Dataset Information

Novel, rare and common pathogenic variants in the CFTR gene screened by high-throughput sequencing technology and predicted by in silico tools.

ABSTRACT: Cystic fibrosis (CF) is caused by ~300 pathogenic CFTR variants. The heterogeneity of which, challenges molecular diagnosis and precision medicine approaches in CF. Our objective was to identify CFTR variants through high-throughput sequencing (HTS) and to predict the pathogenicity of novel variants through in 8 silico tools. Two guidelines were followed to deduce the pathogenicity. A total of 169 CF patients had genomic DNA submitted to a Targeted Gene Sequencing and we identified 63 variants (three patients had three variants). The most frequent alleles were: F508del (n?=?192), G542* (n?=?26), N1303K (n?=?11), R1162* and R334W (n?=?9). The screened variants were classified as follows: 41 - pathogenic variants [classified as (I) n?=?23, (II) n?=?6, (III) n?=?1, (IV) n?=?6, (IV/V) n?=?1 and (VI) n?=?4]; 14 - variants of uncertain significance; and seven novel variants. To the novel variants we suggested the classification of 6b-16 exon duplication, G646* and 3557delA as Class I. There was concordance among the predictors as likely pathogenic for L935Q, cDNA.5808T>A and I1427I. Also, Y325F presented two discordant results among the predictors. HTS and in silico analysis can identify pathogenic CFTR variants and will open the door to integration of precision medicine into routine clinical practice in the near future.

SUBMITTER: Pereira SV

PROVIDER: S-EPMC6470152 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Novel, rare and common pathogenic variants in the CFTR gene screened by high-throughput sequencing technology and predicted by in silico tools.

Pereira Stéphanie Villa-Nova SV Ribeiro José Dirceu JD Ribeiro Antônio Fernando AF Bertuzzo Carmen Sílvia CS Marson Fernando Augusto Lima FAL

Scientific reports 20190417 1

Cystic fibrosis (CF) is caused by ~300 pathogenic CFTR variants. The heterogeneity of which, challenges molecular diagnosis and precision medicine approaches in CF. Our objective was to identify CFTR variants through high-throughput sequencing (HTS) and to predict the pathogenicity of novel variants through in 8 silico tools. Two guidelines were followed to deduce the pathogenicity. A total of 169 CF patients had genomic DNA submitted to a Targeted Gene Sequencing and we identified 63 variants ( ...[more]

PMID: 30996306

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Dataset Information

Novel, rare and common pathogenic variants in the CFTR gene screened by high-throughput sequencing technology and predicted by in silico tools.

Publications

Novel, rare and common pathogenic variants in the CFTR gene screened by high-throughput sequencing technology and predicted by in silico tools.

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