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Mutation Detection in Patients with Retinal Dystrophies Using Targeted Next Generation Sequencing.

Authors :
Nicole Weisschuh
Anja K Mayer
Tim M Strom
Susanne Kohl
Nicola Glöckle
Max Schubach
Sten Andreasson
Antje Bernd
David G Birch
Christian P Hamel
John R Heckenlively
Samuel G Jacobson
Christina Kamme
Ulrich Kellner
Erdmute Kunstmann
Pietro Maffei
Charlotte M Reiff
Klaus Rohrschneider
Thomas Rosenberg
Günther Rudolph
Rita Vámos
Balázs Varsányi
Richard G Weleber
Bernd Wissinger
Source :
PLoS ONE, Vol 11, Iss 1, p e0145951 (2016)
Publication Year :
2016
Publisher :
Public Library of Science (PLoS), 2016.

Abstract

Retinal dystrophies (RD) constitute a group of blinding diseases that are characterized by clinical variability and pronounced genetic heterogeneity. The different nonsyndromic and syndromic forms of RD can be attributed to mutations in more than 200 genes. Consequently, next generation sequencing (NGS) technologies are among the most promising approaches to identify mutations in RD. We screened a large cohort of patients comprising 89 independent cases and families with various subforms of RD applying different NGS platforms. While mutation screening in 50 cases was performed using a RD gene capture panel, 47 cases were analyzed using whole exome sequencing. One family was analyzed using whole genome sequencing. A detection rate of 61% was achieved including mutations in 34 known and two novel RD genes. A total of 69 distinct mutations were identified, including 39 novel mutations. Notably, genetic findings in several families were not consistent with the initial clinical diagnosis. Clinical reassessment resulted in refinement of the clinical diagnosis in some of these families and confirmed the broad clinical spectrum associated with mutations in RD genes.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.3266adb14a06463ea339fc8ac073fe8e
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0145951