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Prevalence and Phenotypic Burden of Monogenic Arrhythmias Using Integration of Electronic Health Records With Genetics.

Publication ,  Journal Article
Nafissi, NA; Abdulrahim, JW; Kwee, LC; Coniglio, AC; Kraus, WE; Piccini, JP; Daubert, JP; Sun, AY; Shah, SH
Published in: Circulation. Genomic and precision medicine
October 2022

Inherited primary arrhythmia syndromes and arrhythmogenic cardiomyopathies can lead to sudden cardiac arrest in otherwise healthy individuals. The burden and expression of these diseases in a real-world, well-phenotyped cardiovascular population is not well understood.Whole exome sequencing was performed on 8574 individuals from the CATHGEN cohort (Catheterization Genetics). Variants in 55 arrhythmia-related genes (associated with 8 disorders) were identified and assessed for pathogenicity based on American College of Genetics and Genomics/Association for Molecular Pathology criteria. Individuals carrying pathogenic/likely pathogenic (P/LP) variants were grouped by arrhythmogenic disorder and matched 1:5 to noncarrier controls based on age, sex, and genetic ancestry. Long-term phenotypic data were annotated through deep electronic health record review.Fifty-eight P/LP variants were found in 79 individuals in 12 genes associated with 5 arrhythmogenic disorders (arrhythmogenic right ventricular cardiomyopathy, Brugada syndrome, hypertrophic cardiomyopathy, LMNA-related cardiomyopathy, and long QT syndrome). The penetrance of these P/LP variants in this cardiovascular cohort was 33%, 0%, 28%, 83%, and 4%, respectively. Carriers of P/LP variants associated with arrhythmogenic disorders showed significant differences in ECG, imaging, and clinical phenotypes compared with noncarriers, but displayed no difference in survival. Carriers of novel truncating variants in FLNC, MYBPC3, and MYH7 also developed relevant arrhythmogenic cardiomyopathy phenotypes.In a real-world cardiovascular cohort, P/LP variants in arrhythmia-related genes were relatively common (1:108 prevalence) and most penetrant in LMNA. While hypertrophic cardiomyopathy P/LP variant carriers showed significant differences in clinical outcomes compared with noncarriers, carriers of P/LP variants associated with other arrhythmogenic disorders displayed only ECG differences.

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Published In

Circulation. Genomic and precision medicine

DOI

EISSN

2574-8300

ISSN

2574-8300

Publication Date

October 2022

Volume

15

Issue

5

Start / End Page

e003675

Related Subject Headings

  • United States
  • Prevalence
  • Phenotype
  • Humans
  • Electronic Health Records
  • Cardiomyopathy, Hypertrophic
  • Cardiomyopathies
  • Arrhythmias, Cardiac
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Nafissi, N. A., Abdulrahim, J. W., Kwee, L. C., Coniglio, A. C., Kraus, W. E., Piccini, J. P., … Shah, S. H. (2022). Prevalence and Phenotypic Burden of Monogenic Arrhythmias Using Integration of Electronic Health Records With Genetics. Circulation. Genomic and Precision Medicine, 15(5), e003675. https://doi.org/10.1161/circgen.121.003675
Nafissi, Navid A., Jawan W. Abdulrahim, Lydia Coulter Kwee, Amanda C. Coniglio, William E. Kraus, Jonathan P. Piccini, James P. Daubert, Albert Y. Sun, and Svati H. Shah. “Prevalence and Phenotypic Burden of Monogenic Arrhythmias Using Integration of Electronic Health Records With Genetics.Circulation. Genomic and Precision Medicine 15, no. 5 (October 2022): e003675. https://doi.org/10.1161/circgen.121.003675.
Nafissi NA, Abdulrahim JW, Kwee LC, Coniglio AC, Kraus WE, Piccini JP, et al. Prevalence and Phenotypic Burden of Monogenic Arrhythmias Using Integration of Electronic Health Records With Genetics. Circulation Genomic and precision medicine. 2022 Oct;15(5):e003675.
Nafissi, Navid A., et al. “Prevalence and Phenotypic Burden of Monogenic Arrhythmias Using Integration of Electronic Health Records With Genetics.Circulation. Genomic and Precision Medicine, vol. 15, no. 5, Oct. 2022, p. e003675. Epmc, doi:10.1161/circgen.121.003675.
Nafissi NA, Abdulrahim JW, Kwee LC, Coniglio AC, Kraus WE, Piccini JP, Daubert JP, Sun AY, Shah SH. Prevalence and Phenotypic Burden of Monogenic Arrhythmias Using Integration of Electronic Health Records With Genetics. Circulation Genomic and precision medicine. 2022 Oct;15(5):e003675.

Published In

Circulation. Genomic and precision medicine

DOI

EISSN

2574-8300

ISSN

2574-8300

Publication Date

October 2022

Volume

15

Issue

5

Start / End Page

e003675

Related Subject Headings

  • United States
  • Prevalence
  • Phenotype
  • Humans
  • Electronic Health Records
  • Cardiomyopathy, Hypertrophic
  • Cardiomyopathies
  • Arrhythmias, Cardiac