Jawan W Abdulrahim1, Lydia Coulter Kwee1, Fawaz Alenezi2, Albert Y Sun2, Aris Baras3, Teminioluwa A Ajayi4, Ricardo Henao5, Christopher L Holley2, Robert W McGarrah6, James P Daubert2, Lauren K Truby2, Sreekanth Vemulapalli2, Andrew Wang2, Michel G Khouri2, Svati H Shah7. 1. Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina. 2. Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina. 3. Regeneron Genetics Center, Regeneron Pharmaceuticals Inc., Tarrytown, New York. 4. Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee. 5. Center for Applied Genomics and Precision Medicine, Duke University, Durham, North Carolina. 6. Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina. 7. Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina. Electronic address: svati.shah@duke.edu.
Abstract
BACKGROUND: Monogenic diseases are individually rare but collectively common, and are likely underdiagnosed. OBJECTIVES: The purpose of this study was to estimate the prevalence of monogenic cardiovascular diseases (MCVDs) and potentially missed diagnoses in a cardiovascular cohort. METHODS: Exomes from 8,574 individuals referred for cardiac catheterization were analyzed. Pathogenic/likely pathogenic (P/LP) variants associated with MCVD (cardiomyopathies, arrhythmias, connective tissue disorders, and familial hypercholesterolemia were identified. Electronic health records (EHRs) were reviewed for individuals harboring P/LP variants who were predicted to develop disease (G+). G+ individuals who did not have a documented relevant diagnosis were classified into groups of whether they may represent missed diagnoses (unknown, unlikely, possible, probable, or definite) based on relevant diagnostic criteria/features for that disease. RESULTS: In total, 159 P/LP variants were identified; 2,361 individuals harbored at least 1 P/LP variant, of whom 389 G+ individuals (4.5% of total cohort) were predicted to have at least 1 MCVD. EHR review of 342 G+ individuals predicted to have 1 MCVD with sufficient EHR data revealed that 52 had been given the relevant clinical diagnosis. The remaining 290 individuals were classified as potentially having an MCVD as follows: 193 unlikely (66.6%), 50 possible (17.2%), 30 probable (10.3%), and 17 definite (5.9%). Grouping possible, probable, definite, and known diagnoses, 149 were considered to have an MCVD. Novel MCVD pathogenic variants were identified in 16 individuals. CONCLUSIONS: Overall, 149 individuals (1.7% of cohort) had MCVDs, but only 35% were diagnosed. These patients represents a "missed opportunity," which could be addressed by greater use of genetic testing of patients seen by cardiologists.
BACKGROUND: Monogenic diseases are individually rare but collectively common, and are likely underdiagnosed. OBJECTIVES: The purpose of this study was to estimate the prevalence of monogenic cardiovascular diseases (MCVDs) and potentially missed diagnoses in a cardiovascular cohort. METHODS: Exomes from 8,574 individuals referred for cardiac catheterization were analyzed. Pathogenic/likely pathogenic (P/LP) variants associated with MCVD (cardiomyopathies, arrhythmias, connective tissue disorders, and familial hypercholesterolemia were identified. Electronic health records (EHRs) were reviewed for individuals harboring P/LP variants who were predicted to develop disease (G+). G+ individuals who did not have a documented relevant diagnosis were classified into groups of whether they may represent missed diagnoses (unknown, unlikely, possible, probable, or definite) based on relevant diagnostic criteria/features for that disease. RESULTS: In total, 159 P/LP variants were identified; 2,361 individuals harbored at least 1 P/LP variant, of whom 389 G+ individuals (4.5% of total cohort) were predicted to have at least 1 MCVD. EHR review of 342 G+ individuals predicted to have 1 MCVD with sufficient EHR data revealed that 52 had been given the relevant clinical diagnosis. The remaining 290 individuals were classified as potentially having an MCVD as follows: 193 unlikely (66.6%), 50 possible (17.2%), 30 probable (10.3%), and 17 definite (5.9%). Grouping possible, probable, definite, and known diagnoses, 149 were considered to have an MCVD. Novel MCVD pathogenic variants were identified in 16 individuals. CONCLUSIONS: Overall, 149 individuals (1.7% of cohort) had MCVDs, but only 35% were diagnosed. These patients represents a "missed opportunity," which could be addressed by greater use of genetic testing of patients seen by cardiologists.
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