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Birt-Hogg-Dubé syndrome, prevalence of identified cases according to clinical indication in a cohort of 1,084 patients with genetic analysis

Journal
Genetics in medicine : official journal of the American College of Medical Genetics (Q1)
Published
10 October 2026
Study design
Unclassified
Evidence level
Level 5, Expert Opinion (CEBM 5)
Authors
Agathe Hercent, Ibrahima Ba, Jerôme Lamoril, Philippe Lafitte, Karim Diallo, Mickael Mary, et al.
PMID
42857909
DOI
10.1016/j.gim.2026.102753

Why clinicians should know about it

  • Picked for Genetics (clinical) (paper of the day, 13 October 2026): BHD syndrome FLCN variant prevalence, genetics focus

Abstract

PURPOSE: Birt-Hogg-Dubé syndrome (BHD) is an autosomal dominant disorder caused by pathogenic variants (PVs) in the FLCN gene. This study aimed to characterize the clinical presentation of patients carrying a FLCN pathogenic variation and to identify the most indicative clinical features of the syndrome. METHODS: We analysed clinical and molecular data from 1,084 consecutive probands with a clinical suspicion of BHD. The frequency of FLCN PVs was assessed, based on clinical presentation and family history. RESULTS: Among the 1,084 probands analysed, 29% carried a PV in FLCN. Isolated fibrofolliculomas showed the highest diagnostic yield (55.8%, 95% CI: 44.7-66.5%), whereas isolated pulmonary cysts and renal cancer were less frequently associated with FLCN PVs (4.8%, 95% CI: 2.9-7.5% and 0.6%, 95% CI: 0.0-3.2%, respectively). Multivariable analysis identified fibrofolliculomas (OR=12.9) and pneumothorax (OR=5.8) as the strongest predictors. A family history of BHD-related symptoms increased the likelihood of detecting a FLCN PV. 244 relatives who carry the familial pathogenic variation were assessed: in the age 50-60 years group, only 60% had developed BHD-related symptoms. Finally, two patients with a mosaic FLCN PV were discovered. CONCLUSION: Fibrofolliculomas represent the strongest predictor of FLCN pathogenic variants. The combination of clinical features significantly improves diagnostic yield, supporting a targeted genetic screening approach.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.