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| Michels,Marcus; Matte,Ursula; Fraga,Lucas Rosa; Mancuso,Aline Castello Branco; Ligabue-Braun,Rodrigo; Berneira,Elias Figueroa Rodrigues; Siebert,Marina; Sanseverino,Maria Teresa Vieira. |
| Abstract Pathogenic variants in the Cystic Fibrosis Transmembrane Conductance Regulator gene (CFTR) are responsible for cystic fibrosis (CF), the commonest monogenic autosomal recessive disease, and CFTR-related disorders in infants and youth. Diagnosis of such diseases relies on clinical, functional, and molecular studies. To date, over 2,000 variants have been described on CFTR (~40% missense). Since few of them have confirmed pathogenicity, in silico analysis could help molecular diagnosis and genetic counseling. Here, the pathogenicity of 779 CFTR missense variants was predicted by consensus predictor PredictSNP and compared to annotations on CFTR2 and ClinVar. Sensitivity and specificity analysis was divided into modeling and validation phases using... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: CFTR; Missense variant; Prediction; Bioinformatics; Cystic fibrosis. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572019000400560 |
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