Graddy, Courtney B.

Abstract Rationale Idiopathic Pulmonary Fibrosis (IPF) is characterized by chronic progressive pulmonary fibrosis and high mortality. Genetic markers, summarized into a polygenic risk score (PRS), associate with IPF in well-phenotyped research cohorts. Objectives To evaluate the performance of the PRS using real-world data from routinely captured electronic healthcare records. Methods We conducted an observational study evaluating the association of a PRS for IPF with electronic healthcare record diagnosis of IPF as well as lung transplant-free survival in four independent cohorts; the Mass General Brigham Biobank (MGBB), Mayo Clinic Biobank (MCBB), Mayo Clinic Tapestry Cohort (Tapestry), and U.K. Biobank (UKBB). We used multivariable logistic regression and multivariable Cox proportional hazards models adjusting for age, gender, and principal components of ancestry. The cohorts then underwent fixed and random effects meta-analysis. Measurements and Main Results Of 37,709; 44,195; 43,202; and 447,422 participants from MGBB, MCBB, Tapestry and UKBB respectively, 1,015 (2.7%) 2,879 (6.5%), 1,310 (3.0%), and 2,742 (0.6%) participants had an IPF diagnosis. Meta-analysis demonstrated a high-risk PRS associated with IPF diagnosis, OR 2.88 (95%CI 2.41-3.44) compared to all other individuals. A high-risk PRS also associated with the composite endpoint of mortality or lung transplant among those with an IPF diagnosis, HR 1.23(95%CI 1.11-1.35) compared to all other individuals. Conclusions A PRS can identify those at risk for an IPF diagnosis and mortality in biobank-scale data, which may have implications for clinical decisions. Further work is necessary to evaluate the utility of adding genetics in clinical settings.

Abstract Purpose Bronchiectasis is a condition characterized by chronic cough, recurrent infections, and progressive airway damage that is rising in prevalence. While often idiopathic, a subset of patients have a genetic cause such as cystic fibrosis (CF), primary ciliary dyskinesia (PCD), or alpha-1-antitrypsin deficiency (A1ATD). Genetic causes for bronchiectasis should be considered in patients with diffuse bronchiectasis involving ≥2 lobes, especially in those with early onset of symptoms, recurrent otitis media or chronic rhinosinusitis, infertility, organ laterality defects (e.g., situs inversus), exocrine pancreatic insufficiency or family history of bronchiectasis. Genetic testing may impact management decisions. Methods The Mayo Clinic Center for Individualized Medicine developed the Program for Rare and Undiagnosed Diseases (PRaUD) Genetic Testing and Counseling Unit (GTAC) provides abbreviated, point-of-care genetic counseling, and DNA sequencing-based testing. Patients with bronchiectasis evaluated by GTAC underwent exome or genome-based 52-gene panels which included PCD, CF, and A1ATD (SERPINA1)-associated genes. Sequencing panes results were reviewed and interpreted by a multidisciplinary team including genetic counselors, geneticists, and pulmonologists. Results From July 2022 to December 2025, 203 patients were identified; 163 patients completed testing (74% female, 93% white). A molecular diagnosis was confirmed in 10.4% (17/163) of cases, with known pathogenic variants identified in RSPH4A, SERPINA1 (A1ATD), and CFTR (CF). Variants of uncertain significance (VUS) were identified in 24% of patients. Notably, 11.6% (19/163) were identified as CF carriers, a rate significantly higher than the general European-ancestry population (∼4%). Clinical management was impacted for two patients, including the initiation of targeted CFTR modulator therapy in one patient with CF-related disorder (CFTRD) and one CFTR pathogenic variant heterozygote. Conclusions Genetic counselor-supported DNA sequencing for bronchiectasis led to an increased identification of genes that cause bronchiectasis. Interestingly, we found a high rate of CFTR heterozygote variant carriers in our clinic cohort, this aligns with the findings of other studies that CFTR variant carriers can have an increased frequency of bronchiectasis. The identification of pathogenic variants and VUS helps facilitate a diagnosis or potential genetic cause in a significant proportion of patients and highlights the need for further research in understanding the epidemiology of CF, PCD, and A1ATD-related variant genotypes in patients with bronchiectasis. Clinical Implications Comprehensive DNA sequencing, combined with genetic counseling and support from genetic counselors in partnership with pulmonologists can advance precision diagnostics and care for patients with bronchiectasis. This abstract is funded by: None

Abstract Background In the United States, rare disease (RD) is defined as a condition that affects fewer than 200,000 individuals. Collectively, RD affects an estimated 30 million Americans. A significant portion of RD has an underlying genetic cause; however, this may go undiagnosed. To better serve these patients, the Mayo Clinic Program for Rare and Undiagnosed Diseases (PRaUD) was created under the auspices of the Center for Individualized Medicine (CIM) aiming to integrate genomics into subspecialty practice including targeted genetic testing, research, and education. Methods Patients were identified by subspecialty healthcare providers from 11 clinical divisions/departments. Targeted multi-gene panels or custom exome/genome-based panels were utilized. To support the goals of PRaUD, a new clinical service model, the Genetic Testing and Counseling (GTAC) unit, was established to improve access and increase efficiency for genetic test facilitation. The GTAC unit includes genetic counselors, genetic counseling assistants, genetic nurses, and a medical geneticist. Patients receive abbreviated point-of-care genetic counseling and testing through a partnership with subspecialty providers. Results Implementation of PRaUD began in 2018 and GTAC unit launched in 2020 to support program expansion. Currently, 29 RD clinical indications are included in 11 specialty divisions/departments with over 142 referring providers. To date, 1,152 patients have been evaluated with an overall solve rate of 14.1% and as high as 66.7% depending on the phenotype. Noteworthy, 42.7% of the solved or likely solved patients underwent changes in medical management and outcome based on genetic test results. Conclusion Implementation of PRaUD and GTAC have enabled subspecialty practices advance expertise in RD where genetic counselors have not historically been embedded in practice. Democratizing access to genetic testing and counseling can broaden the reach of patients with RD and increase the diagnostic yield of such indications leading to better medical management as well as expanding research opportunities.