Evidence map›Paper›PMID 27990344›Full record

ReviewBiomolecular detection and quantification2016

Applicability of digital PCR to the investigation of pediatric-onset genetic disorders.

Matthew E R Butchbach

Open access · greenAbstract readReview
In one paragraph

Review in Biomolecular detection and quantification, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Matthew E R ButchbachCenter for Applied Clinical Genomics, Nemours Biomedical Research, Nemours Alfred I. duPont Hospital for Children, Wilmington, DE, USA; Center for Pediatric Research, Nemours Biomedical Research, Nemours Alfred I. duPont Hospital for Children, Wilmington, DE, USA; Department of Biological Sciences, University of Delaware, Newark, DE, USA; Department of Pediatrics, Thomas Jefferson University, Philadelphia, PA, USA.
Alfred I. duPont Hospital for Children · US

Funding

Center for Pediatric ResearchP20GM103464 · NIGMS · NEMOURS CHILDREN'S HOSPITAL, DELAWARE · PI SHAFFER, THOMAS H · 2012 to 2014
$5.6M
Center for Pediatric Research Pilot ProgramP30GM114736 · NIGMS · NEMOURS CHILDREN'S HOSPITAL, DELAWARE · PI SHAFFER, THOMAS H · 2015 to 2019
$5.1M
NIGMS NIH HHS P20 GM103464NIGMS NIH HHS P30 GM114736
6 · The paper itself

Abstract

Early-onset rare diseases have a strong impact on child healthcare even though the incidence of each of these diseases is relatively low. In order to better manage the care of these children, it is imperative to quickly diagnose the molecular bases for these disorders as well as to develop technologies with prognostic potential. Digital PCR (dPCR) is well suited for this role by providing an absolute quantification of the target DNA within a sample. This review illustrates how dPCR can be used to identify genes associated with pediatric-onset disorders, to identify copy number status of important disease-causing genes and variants and to quantify modifier genes. It is also a powerful technology to track changes in genomic biomarkers with disease progression. Based on its capability to accurately and reliably detect genomic alterations with high sensitivity and a large dynamic detection range, dPCR has the potential to become the tool of choice for the verification of pediatric disease-associated mutations identified by next generation sequencing, copy number determination and noninvasive prenatal screening.

Indexed as

Copy number variationDigital PCRDroplet PCRMendelian diseasesMolecular diagnosticsPediatrics

Identifiers

PMID27990344
PMCPMC5154671
OpenAlexW2507327823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.