1. Diagnostic genome sequencing improves diagnostic yield in a single center study of 100 patients with non-syndromic and syndromic hearing impairment.
- Author
-
Dahl Rendtorff, N., Tranebjærg, L., and Bertelsen, M.
- Subjects
- *
HEARING disorder diagnosis , *CONFERENCES & conventions , *HEARING disorders , *GENETIC testing , *SEQUENCE analysis , *GENOMES - Abstract
Introduction: Hearing impairment (HI) is a common sensory disorder, which is genetically heterogeneous. Identification of causative variants underlying HI is challenging, since >100 genes for non-syndromic HI and >450 genes for syndromic HI have been reported. Material and methods: In this study, 100 index patients with HI and variable additional clinical features underwent whole genome sequencing (WGS) in clinical settings. The samples were analyzed using virtual gene-panels of 174 (76% of patients) or 500 genes, respectively, for patients suspected of having non-syndromic and syndromic HI. Nine patients had prior to WGS been prescreened for DFNB1, SLC26A4-and/or STRC-related HI and six using gene-panels for HI. Results: A definite genetic diagnosis was made in 42/100 patients, distributed in 25 different genes. In total, 45 different likely pathogenic/pathogenic variants were detected, and 14 variants were novel. In addition, six patients had variants of uncertain significance (VUS) identified, where further work-up was recommended, which might change the classification to likely pathogenic. Finally, in an additional ten patients only one pathogenic variant was identified, so far. Variants in rare/recently identified genes causative of HI included PLS1 and ATOH1. Conclusions: WGS allowed detection of a definite or possible genetic diagnosis in ~48% of 100 cases (~53% excluding patients with unilateral HI and patients prescreened with previous NGS HI panel). Causative variants were found in >25 different genes, including both common and rare/recently identified HI genes, emphasizing the genetic heterogeneity of the condition. In non-solved selected families, the data will be re-analyzed with improved methods. [ABSTRACT FROM AUTHOR]
- Published
- 2024