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Screening copy number variations in 35 unsolved inherited retinal disease families.

Authors :
Liu, Xiaozhen
Dai, Hehua
Li, Genlin
Jia, Ruixuan
Meng, Xiang
Yu, Shicheng
Yang, Liping
Hong, Jing
Source :
Human Genetics; Feb2024, Vol. 143 Issue 2, p197-210, 14p
Publication Year :
2024

Abstract

The purpose of this study was to screen Copy Number Variations (CNVs) in 35 unsolved Inherited Retinal Dystrophy (IRD) families. Initially, next generation sequencing, including a specific Hereditary Eye Disease Enrichment Panel or Whole exome sequencing, was employed to screen (likely) pathogenic Single-nucleotide Variants (SNVs) and small Insertions and Deletions (indels) for these cases. All available SNVs and indels were further validated and co-segregation analyses were performed in available family members by Sanger sequencing. If not, after excluding deep intronic variants, Multiplex ligation-dependent probe amplification (MLPA), quantitative fluorescence PCR (QF-PCR) and Sanger sequencing were employed to screen CNVs. We determined that 18 probands who had heterozygous SNVs/indels or whose parents were not consanguineous but had homozygous SNVs/indels in autosomal recessive IRDs genes had CNVs in another allele of these genes, 11 families had disease-causing hemizygous CNVs in X-linked IRD genes, 6 families had (likely) pathogenic heterozygous CNVs in PRPF31 gene. Of 35 families, 33 different CNVs in 16 IRD-associated genes were detected, with PRPF31, EYS and USH2A the most common disease-causing gene in CNVs. Twenty-six and 7 of them were deletion and duplication CNVs, respectively. Among them, 14 CNVs were first reported in this study. Our research indicates that CNVs contribute a lot to IRDs, and screening of CNVs substantially increases the diagnostic rate of IRD. Our results emphasize that MLPA and QF-PCR are ideal methods to validate CNVs, and the novel CNVs reported herein expand the mutational spectrums of IRDs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03406717
Volume :
143
Issue :
2
Database :
Complementary Index
Journal :
Human Genetics
Publication Type :
Academic Journal
Accession number :
175566437
Full Text :
https://doi.org/10.1007/s00439-023-02631-4