Evidence map›Paper›PMID 32326039›Full record

ArticlePathogens (Basel, Switzerland)2020

GoPrime: Development of an In Silico Framework to Predict the Performance of Real-Time PCR Primers and Probes Using Foot-and-Mouth Disease Virus as a Model.

Emma L A Howson, Richard J Orton, Valerie Mioulet, Tiziana Lembo, Donald P King, Veronica L Fowler

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Reality check: testing theFrontiers in cellular and infection microbiology · 2025
    Article
  5. Article
  6. 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

6 authors.

Emma L A HowsonThe Pirbright Institute, Ash Road, Pirbright, Surrey GU24 0NF, UK.
Richard J OrtonInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary & Life Sciences, Graham Kerr Building, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0002-3389-4325
Valerie MiouletThe Pirbright Institute, Ash Road, Pirbright, Surrey GU24 0NF, UK.
Tiziana LemboInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary & Life Sciences, Graham Kerr Building, University of Glasgow, Glasgow G12 8QQ, UK.
Donald P KingThe Pirbright Institute, Ash Road, Pirbright, Surrey GU24 0NF, UK.ORCID 0000-0002-6959-2708
Veronica L FowlerThe Pirbright Institute, Ash Road, Pirbright, Surrey GU24 0NF, UK.

Funding

Biotechnology and Biological Sciences Research Council BBS/E/I/00007035, BBS/E/I/00007036 and BBS/E/I/00007037Biotechnology and Biological Sciences Research Council BBS/E/I/00007036Biotechnology and Biological Sciences Research Council BBS/E/I/00007037Department for Environment, Food and Rural Affairs SE1129Medical Research Council MC_UU_12014/12Tetracore Inc PhD studentshipThe Pirbright Institute Business Development Fund
6 · The paper itself

Abstract

Real-time PCR (rPCR) is a widely accepted diagnostic tool for the detection and quantification of nucleic acid targets. In order for these assays to achieve high sensitivity and specificity, primer and probe-template complementarity is essential; however, mismatches are often unavoidable and can result in false-negative results and errors in quantifying target sequences. Primer and probe sequences therefore require continual evaluation to ensure they remain fit for purpose. This paper describes the development of a linear model and associated computational tool (GoPrime) designed to predict the performance of rPCR primers and probes across multiple sequence data. Empirical data were generated using DNA oligonucleotides (n = 90) that systematically introduced variation in the primer and probe target regions of a diagnostic assay routinely used to detect foot-and-mouth disease virus (FMDV); an animal virus that exhibits a high degree of sequence variability. These assays revealed consistent impacts of patterns of substitutions in primer and probe-sites on rPCR cycle threshold (C

Indexed as

diagnosticsfoot-and-mouth diseasein silico modeling frameworkPCR

Identifiers

PMID32326039
PMCPMC7238122

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.