Evidence map›Paper›PMID 36333366›Full record

ArticleScientific reports2022

Identification of mutations in SARS-CoV-2 PCR primer regions.

Anikó Mentes, Krisztián Papp, Dávid Visontai, József Stéger, VEO Technical Working Group, István Csabai, Anna Medgyes-Horváth, Orsolya Anna Pipek

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. [Preclinical Development Process and Prospects of Real-time Fluorescence Quantitative Polymerase Chain Reaction Detection Kits].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Review
  5. Reality check: testing theFrontiers in cellular and infection microbiology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Mutational Landscape of SARS-CoV-2.International journal of molecular sciences · 2023
    Article
  12. Article
  13. 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

8 authors at 3 institutions in 3 countries.

Anikó MentesDepartment of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary. aniko.mentes@ttk.elte.hu.
Krisztián PappDepartment of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary.
Dávid VisontaiDepartment of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary.
József StégerDepartment of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary.
VEO Technical Working Group
István CsabaiDepartment of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary.
Anna Medgyes-Horváth *Department of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary.
Orsolya Anna Pipek *Department of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary.
Eötvös Loránd University · HUEuropean Bioinformatics Institute · GBErasmus MC · NL

Funding

Horizon 2020-BY-COVID 101046203Horizon 2020-VEO 874735National Research, Development and Innovation Fund of Hungary FIEK_16-1-2016-0005
6 · The paper itself

Abstract

Due to the constantly increasing number of mutations in the SARS-CoV-2 genome, concerns have emerged over the possibility of decreased diagnostic accuracy of reverse transcription-polymerase chain reaction (RT-PCR), the gold standard diagnostic test for SARS-CoV-2. We propose an analysis pipeline to discover genomic variations overlapping the target regions of commonly used PCR primer sets. We provide the list of these mutations in a publicly available format based on a dataset of more than 1.2 million SARS-CoV-2 samples. Our approach distinguishes among mutations possibly having a damaging impact on PCR efficiency and ones anticipated to be neutral in this sense. Samples are categorized as "prone to misclassification" vs. "likely to be correctly detected" by a given PCR primer set based on the estimated effect of mutations present. Samples susceptible to misclassification are generally present at a daily rate of 2% or lower, although particular primer sets seem to have compromised performance when detecting Omicron samples. As different variant strains may temporarily gain dominance in the worldwide SARS-CoV-2 viral population, the efficiency of a particular PCR primer set may change over time, therefore constant monitoring of variations in primer target regions is highly recommended.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansMutationPolymerase Chain ReactionSensitivity and Specificity

Identifiers

PMID36333366
PMCPMC9636223
OpenAlexW4308205086

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.