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CFTR -France, a national relational patient database for sharing genetic and phenotypic data associated with rare CFTR variants

Abstract : Most of the 2,000 variants identified in the CFTR (cystic fibrosis transmembrane regulator) gene are rare or private. Their interpretation is hampered by the lack of available data and resources, making patient care and genetic counseling challenging. We developed a patient-based database dedicated to the annotations of rare CFTR variants in the context of their cis- and trans-allelic combinations. Based on almost 30 years of experience of CFTR testing, CFTR-France (https://cftr.iurc.montp.inserm.fr/cftr) currently compiles 16,819 variant records from 4,615 individuals with cystic fibrosis (CF) or CFTR-RD (related disorders), fetuses with ultrasound bowel anomalies, newborns awaiting clinical diagnosis, and asymptomatic compound heterozygotes. For each of the 736 different variants reported in the database, patient characteristics and genetic information (other variations in cis or in trans) have been thoroughly checked by a dedicated curator. Combining updated clinical, epidemiological, in silico, or in vitro functional data helps to the interpretation of unclassified and the reassessment of misclassified variants. This comprehensive CFTR database is now an invaluable tool for diagnostic laboratories gathering information on rare variants, especially in the context of genetic counseling, prenatal and preimplantation genetic diagnosis. CFTR-France is thus highly complementary to the international database CFTR2 focused so far on the most common CF-causing alleles.
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https://hal.umontpellier.fr/hal-02434844
Contributeur : Karine Deletang <>
Soumis le : vendredi 10 janvier 2020 - 13:25:49
Dernière modification le : vendredi 15 mai 2020 - 12:22:08

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Mireille Claustres, Corinne Thèze, Marie Des Georges, David Baux, Emmanuelle Girodon, et al.. CFTR -France, a national relational patient database for sharing genetic and phenotypic data associated with rare CFTR variants. Human Mutation, Wiley, 2017, 38 (10), pp.1297-1315. ⟨10.1002/humu.23276⟩. ⟨hal-02434844⟩

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