دورية أكاديمية

Systematic collaborative reanalysis of genomic data improves diagnostic yield in neurologic rare diseases

التفاصيل البيبلوغرافية
العنوان: Systematic collaborative reanalysis of genomic data improves diagnostic yield in neurologic rare diseases
المؤلفون: Bullich, Gemma, Matalonga, Leslie, Pujadas, Montserrat, Papakonstantinou, Anastasios, Piscia, Davide, Tonda, Raúl, Artuch, Rafael, Gallano, Pia, Garrabou Tornos, Glòria, González, Juan R., Grinberg Vaisman, Daniel Raúl, Guitart, Míriam, Laurie, Steven, Lázaro, Conxi, Luengo, Critina, Martí, Ramon, Milà, Montserrat, Ovelleiro, David, Parra, Genís, Pujol, Aurora, Tizzano, Eduardo, Macaya, Alfonso, Palau, Francesc, Ribes, Antonio, Pérez-Jurado, Luis A., Beltran, Sergi, Undiagnosed Rare Disease Program of Catalonia (URD-Cat) Consortium., Rabionet Janssen, Raquel, Balcells Comas, Susana
المصدر: Articles publicats en revistes (Genètica, Microbiologia i Estadística)
بيانات النشر: American Society for Investigative Pathology and the Association for Molecular Pathology
سنة النشر: 2022
المجموعة: Dipòsit Digital de la Universitat de Barcelona
مصطلحات موضوعية: Malalties rares, Malalties del sistema nerviós, Genòmica, Rare diseases, Nervous system Diseases, Genomics
الوصف: Many patients experiencing a rare disease remain undiagnosed even after genomic testing. Reanalysis of existing genomic data has shown to increase diagnostic yield, although there are few systematic and comprehensive reanalysis efforts that enable collaborative interpretation and future reinterpretation. The Undiagnosed Rare Disease Program of Catalonia project collated previously inconclusive good quality genomic data (panels, exomes, and genomes) and standardized phenotypic profiles from 323 families (543 individuals) with a neurologic rare disease. The data were reanalyzed systematically to identify relatedness, runs of homozygosity, consanguinity, single-nucleotide variants, insertions and deletions, and copy number variants. Data were shared and collaboratively interpreted within the consortium through a customized Genome-Phenome Analysis Platform, which also enables future data reinterpretation. Reanalysis of existing genomic data provided a diagnosis for 20.7% of the patients, including 1.8% diagnosed after the generation of additional genomic data to identify a second pathogenic heterozygous variant. Diagnostic rate was significantly higher for family-based exome/genome reanalysis compared with singleton panels. Most new diagnoses were attributable to recent gene-disease associations (50.8%), additional or improved bioinformatic analysis (19.7%), and standardized phenotyping data integrated within the Undiagnosed Rare Disease Program of Catalonia Genome-Phenome Analysis Platform functionalities (18%).
نوع الوثيقة: article in journal/newspaper
وصف الملف: 14 p.; application/pdf
اللغة: English
تدمد: 1525-1578
العلاقة: Versió postprint del document publicat a: https://doi.org/10.1016/j.jmoldx.2022.02.003Test; Journal of Molecular Diagnostics, 2022, vol. 24, num. 5, p. 529-542; https://doi.org/10.1016/j.jmoldx.2022.02.003Test; http://hdl.handle.net/2445/194746Test; 723501
الإتاحة: https://doi.org/10.1016/j.jmoldx.2022.02.003Test
http://hdl.handle.net/2445/194746Test
حقوق: cc-by-nc-nd (c) American Society for Investigative Pathology and the Association for Molecular Pathology, 2022 ; https://creativecommons.org/licenses/by-nc-nd/4.0Test/ ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.F4615755
قاعدة البيانات: BASE