Evidence map›Paper›PMID 35468749›Full record

ArticleBMC infectious diseases2022

Identification of SARS-CoV-2 variants using viral sequencing for the Centers for Disease Control and Prevention genomic surveillance program.

Chirayu Goswami, Michael Sheldon, Christian Bixby, Mehdi Keddache, Alexander Bogdanowicz, Yihe Wang, Jonathan Schultz, Jessica McDevitt, James LaPorta, Elaine Kwon and 10 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
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  3. Alport Syndrome-Associated PathogenicInternational journal of genomics · 2026
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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

20 authors at 4 institutions in 2 countries.

Chirayu Goswami *Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Michael Sheldon *Infinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Christian BixbyInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Mehdi KeddacheIllumina, 5200 Illumina Way, San Diego, CA, 92122, USA.
Alexander BogdanowiczInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Yihe WangInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Jonathan SchultzInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Jessica McDevittInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
James LaPortaInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Elaine KwonInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Steven BuyskeRutgers University, 559 Hill Center, 110 Frelinghuysen Rd, Piscataway, NJ, 08854, USA.
Dana GarbolinoInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Glenys BiloholowskiInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Alex PastuszakVault Health, 115 Broadway Suite 1800, 18th Floor, Dobbs Ferry, NY, 10522, USA.
Mary StorellaInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Amit BhallaInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Florence Charlier-RodriguezInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Russ HagerInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Robin GrimwoodInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA.
Shareef A NahasInfinity-Biologix LLC, 30 Knightsbridge Road, Piscataway, NJ, 08854, USA. shareef.nahas@infinity-biologix.com.ORCID http://orcid.org/0000-0003-4494-0320
Infinity (United States) · USIllumina (United States) · USRutgers, The State University of New Jersey · USTiGenix (Spain) · ES

Funding

NCCDPHP CDC HHS 75D30121C10587
6 · The paper itself

Abstract

backgroundThe Centers for Disease Control and Prevention contracted with laboratories to sequence the SARS-CoV-2 genome from positive samples across the United States to enable public health officials to investigate the impact of variants on disease severity as well as the effectiveness of vaccines and treatment. Herein we present the initial results correlating RT-PCR quality control metrics with sample collection and sequencing methods from full SARS-CoV-2 viral genomic sequencing of 24,441 positive patient samples between April and June 2021.

methodsRT-PCR confirmed (N Gene Ct value < 30) positive patient samples, with nucleic acid extracted from saliva, nasopharyngeal and oropharyngeal swabs were selected for viral whole genome SARS-CoV-2 sequencing. Sequencing was performed using Illumina COVIDSeq™ protocol on either the NextSeq550 or NovaSeq6000 systems. Informatic variant calling, and lineage analysis were performed using DRAGEN COVID Lineage applications on Illumina's Basespace cloud analytical system. All sequence data and variant calls were uploaded to NCBI and GISAID.

resultsAn association was observed between higher sequencing coverage, quality, and samples with a lower Ct value, with < 27 being optimal, across both sequencing platforms and sample collection methods. Both nasopharyngeal swabs and saliva samples were found to be optimal samples of choice for SARS-CoV-2 surveillance sequencing studies, both in terms of strain identification and sequencing depth of coverage, with NovaSeq 6000 providing higher coverage than the NextSeq 550. The most frequent variants identified were the B.1.617.2 Delta (India) and P.1 Gamma (Brazil) variants in the samples sequenced between April 2021 and June 2021. At the time of submission, the most common variant > 99% of positives sequenced was Omicron.

conclusionThese initial analyses highlight the importance of sequencing platform, sample collection methods, and RT-PCR Ct values in guiding surveillance efforts. These surveillance studies evaluating genetic changes of SARS-CoV-2 have been identified as critical by the CDC that can affect many aspects of public health including transmission, disease severity, diagnostics, therapeutics, and vaccines.

Indexed as

COVID-19SARS-CoV-2Centers for Disease Control and Prevention, U.S.GenomicsHumansUnited StatesCenters for Disease ControlCOVID-19Cycle thresholdLineageNext generation sequencingReverse transcription polymerase chain reactionSARS-CoV-2Variant

Identifiers

PMID35468749
PMCPMC9035976
OpenAlexW4224436915

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.