
Lance NollKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.
Nanyan LuKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.
Wai Ning Tiffany TsuiKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.
Elizabeth Poulsen PorterKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.
Mark GrayKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.
Tesfaalem SebhatuKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.
Kyle GoerlLafene Health Center, Kansas State University, Manhattan, Kansas, USA.
Susan BrownDivision of Biology, Kansas State University, Manhattan, Kansas, USA.
Rachel PalinskiKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.
Sasha ThomasonKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.
Kelli AlmesKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.
Jamie RetallickKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.
Jianfa BaiKansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, USA.ORCID https://orcid.org/0000-0002-0021-3036

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Douglas E Wright · 2012 to 2026
$63.0M
NIGMS NIH HHS P20 GM103418
6 · The paper itself

Abstract

The Delta variant of SARS-CoV-2 has now become the predominant strain in the global COVID-19 pandemic. Strain coverage of some detection assays developed during the early pandemic stages has declined due to periodic mutations in the viral genome. We have developed a real-time RT-PCR (RT-qPCR) for SARS-CoV-2 detection that provides nearly 100% strain coverage, and differentiation of highly transmissible Delta variant strains. All full or nearly full (≥28 kb) SARS-CoV-2 genomes (n = 403,812), including 6422 Delta and 280 Omicron variant strains, were collected from public databases at the time of analysis and used for assay design. The two amino acid deletions in the spike gene (S-gene, Δ156-157) that is characteristic of the Delta variant were targeted during the assay design. Although strain coverage for the Delta variant was very high (99.7%), detection coverage for non-Delta wild-type strains was 93.9%, mainly due to the confined region of design. To increase strain coverage of the assay, the design for CDC N1 target was added to the assay. In silico analysis of 403,812 genomes indicated a 95.4% strain coverage for the CDC N1 target, however, in combination with our new non-Delta S-gene target, total coverage for non-Delta wild-type strains increased to 99.8%. A human 18S rRNA gene was also analyzed and used as an internal control. The final four-plex RT-qPCR assay generated PCR amplification efficiencies between 95.4% and 102.0% with correlation coefficients (R

Indexed as

COVID-19SARS-CoV-2Amino AcidsAnimalsHumansPandemicsRNA, ViralAmino AcidsRNA, ViralassayCOVID-19Delta variantdiagnosisOmicron variantPCRSARS-CoV-2

Identifiers

PMID34964565
PMCPMC9240106

What OpenQuestion holds

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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.