Back to Search Start Over

Panel-based next generation sequencing as a reliable and efficient technique to detect mutations in unselected patients with retinal dystrophies.

Authors :
Glöckle, Nicola
Kohl, Susanne
Mohr, Julia
Scheurenbrand, Tim
Sprecher, Andrea
Weisschuh, Nicole
Bernd, Antje
Rudolph, Günther
Schubach, Max
Poloschek, Charlotte
Zrenner, Eberhart
Biskup, Saskia
Berger, Wolfgang
Wissinger, Bernd
Neidhardt, John
Source :
European Journal of Human Genetics; Jan2014, Vol. 22 Issue 1, p99-104, 6p
Publication Year :
2014

Abstract

Hereditary retinal dystrophies (RD) constitute a group of blinding diseases that are characterized by clinical variability and pronounced genetic heterogeneity. The different forms of RD can be caused by mutations in >100 genes, including >1600 exons. Consequently, next generation sequencing (NGS) technologies are among the most promising approaches to identify mutations in RD. So far, NGS is not routinely used in gene diagnostics. We developed a diagnostic NGS pipeline to identify mutations in 170 genetically and clinically unselected RD patients. NGS was applied to 105 RD-associated genes. Underrepresented regions were examined by Sanger sequencing. The NGS approach was successfully established using cases with known sequence alterations. Depending on the initial clinical diagnosis, we identified likely causative mutations in 55% of retinitis pigmentosa and 80% of Bardet-Biedl or Usher syndrome cases. Seventy-one novel mutations in 40 genes were newly associated with RD. The genes USH2A, EYS, ABCA4, and RHO were more frequently affected than others. Occasionally, cases carried mutations in more than one RD-associated gene. In addition, we found possible dominant de-novo mutations in cases with sporadic RD, which implies consequences for counseling of patients and families. NGS-based mutation analyses are reliable and cost-efficient approaches in gene diagnostics of genetically heterogeneous diseases like RD. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10184813
Volume :
22
Issue :
1
Database :
Complementary Index
Journal :
European Journal of Human Genetics
Publication Type :
Academic Journal
Accession number :
92940738
Full Text :
https://doi.org/10.1038/ejhg.2013.72