Evidence map›Paper›PMID 35766514›Full record

ArticleJournal of clinical microbiology2022

A Method for Variant Agnostic Detection of SARS-CoV-2, Rapid Monitoring of Circulating Variants, and Early Detection of Emergent Variants Such as Omicron.

Eric Lai, Emily B Kennedy, Jean Lozach, Kathleen Hayashibara, Jeremy Davis-Turak, David Becker, Pius Brzoska, Tyler Cassens, Evan Diamond, Manoj Gandhi and 16 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. An SNP-based diagnostic method forFrontiers in veterinary science · 2025
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  16. A robust, highly multiplexed mass spectrometry assay to identify SARS-CoV-2 variants.medRxiv : the preprint server for health sciences · 2022
    Article
  17. 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

26 authors at 5 institutions in 1 country.

Eric LaiPersonalized Science, Burlington, Vermont, USA.
Emily B KennedyOOMVELT, Lakewood, Ohio, USA.
Jean LozachROSALIND, San Diego, California, USA.
Kathleen HayashibaraThermo Fisher Scientific, South San Francisco, California, USA.
Jeremy Davis-TurakROSALIND, San Diego, California, USA.
David BeckerHelix OpCo, San Diego, California, USA.
Pius BrzoskaThermo Fisher Scientific, South San Francisco, California, USA.
Tyler CassensHelix OpCo, San Diego, California, USA.
Evan DiamondThermo Fisher Scientific, South San Francisco, California, USA.
Manoj GandhiThermo Fisher Scientific, South San Francisco, California, USA.
Alexander L GreningerUniversity of Washington Medical Center, Seattle, Washington, USA.ORCID 0000-0002-7443-0527
Pooneh HajianUniversity of Washington Medical Center, Seattle, Washington, USA.
Nicole A LeonettiHelix OpCo, San Diego, California, USA.
Jason M NguyenHelix OpCo, San Diego, California, USA.
K M Clair O'DonovanBiocomx, Dana Point, California, USA.
Troy PeckHelix OpCo, San Diego, California, USA.
Jimmy M RamirezHelix OpCo, San Diego, California, USA.
Pavitra RoychoudhuryUniversity of Washington Medical Center, Seattle, Washington, USA.ORCID 0000-0002-4567-8232
Efren SandovalHelix OpCo, San Diego, California, USA.
Cassandra WesselmanROSALIND, San Diego, California, USA.
Timothy WesselmanROSALIND, San Diego, California, USA.
Simon WhiteHelix OpCo, San Diego, California, USA.
Stephen WilliamsThermo Fisher Scientific, South San Francisco, California, USA.
David WongHelix OpCo, San Diego, California, USA.
Yufei YuBiocomx, Dana Point, California, USA.
Richard S CreagerSeegene Technologies, Walnut Creek, California, USA.ORCID 0000-0001-5488-4444
Helix (United States) · USThermo Fisher Scientific (United States) · USUniversity of Washington Medical Center · USBiocom · USBurlington School District · US

Funding

Technology Training and Dissemination CoreU54EB027690 · NIBIB · EMORY UNIVERSITY · PI Wilbur A Lam · 2018 to 2026
$96.1M
Rapid Fluorescence-Based Determination of Antibiotic SusceptibilityU54EB015408 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI PARRISH, JOHN A, SCHACHTER, STEVEN · 2012 to 2022
$49.2M
HHS | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) 75N92022P00030NIBIB NIH HHS U54 EB015408NIBIB NIH HHS U54 EB027690
6 · The paper itself

Abstract

The rapid emergence of SARS-CoV-2 variants raised public health questions concerning the capability of diagnostic tests to detect new strains, the efficacy of vaccines, and how to map the geographical distribution of variants to understand transmission patterns and loads on healthcare resources. Next-generation sequencing (NGS) is the primary method for detecting and tracing new variants, but it is expensive, and it can take weeks before sequence data are available in public repositories. This article describes a customizable reverse transcription PCR (RT-PCR)-based genotyping approach which is significantly less expensive, accelerates reporting, and can be implemented in any lab that performs RT-PCR. Specific single-nucleotide polymorphisms (SNPs) and indels were identified which had high positive-percent agreement (PPA) and negative-percent agreement (NPA) compared to NGS for the major genotypes that circulated through September 11, 2021. Using a 48-marker panel, testing on 1,031 retrospective SARS-CoV-2 positive samples yielded a PPA and NPA ranging from 96.3 to 100% and 99.2 to 100%, respectively, for the top 10 most prevalent World Health Organization (WHO) lineages during that time. The effect of reducing the quantity of panel markers was explored, and a 16-marker panel was determined to be nearly as effective as the 48-marker panel at lineage assignment. Responding to the emergence of Omicron, a genotyping panel was developed which distinguishes Delta and Omicron using four highly specific SNPs. The results demonstrate the utility of the condensed panel to rapidly track the growing prevalence of Omicron across the US in December 2021 and January 2022.

Indexed as

COVID-19SARS-CoV-2HumansNucleic Acid Amplification TechniquesRetrospective StudiesCOVID-19Deltagenotypingin vitro diagnosticsmutationsnext-generation sequencingOmicronRT-PCRSARS-CoV-2variants

Identifiers

PMID35766514
PMCPMC9297815
OpenAlexW4283717405

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.