Evidence map›Paper›PMID 39215120›Full record

ArticleScientific reports2024

A program for real-time surveillance of SARS-CoV-2 genetics.

Hayden N Brochu, Kuncheng Song, Qimin Zhang, Qiandong Zeng, Adib Shafi, Matthew Robinson, Jake Humphrey, Bobbi Croy, Lydia Peavy, Minoli Perera and 21 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

31 authors.

Hayden N BrochuLabcorp Center for Excellence in Data Science, AI and Bioinformatics, Burlington, NC, 27215, USA.
Kuncheng SongLabcorp Center for Excellence in Data Science, AI and Bioinformatics, Burlington, NC, 27215, USA.
Qimin ZhangLabcorp Center for Excellence in Data Science, AI and Bioinformatics, Burlington, NC, 27215, USA.
Qiandong ZengLabcorp Center for Excellence in Data Science, AI and Bioinformatics, Burlington, NC, 27215, USA.
Adib ShafiLabcorp Center for Excellence in Data Science, AI and Bioinformatics, Burlington, NC, 27215, USA.
Matthew RobinsonLabcorp Center for Excellence in Data Science, AI and Bioinformatics, Burlington, NC, 27215, USA.
Jake HumphreyLabcorp Center for Excellence in Data Science, AI and Bioinformatics, Burlington, NC, 27215, USA.
Bobbi CroyLabcorp Information Technology, Burlington, NC, 27215, USA.
Lydia PeavyLabcorp Research and Development, Burlington, NC, 27215, USA.
Minoli PereraLabcorp Research and Development, Burlington, NC, 27215, USA.
Scott ParkerLabcorp Research and Development, Burlington, NC, 27215, USA.
John PruittLabcorp Research and Development, Burlington, NC, 27215, USA.
Jason MunroeLabcorp Consumer Genetics Department, Burlington, NC, 27215, USA.
Rama GhattiLabcorp-Sequenom, San Diego, CA, 92121, USA.
Thomas J UrbanLabcorp Research and Development, Burlington, NC, 27215, USA.
Ayla B HarrisLabcorp Research and Development, Burlington, NC, 27215, USA.
David AlfegoLabcorp Center for Excellence in Data Science, AI and Bioinformatics, Burlington, NC, 27215, USA.
Brian NorvellLabcorp Research and Development, Burlington, NC, 27215, USA.
Michael LevandoskiLabcorp Research and Development, Burlington, NC, 27215, USA.
Brian KruegerLabcorp Research and Development, Burlington, NC, 27215, USA.
Jonathan D WilliamsLabcorp Research and Development, Burlington, NC, 27215, USA.
Deborah BolesLabcorp Research and Development, Burlington, NC, 27215, USA.
Melinda B NyeLabcorp Center for Esoteric Testing, Burlington, NC, 27215, USA.
Suzanne E DaleLabcorp Center for Esoteric Testing, Burlington, NC, 27215, USA.
Michael SapetaLabcorp Center for Esoteric Testing, Burlington, NC, 27215, USA.
Christos J PetropoulosLabcorp-Monogram Biosciences, South San Francisco, CA, 94080, USA.
Jonathan MeltzerLabcorp Center for Esoteric Testing, Burlington, NC, 27215, USA.
Marcia EisenbergLabcorp Research and Development, Burlington, NC, 27215, USA.
Oren CohenLabcorp Drug Development, Burlington, NC, 27215, USA.
Stanley LetovskyLabcorp Center for Excellence in Data Science, AI and Bioinformatics, Burlington, NC, 27215, USA.
Lakshmanan K IyerLabcorp Center for Excellence in Data Science, AI and Bioinformatics, Burlington, NC, 27215, USA. iyerl@labcorp.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic brought forth an urgent need for widespread genomic surveillance for rapid detection and monitoring of emerging SARS-CoV-2 variants. It necessitated design, development, and deployment of a nationwide infrastructure designed for sequestration, consolidation, and characterization of patient samples that disseminates de-identified information to public authorities in tight turnaround times. Here, we describe our development of such an infrastructure, which sequenced 594,832 high coverage SARS-CoV-2 genomes from isolates we collected in the United States (U.S.) from March 13th 2020 to July 3rd 2023. Our sequencing protocol ('Virseq') utilizes wet and dry lab procedures to generate mutation-resistant sequencing of the entire SARS-CoV-2 genome, capturing all major lineages. We also characterize 379 clinically relevant SARS-CoV-2 multi-strain co-infections and ensure robust detection of emerging lineages via simulation. The modular infrastructure, sequencing, and analysis capabilities we describe support the U.S. Centers for Disease Control and Prevention national surveillance program and serve as a model for rapid response to emerging pandemics at a national scale.

Indexed as

COVID-19Genome, ViralSARS-CoV-2HumansMutationUnited States

Identifiers

PMID39215120
PMCPMC11364650

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.