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Published on: September 8, 2023
Advancing Pulmonary Fibrosis Care: Integrating Genomic Insights Into Clinical Practice.
Kathryn T Del Valle1, Kayla J Kolbert2, Kaitlin J Sikkink2
1Division of Pulmonary and Critical Care, Mayo Clinic, Rochester, MN, USA.
Genetic testing and telomere analysis significantly improve diagnosis in fibrotic interstitial lung disease. This approach identifies a high rate of telomere-related disorders and impacts patient management.
Area of Science:
- Pulmonary Medicine
- Genetics
- Molecular Biology
Background:
- Fibrotic interstitial lung disease (ILD) diagnosis can be challenging.
- Genetic factors and telomere biology are increasingly recognized in ILD pathogenesis.
- A dedicated translational unit can facilitate integrated genetic testing and counseling.
Purpose of the Study:
- To evaluate the diagnostic impact of genetic testing and telomere length analysis in fibrotic ILD.
- To establish and assess a translational genetic testing and counseling unit for ILD patients.
- To determine the frequency of genetic variants and telomere disorders in a referred ILD cohort.
Main Methods:
- Patients with suspected fibrotic ILD were referred to a specialized unit.
- Genetic testing included a pulmonary fibrosis-multigene sequencing panel.
- Telomere length was assessed in lymphocytes and/or granulocytes.
Main Results:
- Genetic testing was completed by 82% of referred patients; 19% had pathogenic/likely pathogenic variants, primarily in telomere pathway genes.
- Telomere lengths were short (≤10th percentile) in 79% of assessed patients.
- Shorter lymphocyte telomere length was associated with a higher likelihood of identifying a genetic cause (OR: 6.26).
- Genetic findings influenced clinical decisions in over half of tested patients.
Conclusions:
- Comprehensive genetic sequencing and telomere length analysis enhance diagnostic accuracy in fibrotic ILD.
- Telomere disorders are a significant, often undiagnosed, cause of fibrotic ILD.
- An integrated clinical model for genetic testing has substantial translational value in patient management.
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