Evaluating sequence data quality from the Swift Accel-Amplicon CFTR Panel

Sci Data. 2020 Jan 8;7(1):8. doi: 10.1038/s41597-019-0339-4.


Cystic fibrosis (CF) is one of the most common genetic diseases worldwide with high carrier frequencies across different ethnicities. Next generation sequencing of the cystic fibrosis transmembrane conductance regulator (CFTR) gene has proven to be an effective screening tool to determine carrier status with high detection rates. Here, we evaluate the performance of the Swift Biosciences Accel-Amplicon CFTR Capture Panel using CFTR-positive DNA samples. This assay is a one-day protocol that allows for one-tube reaction of 87 amplicons that span all coding regions, 5' and 3'UTR, as well as four intronic regions. In this study, we provide the FASTQ, BAM, and VCF files on seven unique CFTR-positive samples and one normal control sample (14 samples processed including repeated samples). This method generated sequencing data with high coverage and near 100% on-target reads. We found that coverage depth was correlated with the GC content of each exon. This dataset is instrumental for clinical laboratories that are evaluating this technology as part of their carrier screening program.

Publication types

  • Dataset

MeSH terms

  • Base Composition
  • Cystic Fibrosis / genetics*
  • Cystic Fibrosis Transmembrane Conductance Regulator / genetics*
  • Genetic Carrier Screening*
  • Humans
  • Sequence Analysis, DNA


  • CFTR protein, human
  • Cystic Fibrosis Transmembrane Conductance Regulator