Systematic assessment of the contribution of structural variants to inherited retinal diseases.

TitleSystematic assessment of the contribution of structural variants to inherited retinal diseases.
Publication TypeJournal Article
Year of Publication2023
AuthorsWen, S, Wang, M, Qian, X, Li, Y, Wang, K, Choi, J, Pennesi, ME, Yang, P, Marra, M, Koenekoop, RK, Lopez, I, Matynia, A, Gorin, M, Sui, R, Yao, F, Goetz, K, Porto, FBelga Otto, Chen, R
JournalHum Mol Genet
Date Published2023 Feb 22

Despite increasing success in determining genetic diagnosis for patients with inherited retinal diseases (IRDs), mutations in about 30% of the IRD cases remain unclear or unsettled after targeted gene panel or whole exome sequencing. In this study, we aimed to investigate the contributions of structural variants (SVs) to settling the molecular diagnosis of IRD with whole-genome sequencing (WGS). A cohort of 755 IRD patients whose pathogenic mutations remain undefined was subjected to WGS. Four SV calling algorithms including include MANTA, DELLY, LUMPY, and CNVnator were used to detect SVs throughout the genome. All SVs identified by any one of these four algorithms were included for further analysis. AnnotSV was used to annotate these SVs. SVs that overlap with known IRD-associated genes were examined with sequencing coverage, junction reads, and discordant read pairs. PCR followed by Sanger sequencing was used to further confirm the SVs and identify the breakpoints. Segregation of the candidate pathogenic alleles with the disease was performed when possible. In total, sixteen candidate pathogenic SVs were identified in sixteen families, including deletions and inversions, representing 2.1% of patients with previously unsolved IRDs. Autosomal dominant, autosomal recessive, and X-linked inheritance of disease-causing SVs were observed in 12 different genes. Among these, SVs in CLN3, EYS, PRPF31 were found in multiple families. Our study suggests that the contribution of SVs detected by short-read WGS is about 0.25% of our IRD patient cohort and is significantly lower than that of single nucleotide changes and small insertions and deletions.

Alternate JournalHum Mol Genet
PubMed ID36811936