ArticleMolecular genetics & genomic medicine2015
Validation of a semiconductor next-generation sequencing assay for the clinical genetic screening of CFTR.
Article in Molecular genetics & genomic medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- A personalized medicine approach to optimize care for a pediatric cystic fibrosis patient with atypical clinical symptoms.Pediatric pulmonology · 2024Article
- BRCA1 and BRCA2 genes mutations among high risk breast cancer patients in Jordan.Scientific reports · 2020Article
- The true panel of cystic fibrosis mutations in the Sicilian population.BMC medical genetics · 2020Article
- Universal strategy for preimplantation genetic testing for cystic fibrosis based on next generation sequencing.Journal of assisted reproduction and genetics · 2020Article
- The High-Throughput Analyses Era: Are We Ready for the Data Struggle?High-throughput · 2018Article
- Comparison between magnetic bead and qPCR library normalisation methods for forensic MPS genotyping.International journal of legal medicine · 2018Article
- Spectrum of CFTR gene mutations in Ecuadorian cystic fibrosis patients: the second report of the p.H609R mutation.Molecular genetics & genomic medicine · 2017Article
- Whole-gene CFTR sequencing combined with digital RT-PCR improves genetic diagnosis of cystic fibrosis.Journal of human genetics · 2016Article
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14 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic testing for cystic fibrosis and CFTR-related disorders mostly relies on laborious molecular tools that use Sanger sequencing to scan for mutations in the CFTR gene. We have explored a more efficient genetic screening strategy based on next-generation sequencing (NGS) of the CFTR gene. We validated this approach in a cohort of 177 patients with previously known CFTR mutations and polymorphisms. Genomic DNA was amplified using the Ion AmpliSeq™ CFTR panel. The DNA libraries were pooled, barcoded, and sequenced using an Ion Torrent PGM sequencer. The combination of different robust bioinformatics tools allowed us to detect previously known pathogenic mutations and polymorphisms in the 177 samples, without detecting spurious pathogenic calls. In summary, the assay achieves a sensitivity of 94.45% (95% CI: 92% to 96.9%), with a specificity of detecting nonvariant sites from the CFTR reference sequence of 100% (95% CI: 100% to 100%), a positive predictive value of 100% (95% CI: 100% to 100%), and a negative predictive value of 99.99% (95% CI: 99.99% to 100%). In addition, we describe the observed allelic frequencies of 94 unique definitely and likely pathogenic, uncertain, and neutral CFTR variants, some of them not previously annotated in the public databases. Strikingly, a seven exon spanning deletion as well as several more technically challenging variants such as pathogenic poly-thymidine-guanine and poly-thymidine (poly-TG-T) tracts were also detected. Targeted NGS is ready to substitute classical molecular methods to perform genetic testing on the CFTR gene.
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