Evidence map›Paper›PMID 40005678›Full record

ArticleMicroorganisms2025

Tracing Emergence of SARS-CoV-2 Variants: Insights from Comprehensive Assessment Using Reverse Transcription Polymerase Chain Reaction and Whole Genome Sequencing.

Duyeon Na, Yuna Hong, Chaeyeon Lee, Myungshin Kim

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Duyeon NaCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Yuna HongCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.ORCID 0009-0001-0309-5071
Chaeyeon LeeCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.ORCID 0009-0002-4584-8868
Myungshin KimCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.ORCID 0000-0001-8632-0168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence and evolution of SARS-CoV-2 variants, such as Delta and Omicron, pose significant challenges to pandemic management. This study evaluated the effectiveness of reverse-transcription polymerase chain reaction (RT-PCR) and whole-genome sequencing (WGS) in detecting and characterizing SARS-CoV-2 variants using 624 samples collected in South Korea from mid-2021 to mid-2022. Two RT-PCR genotyping assays demonstrated a high concordance rate (90.4%) in identifying the Delta variant during its dominance. In contrast, WGS revealed extensive genetic diversity among Omicron sub-lineages, identifying 29 distinct sub-lineages, including two South Korea-specific variants (BA.1.1.5 and BA.2.3.8). Clustering analysis of WGS data highlighted distinct groupings of BA.1, BA.2, and BA.5 sub-lineages, with overlap in shared mutations suggesting evolutionary convergence. Sub-lineage diversity expanded during rapid transmission phases and subsequently consolidated as dominant lineages emerged. These findings highlight the complementary strengths of RT-PCR and WGS and underscore the importance of integrating these methodologies for effective variant monitoring and public health response.

Indexed as

reverse-transcription polymerase chain reactionSARS-CoV-2whole-genome sequencing

Identifiers

PMID40005678
PMCPMC11858702

What OpenQuestion holds

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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.