Evidence map›Paper›PMID 22607986›Full record

ArticleBMC medical genomics2012

Molecular diagnostics for congenital hearing loss including 15 deafness genes using a next generation sequencing platform.

Sarah De Keulenaer, Jan Hellemans, Steve Lefever, Jean-Pierre Renard, Joachim De Schrijver, Hendrik Van de Voorde, Mohammad Amin Tabatabaiefar, Filip Van Nieuwerburgh, Daisy Flamez, Filip Pattyn and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Beyond Cell-Cell Adhesion: Sensational Cadherins for Hearing and Balance.Cold Spring Harbor perspectives in biology · 2018
    Review
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Targeted resequencing and variant validation using pxlence PCR assays.Biomolecular detection and quantification · 2016
    Article
  10. Article
  11. Massively Parallel Sequencing for Genetic Diagnosis of Hearing Loss: The New Standard of Care.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2015
    Review
  12. Article
  13. Article
  14. Article
  15. Targeted next-generation sequencing of deafness genes in hearing-impaired individuals uncovers informative mutations.Genetics in medicine : official journal of the American College of Medical Genetics · 2014
    Article
  16. Article
  17. Hearing impairment and language delay in infants: Diagnostics and genetics.GMS current topics in otorhinolaryngology, head and neck surgery · 2014
    Review
  18. Article
  19. Article
  20. 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

17 authors at 4 institutions in 2 countries.

Sarah De KeulenaerNXTGNT, Ghent University, Ghent, Belgium.
Jan Hellemans
Steve Lefever
Jean-Pierre Renard
Joachim De Schrijver
Hendrik Van de Voorde
Mohammad Amin Tabatabaiefar
Filip Van Nieuwerburgh
Daisy Flamez
Filip Pattyn
Bieke Scharlaken
Dieter Deforce
Sofie Bekaert
Wim Van Criekinge
Jo Vandesompele
Guy Van Camp
Paul Coucke
Ghent University · BEGhent University Hospital · BEAhvaz Jundishapur University of Medical Sciences · IRUniversity of Antwerp · BE

Funding

Action on Hearing Loss G45
6 · The paper itself

Abstract

backgroundHereditary hearing loss (HL) can originate from mutations in one of many genes involved in the complex process of hearing. Identification of the genetic defects in patients is currently labor intensive and expensive. While screening with Sanger sequencing for GJB2 mutations is common, this is not the case for the other known deafness genes (> 60). Next generation sequencing technology (NGS) has the potential to be much more cost efficient. Published methods mainly use hybridization based target enrichment procedures that are time saving and efficient, but lead to loss in sensitivity. In this study we used a semi-automated PCR amplification and NGS in order to combine high sensitivity, speed and cost efficiency.

resultsIn this proof of concept study, we screened 15 autosomal recessive deafness genes in 5 patients with congenital genetic deafness. 646 specific primer pairs for all exons and most of the UTR of the 15 selected genes were designed using primerXL. Using patient specific identifiers, all amplicons were pooled and analyzed using the Roche 454 NGS technology. Three of these patients are members of families in which a region of interest has previously been characterized by linkage studies. In these, we were able to identify two new mutations in CDH23 and OTOF. For another patient, the etiology of deafness was unclear, and no causal mutation was found. In a fifth patient, included as a positive control, we could confirm a known mutation in TMC1.

conclusionsWe have developed an assay that holds great promise as a tool for screening patients with familial autosomal recessive nonsyndromal hearing loss (ARNSHL). For the first time, an efficient, reliable and cost effective genetic test, based on PCR enrichment, for newborns with undiagnosed deafness is available.

Indexed as

Connexin 26ConnexinsDeafnessHigh-Throughput Nucleotide SequencingHumansMolecular Diagnostic TechniquesPolymerase Chain ReactionConnexin 26ConnexinsGJB2 protein, human

Identifiers

PMID22607986
PMCPMC3443074
OpenAlexW2089787897

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.