Skip to main navigation Skip to search Skip to main content

Molecular genetic analysis using targeted NGS analysis of 677 individuals with retinal dystrophy

Cathrine Jespersgaard, Mingyan Fang, Mette Bertelsen, Xiao Dang, Hanne Jensen, Yulan Chen, Niels Bech, Lanlan Dai, Thomas Rosenberg, Jianguo Zhang, Lisbeth Birk Møller, Zeynep Tümer, Karen Brøndum-Nielsen, Karen Grønskov

106 Citations (Scopus)

Abstract

Inherited retinal diseases (IRDs) are a common cause of visual impairment. IRD covers a set of genetically highly heterogeneous disorders with more than 150 genes associated with one or more clinical forms of IRD. Molecular genetic diagnosis has become increasingly important especially due to expanding number of gene therapy strategies under development. Next generation sequencing (NGS) of gene panels has proven a valuable diagnostic tool in IRD. We present the molecular findings of 677 individuals, residing in Denmark, with IRD and report 806 variants of which 187 are novel. We found that deletions and duplications spanning one or more exons can explain 3% of the cases, and thus copy number variation (CNV) analysis is important in molecular genetic diagnostics of IRD. Seven percent of the individuals have variants classified as pathogenic or likely-pathogenic in more than one gene. Possible Danish founder variants in EYS and RP1 are reported. A significant number of variants were classified as variants with unknown significance; reporting of these will hopefully contribute to the elucidation of the actual clinical consequence making the classification less troublesome in the future. In conclusion, this study underlines the relevance of performing targeted sequencing of IRD including CNV analysis as well as the importance of interaction with clinical diagnoses.

Original languageEnglish
Article number1219
JournalScientific Reports
Volume9
Issue number1
Pages (from-to)1219
ISSN2045-2322
DOIs
Publication statusPublished - 4 Feb 2019

Fingerprint

Dive into the research topics of 'Molecular genetic analysis using targeted NGS analysis of 677 individuals with retinal dystrophy'. Together they form a unique fingerprint.

Cite this