Accurate and Automated Genotyping of the CFTR Poly-T/TG Tract with CFTR-TIPS
Cystic fibrosis is caused by biallelic pathogenic variants in the <i>CFTR</i> gene, which contains a polymorphic (TG)<sub>m</sub>T<sub>n</sub> sequence (the "poly-T/TG tract") in intron 9. While T<sub>9</sub> and T<sub>7</sub> alleles are benign, T<sub>5</sub> alleles with longer TG repeats, e.g., (TG)<sub>12</sub>T<sub>5</sub> and (TG)<sub>13</sub>T<sub>5</sub>, are clinically significant. Thus, professional medical societies currently recommend reporting the TG repeat size when T<sub>5</sub> is detected. Sanger sequencing is a cost-effective method of genotyping the (TG)<sub>m</sub>T<sub>n</sub> tract; however, its polymorphic length substantially complicates data analysis. We developed <i>CFTR</i>-TIPS, a freely available web-based software tool that infers the (TG)<sub>m</sub>T<sub>n</sub> genotype from Sanger sequencing data. This tool detects the (TG)<sub>m</sub>T<sub>n</sub> tract in the chromatograms, quantifies goodness of fit with expected patterns, and visualizes the results in a graphical user interface. It is broadly compatible with any Sanger chromatogram that contains the (TG)<sub>m</sub>T<sub>n</sub> tract ± 15 bp. We evaluated <i>CFTR</i>-TIPS using 835 clinical samples previously analyzed in a CLIA-certified, CAP-accredited laboratory. When operated fully automatically, <i>CFTR</i>-TIPS achieved 99.8% concordance with our clinically validated manual workflow, while generally taking less than 10 s per sample. There were two discordant samples: one due to a co-occurring heterozygous duplication that confounded the tool and the other due to incomplete (TG)<sub>m</sub>T<sub>n</sub> tract detection in the reverse chromatogram. No clinically significant misclassifications were observed. <i>CFTR</i>-TIPS is a free, accurate, and rapid tool for CFTR (TG)<sub>m</sub>T<sub>n</sub> tract genotyping using cost-effective Sanger sequencing. This tool is suitable both for automated use and as an aid to manual review to enhance accuracy and reduce analysis time.
Authors
- Qiliang Ding (ORCID: https://orcid.org/0000-0003-1771-2891)
- Sarah Thieke
- Linda Hasadsri (ORCID: https://orcid.org/0000-0003-1551-3215)
- Rhonda K. Kuennen
- Christopher D Hofich
- Tifani B. Kellogg
- Kaitlin N. Paxton
- Kandelaria M. Rumilla
Institutions
- Mayo Clinic (US)
Publication Details
- Journal
- International Journal of Molecular Sciences
- Published
- 2024-08-05
- DOI
- https://doi.org/10.3390/ijms25158533
- Citations
- 3
- Primary Topic
- Cystic Fibrosis Research Advances
- Type
- article
- Field-Weighted Citation Impact
- 1.26