Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/196019
Title: Scaling new heights in the genetic diagnosis of inherited retinal dystrophies
Author: Gonzàlez-Duarte, Roser
de Castro-Miró, Marta
Tuson, Miquel
Ramírez-Castañeda, Valeria
Valero-Gils, Rebeca
Marfany i Nadal, Gemma
Keywords: Malalties de la retina
Diagnòstic
Genètica
Retinal diseases
Diagnosis
Genetics
Issue Date: 29-Dec-2019
Publisher: Springer Verlag
Abstract: During the last 20 years, our group has focused on identifying the genes and mutations causative of inherited retinal dystrophies (IRDs). By applying massive sequencing approaches (NGS) in more than 500 familial and sporadic cases, we attained high diagnostic efficiency (85%) with a custom target gene panel and over 75% using whole exome sequencing (WES). Close to 40% of pathogenic alleles are novel mutations, which demand specific in silico tests and in vitro assays. Notably, missense variants are by far the most common type of mutation identified (around 40%), with small in-frame indels being less frequent (2%). To fill the gap of unsolved cases, when no candidate gene or only a single pathogenic allele has been identified, additional scientific and technical issues remain to be addressed. Reliable detection of genomic rearrangements and copy number variants (partial or complete), deep intronic mutations, variants that cause aberrant splicing events in retina-specific transcripts, functional assessment of hypomorphic missense alleles, mutations in regulatory sequences, the contribution of modifier genes to the IRD phenotype, and detection of low heteroplasmy mtDNA mutations are among the new challenges to be met.
Note: Versió postprint del document publicat a: https://doi.org/10.1007/978-3-030-27378-1_35
It is part of: Advances in Experimental Medicine and Biology, 2019, vol. 1185, p. 215-219
URI: http://hdl.handle.net/2445/196019
Related resource: https://doi.org/10.1007/978-3-030-27378-1_35
ISSN: 0065-2598
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

Files in This Item:
File Description SizeFormat 
695110.pdf523.96 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.