Evidence map›Paper›PMID 41293576›Full record

ArticleFrontiers in public health2025

Optimizing resources in genomic surveillance: South Carolina's QC-plus approach.

Rachel Cox, Gregory Goodwin, Jessica Freeman, Gabrielle Godfrey, Anyway Kapingidza, Andrew Smith, Julia Scott, Abdoulaye Diedhiou, Karla Buru, Cory J Weaver and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Rachel Cox *South Carolina Department of Public Health, Columbia, SC, United States.
Gregory Goodwin *South Carolina Department of Public Health, Columbia, SC, United States.
Jessica FreemanSouth Carolina Department of Public Health, Columbia, SC, United States.
Gabrielle GodfreySouth Carolina Department of Public Health, Columbia, SC, United States.
Anyway KapingidzaSouth Carolina Department of Public Health, Columbia, SC, United States.
Andrew SmithSouth Carolina Department of Public Health, Columbia, SC, United States.
Julia ScottSouth Carolina Department of Public Health, Columbia, SC, United States.
Abdoulaye DiedhiouSouth Carolina Department of Public Health, Columbia, SC, United States.
Karla BuruSouth Carolina Department of Public Health, Columbia, SC, United States.
Cory J WeaverSouth Carolina Department of Public Health, Columbia, SC, United States.
Ona AdairSouth Carolina Department of Public Health, Columbia, SC, United States.
Jenny MeredithSouth Carolina Department of Public Health, Columbia, SC, United States.
Chukwuemika ArohSouth Carolina First Steps, Columbia, SC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole genome sequencing (WGS) is the gold standard for identifying emerging variants during epidemics but is resource intensive. Traditionally, a low RT-qPCR cycle threshold (Ct) is used to select samples with presumed high viral loads but whether better alternatives exist is unclear. This study introduces and evaluates a Ct-independent method, SCQC-Plus (SCQC+) approach, combining enhanced library preparation and agarose gel-based quality control for selecting samples for sequencing. From June 2022 through December 2024 at the state public health laboratory, over 1,800 SARS-CoV-2 positive clinical samples were sequenced and studied in two phases: retrospectively and prospectively. In the first phase when all PCR positive samples received into the laboratory were sequenced, we simulated the impact of two Ct-restriction thresholds (Ct < 28 and Ct < 30) by excluding those samples from the data. In the prospective phase, we tested three selection strategies on sequencing efficiency: Seq-All, Ct < 30, and SCQC+. Lastly, we compared the variants captured by a centralized state public health laboratory with those of commercial and clinical labs in the state. Results from the retrospective study suggested that Ct restriction of 30 was cost effective but missed variants in circulation. Prospectively, we found that the SCQC+ approach had a comparable cost effectiveness to Ct-restricted approach. Notably the SCQC+ approach halved the fail rate for samples with Ct over 30, resulting in the sequencing of two variants not found among samples with Ct under 30. Finally comparing the variants detected by commercial and clinical laboratories in the state identified unique variants not detected in the sampling of the state public health laboratory. This observation suggested the importance to public health of maintaining such partnerships to enable timely and comprehensive variant surveillance program. The goal of the sequencing program can impact the cost effectiveness of different approaches for sample selection. When the goal is the early detection of emerging or rare variants of concern prior to wide dispersal into the population, we propose a combination of the SCQC+ approach internally and partnership with in-state commercial and clinical laboratories, externally, as important requirements for achieving that goal.

Indexed as

COVID-19GenomicsQuality ControlSARS-CoV-2Whole Genome SequencingHumansProspective StudiesRetrospective StudiesSouth Carolinacycle thresholdgenomic epidemiologypublic health laboratorySouth Carolinavariant surveillancewhole genome sequencing

Identifiers

PMID41293576
PMCPMC12640969

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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.