Academic Journal
Combining a prioritization strategy and functional studies nominates 5’UTR variants underlying inherited retinal disease
| Title: | Combining a prioritization strategy and functional studies nominates 5’UTR variants underlying inherited retinal disease |
|---|---|
| Authors: | Alfredo Dueñas Rey, Marta del Pozo Valero, Manon Bouckaert, Katherine A Wood, Filip Van den Broeck, Malena Daich Varela, Huw B Thomas, Mattias Van Heetvelde, Marieke De Bruyne, Stijn Van de Sompele, Miriam Bauwens, Hanne Lenaerts, Quinten Mahieu, Dragana Josifova, Genomics England Research Consortium, Carlo Rivolta, Raymond T O’Keefe, Jamie Ellingford, Andrew R Webster, Gavin Arno, Carmen Ayuso, Julie De Zaeytijd, Bart P Leroy, Elfride De Baere, Frauke Coppieters |
| Source: | Genome Medicine, Vol 16, Iss 1, Pp 1-21 (2024) |
| Publisher Information: | BMC, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Medicine LCC:Genetics |
| Subject Terms: | 5’untranslated region (5’UTR), Upstream open reading frame (uORF), Non-coding variation, Whole genome sequencing (WGS), Whole exome sequencing (WES), In silico prioritization, Medicine, Genetics, QH426-470 |
| More Details: | Abstract Background 5’ untranslated regions (5’UTRs) are essential modulators of protein translation. Predicting the impact of 5’UTR variants is challenging and rarely performed in routine diagnostics. Here, we present a combined approach of a comprehensive prioritization strategy and functional assays to evaluate 5’UTR variation in two large cohorts of patients with inherited retinal diseases (IRDs). Methods We performed an isoform-level re-analysis of retinal RNA-seq data to identify the protein-coding transcripts of 378 IRD genes with highest expression in retina. We evaluated the coverage of their 5’UTRs by different whole exome sequencing (WES) kits. The selected 5’UTRs were analyzed in whole genome sequencing (WGS) and WES data from IRD sub-cohorts from the 100,000 Genomes Project (n = 2397 WGS) and an in-house database (n = 1682 WES), respectively. Identified variants were annotated for 5’UTR-relevant features and classified into seven categories based on their predicted functional consequence. We developed a variant prioritization strategy by integrating population frequency, specific criteria for each category, and family and phenotypic data. A selection of candidate variants underwent functional validation using diverse approaches. Results Isoform-level re-quantification of retinal gene expression revealed 76 IRD genes with a non-canonical retina-enriched isoform, of which 20 display a fully distinct 5’UTR compared to that of their canonical isoform. Depending on the probe design, 3–20% of IRD genes have 5’UTRs fully captured by WES. After analyzing these regions in both cohorts, we prioritized 11 (likely) pathogenic variants in 10 genes (ARL3, MERTK, NDP, NMNAT1, NPHP4, PAX6, PRPF31, PRPF4, RDH12, RD3), of which 7 were novel. Functional analyses further supported the pathogenicity of three variants. Mis-splicing was demonstrated for the PRPF31:c.-9+1G>T variant. The MERTK:c.-125G>A variant, overlapping a transcriptional start site, was shown to significantly reduce both luciferase mRNA levels and activity. The RDH12:c.-123C>T variant was found in cis with the hypomorphic RDH12:c.701G>A (p.Arg234His) variant in 11 patients. This 5’UTR variant, predicted to introduce an upstream open reading frame, was shown to result in reduced RDH12 protein but unaltered mRNA levels. Conclusions This study demonstrates the importance of 5’UTR variants implicated in IRDs and provides a systematic approach for 5’UTR annotation and validation that is applicable to other inherited diseases. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1756-994X |
| Relation: | https://doaj.org/toc/1756-994X |
| DOI: | 10.1186/s13073-023-01277-1 |
| Access URL: | https://doaj.org/article/3ef1b0b6663c4cf89d5498ab57ec00ff |
| Accession Number: | edsdoj.3ef1b0b6663c4cf89d5498ab57ec00ff |
| Database: | Directory of Open Access Journals |
| Full text is not displayed to guests. | Login for full access. |
| ISSN: | 1756994X |
|---|---|
| DOI: | 10.1186/s13073-023-01277-1 |
| Published in: | Genome Medicine |
| Language: | English |