Improving the management of Inherited Retinal Dystrophies by targeted sequencing of a population-specific gene panel.

TitleImproving the management of Inherited Retinal Dystrophies by targeted sequencing of a population-specific gene panel.
Publication TypeJournal Article
Year of Publication2016
AuthorsBravo-Gil, N, Méndez-Vidal, C, Romero-Pérez, L, del Pozo, MGonzález-, de la Rúa, ERodríguez, Dopazo, J, Borrego, S, Antiňolo, G
JournalScientific reports
Volume6
Pagination23910
Date Published2016
ISSN2045-2322
KeywordsGenetic testing; Hereditary eye disease; Medical genomics; next-generation sequencing; Targeted resequencing
Abstract

Next-generation sequencing (NGS) has overcome important limitations to the molecular diagnosis of Inherited Retinal Dystrophies (IRD) such as the high clinical and genetic heterogeneity and the overlapping phenotypes. The purpose of this study was the identification of the genetic defect in 32 Spanish families with different forms of IRD. With that aim, we implemented a custom NGS panel comprising 64 IRD-associated genes in our population, and three disease-associated intronic regions. A total of 37 pathogenic mutations (14 novels) were found in 73% of IRD patients ranging from 50% for autosomal dominant cases, 75% for syndromic cases, 83% for autosomal recessive cases, and 100% for X-linked cases. Additionally, unexpected phenotype-genotype correlations were found in 6 probands, which led to the refinement of their clinical diagnoses. Furthermore, intra- and interfamilial phenotypic variability was observed in two cases. Moreover, two cases unsuccessfully analysed by exome sequencing were resolved by applying this panel. Our results demonstrate that this hypothesis-free approach based on frequently mutated, population-specific loci is highly cost-efficient for the routine diagnosis of this heterogeneous condition and allows the unbiased analysis of a miscellaneous cohort. The molecular information found here has aid clinical diagnosis and has improved genetic counselling and patient management.

URLhttp://www.nature.com/articles/srep23910
DOI10.1038/srep23910