SpadaHC: a database to improve the classification of variants in hereditary cancer genes in the Spanish population

Accurate classification of genetic variants is crucial for clinical decision-making in hereditary cancer. In Spain, genetic diagnostic laboratories have traditionally approached this task independently due to the lack of a dedicated resource. Here we present SpadaHC, a web-based database for sharing...

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Detalles Bibliográficos
Autores: Moreno-Cabrera, José M., Feliubadaló, Lidia, Pineda, Marta, Prada-Dacasa, Patricia, Ramos-Muntada, Mireia, Valle, Jesús Del, Brunet, Joan, Gel, Bernat, Currás-Freixes, María, Calsina, Bruna, Salazar-Hidalgo, Milton Eduardo, Rodríguez-Balada, Marta, Roig, Bàrbara, Fernández-Castillejo, Sara, Durán, Mercedes, Arranz-Ledo, Mónica, Infante, Mar, Castillejo, Adela, Dámaso, Estela, Soto, José Luis, Miguel, Montserrat de, Hidalgo Calero, Beatriz, Sánchez-Zapardiel, José M., Ramon Y Cajal, Teresa, Lasa, Adrian, Gisbert-Beamud, Alexandra, López-Novo, Anael, Ruiz-Ponte, Clara, Potrony, Miriam, Álvarez-Mora, María I., Osorio, Ana, Lorda-Sánchez, Isabel, Robledo, Mercedes, Cascón, Alberto, Ruiz, Anna, Spataro, Nino, Hernan, Imma, Borràs, Emma, Moles-Fernández, Alejandro, Earl, Julie, Cadiñanos, Juan, Sánchez-Heras, Ana B., Bigas, Anna, Capellá, Gabriel, Lázaro, Conxi
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/380349
Acceso en línea:http://hdl.handle.net/10261/380349
Access Level:acceso abierto
Descripción
Sumario:Accurate classification of genetic variants is crucial for clinical decision-making in hereditary cancer. In Spain, genetic diagnostic laboratories have traditionally approached this task independently due to the lack of a dedicated resource. Here we present SpadaHC, a web-based database for sharing variants in hereditary cancer genes in the Spanish population. SpadaHC is implemented using a three-tier architecture consisting of a relational database, a web tool and a bioinformatics pipeline. Contributing laboratories can share variant classifications and variants from individuals in Variant Calling Format (VCF) format. The platform supports open and restricted access, flexible dataset submissions, automatic pseudo-anonymization, VCF quality control, variant normalization and liftover between genome builds. Users can flexibly explore and search data, receive automatic discrepancy notifications and access SpadaHC population frequencies based on many criteria. In February 2024, SpadaHC included 18 laboratory members, storing 1.17 million variants from 4306 patients and 16 343 laboratory classifications. In the first analysis of the shared data, we identified 84 genetic variants with clinically relevant discrepancies in their classifications and addressed them through a three-phase resolution strategy. This work highlights the importance of data sharing to promote consistency in variant classifications among laboratories, so patients and family members can benefit from more accurate clinical management.

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