• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Theses
  • Research Data
  • Projects
  • Organizations
  • Researchers
  • More
  • Collections
  • Statistics
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. IROme, a new high-throughput molecular tool for the diagnosis of inherited retinal dystrophies.
 

IROme, a new high-throughput molecular tool for the diagnosis of inherited retinal dystrophies.

Options
  • Details
  • Files
BORIS DOI
10.7892/boris.101787
Publisher DOI
10.1155/2013/198089
PubMed ID
23484092
Description
The molecular diagnosis of retinal dystrophies is difficult because of the very important number of genes implicated and is rarely helped by genotype-phenotype correlations. This prompted us to develop IROme, a custom designed in solution-based targeted exon capture assay (SeqCap EZ Choice library, Roche NimbleGen) for 60 retinitis pigmentosa-linked genes and three candidate genes (942 exons). Pyrosequencing was performed on a Roche 454 GS Junior benchtop high-throughput sequencing platform. In total, 23 patients affected by retinitis pigmentosa were analyzed. Per patient, 39.6 Mb were generated, and 1111 sequence variants were detected on average, at a median coverage of 17-fold. After data filtering and sequence variant prioritization, disease-causing mutations were identified in ABCA4, CNGB1, GUCY2D, PROM1, PRPF8, PRPF31, PRPH2, RHO, RP2, and TULP1 for twelve patients (55%), ten mutations having never been reported previously. Potential mutations were identified in 5 additional patients, and in only 6 patients no molecular diagnosis could be established (26%). In conclusion, targeted exon capture and next-generation sequencing are a valuable and efficient approach to identify disease-causing sequence variants in retinal dystrophies.
Date of Publication
2013
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Language(s)
en
Contributor(s)
Schorderet, Daniel F
Iouranova, Alexandra
Favez, Tatiana
Tiab, Leila
Escher, Pascalorcid-logo
Universitätsklinik für Augenheilkunde
Additional Credits
Universitätsklinik für Augenheilkunde
Series
BioMed research international
Publisher
Hindawi Publishing Corporation
ISSN
2314-6133
Access(Rights)
open.access
Show full item
BORIS Portal
Bern Open Repository and Information System
Build: dd892c [ 9.04. 8:30]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
  • Audiovisual Material
  • Software & other digital items
  • Events
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo