Observational studyJournal of the European Academy of Dermatology and Venereology : JEADV2025
Evolution of genome diagnostics in epidermolysis bullosa: Unveiling the power of next-generation sequencing.
Observational study in Journal of the European Academy of Dermatology and Venereology : JEADV, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- From the Microscope to the Genome: A New Era in the Molecular Genetics of Epidermolysis Bullosa.International journal of molecular sciences · 2026Review
- Next-generation sequencing: Driving a paradigm shift from pathogen detection to systems-level analysis.Infectious medicine · 2026Article
- The Economic Burden of Epidermolysis Bullosa: A Scoping Review.Dermatology (Basel, Switzerland) · 2026Review
- Evolution of genome diagnostics in epidermolysis bullosa: Unveiling the power of next-generation sequencing.Journal of the European Academy of Dermatology and Venereology : JEADV · 2025Observational
- The power of next-generation-sequencing: A game-changer with limitations.Journal of the European Academy of Dermatology and Venereology : JEADV · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
backgroundGenome diagnostics is considered gold standard diagnostics for epidermolysis bullosa (EB), a phenotypically and genetically heterogeneous group of rare disorders characterized by blistering and wounding of mucocutaneous tissues. EB is caused by pathogenic variants in genes encoding proteins of the dermo-epidermal junction. Accurate genetic diagnosis of EB is crucial for prognostication, counselling and precision-medicine. Genome diagnostics for EB started in 1991 with the introduction of Sanger sequencing (SS), analysing one gene at a time. In 2013, SS was superseded by next-generation sequencing (NGS), that allow for high-throughput sequencing of multiple genes in parallel. Several studies have shown a beneficial role for NGS in EB diagnostics, but its true benefit has not been quantified.
objectivesTo determine the benefit of NGS in EB by systematically evaluating the performance of different genome diagnostics used over time based on robust data from the Dutch EB Registry.
methodsThe diagnostic performances of SS and NGS were systematically evaluated in a retrospective observational study including all index cases with a clinical diagnosis of EB in whom genome diagnostics was performed between 01 January 1994 and 01 January 2022 (n = 308), registered at the Dutch EB Expertise Centre.
resultsOver time, a genetic diagnosis was made in 289/308 (94%) EB cases. The diagnostic yield increased from 89% (SS) to 95% (NGS). Most importantly, NGS significantly reduced diagnostic turnaround time (39 days vs. 211 days, p < 0.001). The likelihood of detecting variants of uncertain significance and additional findings increased from 5% and 1% (SS) to 22% and 13% (NGS) respectively.
conclusionsOur study quantifies the benefit of NGS-based methods and demonstrate they have had a major impact on EB diagnostics through an increased diagnostic yield and a dramatically decreased turnaround time (39 days). Although our diagnostic yield is high (95%), further improvement of genome diagnostics is urgently needed to provide a genetic diagnosis in all EB patients.
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