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Whole genome sequencing identifies elusive variants in genetically unsolved Italian inherited retinal disease patients.

Authors :
Zeuli R
Karali M
de Bruijn SE
Rodenburg K
Scarpato M
Capasso D
Astuti GDN
Gilissen C
Rodríguez-Hidalgo M
Ruiz-Ederra J
Testa F
Simonelli F
Cremers FPM
Banfi S
Roosing S
Source :
HGG advances [HGG Adv] 2024 Jul 18; Vol. 5 (3), pp. 100314. Date of Electronic Publication: 2024 May 29.
Publication Year :
2024

Abstract

Inherited retinal diseases (IRDs) are a group of rare monogenic diseases with high genetic heterogeneity (pathogenic variants identified in over 280 causative genes). The genetic diagnostic rate for IRDs is around 60%, mainly thanks to the routine application of next-generation sequencing (NGS) approaches such as extensive gene panels or whole exome analyses. Whole-genome sequencing (WGS) has been reported to improve this diagnostic rate by revealing elusive variants, such as structural variants (SVs) and deep intronic variants (DIVs). We performed WGS on 33 unsolved cases with suspected autosomal recessive IRD, aiming to identify causative genetic variants in non-coding regions or to detect SVs that were unexplored in the initial screening. Most of the selected cases (30 of 33, 90.9%) carried monoallelic pathogenic variants in genes associated with their clinical presentation, hence we first analyzed the non-coding regions of these candidate genes. Whenever additional pathogenic variants were not identified with this approach, we extended the search for SVs and DIVs to all IRD-associated genes. Overall, we identified the missing causative variants in 11 patients (11 of 33, 33.3%). These included three DIVs in ABCA4, CEP290 and RPGRIP1; one non-canonical splice site (NCSS) variant in PROM1 and three SVs (large deletions) in EYS, PCDH15 and USH2A. For the previously unreported DIV in CEP290 and for the NCCS variant in PROM1, we confirmed the effect on splicing by reverse transcription (RT)-PCR on patient-derived RNA. This study demonstrates the power and clinical utility of WGS as an all-in-one test to identify disease-causing variants missed by standard NGS diagnostic methodologies.<br />Competing Interests: Declaration of interests The authors declare no competing interests.<br /> (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
2666-2477
Volume :
5
Issue :
3
Database :
MEDLINE
Journal :
HGG advances
Publication Type :
Academic Journal
Accession number :
38816995
Full Text :
https://doi.org/10.1016/j.xhgg.2024.100314