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Identification of Undetected Monogenic Cardiovascular Disorders
Jawan W Abdulrahim1, Lydia Coulter Kwee1, Fawaz Alenezi2
1Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina.
Insights
Many individuals with monogenic cardiovascular diseases (MCVDs) are undiagnosed. Increased genetic testing in cardiology could identify these missed opportunities and improve patient care.
Area of Science:
- Cardiovascular Genetics
- Medical Genomics
- Rare Diseases
Background:
- Monogenic diseases are individually rare but collectively common, often leading to underdiagnosis.
- Cardiovascular conditions represent a significant portion of monogenic disorders.
Purpose of the Study:
- To determine the prevalence of monogenic cardiovascular diseases (MCVDs) within a cardiac catheterization cohort.
- To identify potentially missed diagnoses of MCVDs in this population.
Main Methods:
- Whole exome sequencing was performed on 8,574 individuals.
- Pathogenic/likely pathogenic variants for MCVDs were identified.
- Electronic health records were reviewed to assess diagnoses in individuals with identified variants.
Main Results:
- 149 individuals (1.7%) had MCVDs, with 16 novel variants found.
- Only 35% of individuals with MCVDs had a documented diagnosis.
- A significant number of patients with predicted MCVDs were potentially undiagnosed.
Conclusions:
- A substantial proportion of MCVDs remain undiagnosed in a cardiovascular cohort.
- Greater utilization of genetic testing in cardiology could uncover these missed diagnoses.
- Early identification of MCVDs through genetic testing offers a crucial opportunity for improved patient management.
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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