Evidence map›Paper›PMID 23742985›Full record

ArticleBioinformatics (Oxford, England)2013

Automated design of paralogue ratio test assays for the accurate and rapid typing of copy number variation.

Colin D Veal, Hang Xu, Katherine Reekie, Robert Free, Robert J Hardwick, David McVey, Anthony J Brookes, Edward J Hollox, Christopher J Talbot

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Copy Number Variation in Asthma: An Integrative Review.Clinical reviews in allergy & immunology · 2025
    Review
  2. Article
  3. Evolution of the rapidly mutating human salivary agglutinin gene (DMBT1) and population subsistence strategy.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  4. Article
  5. Review
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

9 authors.

Colin D VealDepartment of Genetics, University of Leicester, Leicester, UK.
Hang Xu
Katherine Reekie
Robert Free
Robert J Hardwick
David McVey
Anthony J Brookes
Edward J Hollox
Christopher J Talbot

Funding

Medical Research Council G0801123Medical Research Council GO801123
6 · The paper itself

Abstract

motivationGenomic copy number variation (CNV) can influence susceptibility to common diseases. High-throughput measurement of gene copy number on large numbers of samples is a challenging, yet critical, stage in confirming observations from sequencing or array Comparative Genome Hybridization (CGH). The paralogue ratio test (PRT) is a simple, cost-effective method of accurately determining copy number by quantifying the amplification ratio between a target and reference amplicon. PRT has been successfully applied to several studies analyzing common CNV. However, its use has not been widespread because of difficulties in assay design.

resultsWe present PRTPrimer (www.prtprimer.org) software for automated PRT assay design. In addition to stand-alone software, the web site includes a database of pre-designed assays for the human genome at an average spacing of 6 kb and a web interface for custom assay design. Other reference genomes can also be analyzed through local installation of the software. The usefulness of PRTPrimer was tested within known CNV, and showed reproducible quantification. This software and database provide assays that can rapidly genotype CNV, cost-effectively, on a large number of samples and will enable the widespread adoption of PRT. AVAILABILITY: PRTPrimer is available in two forms: a Perl script (version 5.14 and higher) that can be run from the command line on Linux systems and as a service on the PRTPrimer web site (www.prtprimer.org).

Indexed as

DNA Copy Number VariationsGene DosageGenotyping TechniquesSoftwareComparative Genomic HybridizationGenome, HumanGenomicsHumans

Identifiers

PMID23742985
PMCPMC3722521

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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.