Ending diagnostic odyssey by reanalysis of whole exome sequencing data: reclassification of suspected Fanconi anemia cases to dyskeratosis congenita and Diamond-Blackfan anemia

This study underscores the clinical value of reanalyzing existing genomic data in unresolved suspected genetic disorders, even when phenotype-specific assays are negative. The 33.3% diagnostic yield aligns with gains from larger reanalysis studies (10-25%). Systematic reassessment after sufficient time (24 + months) for genomic advancements offers a cost-effective diagnostic approach for long-undiagnosed cases, highlighting the dynamic nature of genomic interpretation as gene-disease understanding evolves.

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Publication Details

Journal
Orphanet Journal of Rare Diseases
Published
2025-10-14
DOI
https://doi.org/10.1186/s13023-025-03928-5
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

Ending diagnostic odyssey by reanalysis of whole exome sequencing data: reclassification of suspected Fanconi anemia cases to dyskeratosis congenita and Diamond-Blackfan anemia

María Carla Piazzon de Haro, Benjamín Rodríguez‐Santiago, Eudald Tejero, Jordi Surrallés et al.
Orphanet Journal of Rare Diseases
Genomics and Rare Diseases
article

Ending diagnostic odyssey by reanalysis of whole exome sequencing data: reclassification of suspected Fanconi anemia cases to dyskeratosis congenita and Diamond-Blackfan anemia

María Carla Piazzon de Haro, Benjamín Rodríguez‐Santiago, Eudald Tejero, Jordi Surrallés, Massimo Bogliolo, Roser Pujol
article en

Abstract

This study underscores the clinical value of reanalyzing existing genomic data in unresolved suspected genetic disorders, even when phenotype-specific assays are negative. The 33.3% diagnostic yield aligns with gains from larger reanalysis studies (10-25%). Systematic reassessment after sufficient time (24 + months) for genomic advancements offers a cost-effective diagnostic approach for long-undiagnosed cases, highlighting the dynamic nature of genomic interpretation as gene-disease understanding evolves.

Orphanet Journal of Rare DiseasesVol. 20(1)
Universitat Autònoma de Barcelona (ES), Hospital de Sant Pau (ES), Instituto de Investigación de Enfermedades Raras (ES)
Fundació la Marató de TV3, Ministerio de Ciencia, Innovación y Universidades, European Commission, Institució Catalana de Recerca i Estudis Avançats, Agència de Gestió d'Ajuts Universitaris i de Recerca, Instituto de Salud Carlos III, Agencia Estatal de Investigación
Openalex Percentile: Top 69%
Genomics and Rare Diseases
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