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Abstract 4120763: Predicting Disease Risk Among Variants in Cardiomyopathy-Associated Genes Across Diverse Genetic Ancestries

Publication ,  Conference
Wolfe, R; Gurumoorthi, M; Chahal, A; Sharaf Dabbagh, G; Landstrom, A
Published in: Circulation
November 12, 2024

Many cases of cardiomyopathy (CM) are genetically inherited, and the expansion of broad genomic sequencing has opened the door for predicting those at risk for developing disease. However, genetic tools that help determine variant pathogenicity employ genetic data from predominantly European genetic ancestries. Understanding the full diversity of genetic variants in cardiomyopathy genes is central to identifying which variants will cause disease. Participants of non-European genetic ancestry will have a higher burden of cardiomyopathy gene variants with "VUS" designation in ClinVar but will have equivalent/less penetrance of clinical cardiomyopathy compared to a European ancestry group. Participants in the AllofUs database with exome sequencing (ES) were queried and a cohort of 230,013 participants were retained after sample quality control filters. Participant genetic ancestry was based on the designated ancestry group determined via AllofUs as previously described (1). Participants were queried for variants in genes with definitive or moderate evidence of hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), and arrhythmogenic cardiomyopathy (ACM) in ClinGen. Variants were filtered by ClinVar status (1* and above P/LP, 1* and above B/LB, and VUS). Participant CM disease status was determined via ICD-9/10 code. For each ancestry group, prevalence of cardiomyopathy ranged from 0.34% in the Latino/admixed American ancestry group to 1.09% in the African group, with an average prevalence of 0.91% across all groups. The European group had a statistically significant lower percentage of ClinVar VUS variants at 26%, while all other non-European ancestry groups had a combined VUS prevalence rate of 35% (****p<0.0001). The penetrance of CM in participants with CM VUS variants was lower in combined non-European ancestry groups (0.84%) than European ancestry (1.02%) (*p=0.0156). Prevalence of ClinVar VUS variants varies across different genetic ancestry groups, with European ancestry having a lower burden of VUS variants compared to non-European groups. However, non-European ancestry groups with increased burden of VUS variants have lower disease penetrance. (1) The All of Us Research Program Genomics Investigators. Genomic data in the All of Us Research Program. , 340–346 (2024). https://doi.org/10.1038/s41586-023-06957-x

Duke Scholars

Published In

Circulation

DOI

EISSN

1524-4539

ISSN

0009-7322

Publication Date

November 12, 2024

Volume

150

Issue

Suppl_1

Publisher

Ovid Technologies (Wolters Kluwer Health)

Related Subject Headings

  • Cardiovascular System & Hematology
  • 4207 Sports science and exercise
  • 3202 Clinical sciences
  • 3201 Cardiovascular medicine and haematology
  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences
  • 1102 Cardiorespiratory Medicine and Haematology
 

Citation

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Wolfe, R., Gurumoorthi, M., Chahal, A., Sharaf Dabbagh, G., & Landstrom, A. (2024). Abstract 4120763: Predicting Disease Risk Among Variants in Cardiomyopathy-Associated Genes Across Diverse Genetic Ancestries. In Circulation (Vol. 150). Ovid Technologies (Wolters Kluwer Health). https://doi.org/10.1161/circ.150.suppl_1.4120763
Wolfe, Rachel, Manasa Gurumoorthi, Anwar Chahal, Ghaith Sharaf Dabbagh, and Andrew Landstrom. “Abstract 4120763: Predicting Disease Risk Among Variants in Cardiomyopathy-Associated Genes Across Diverse Genetic Ancestries.” In Circulation, Vol. 150. Ovid Technologies (Wolters Kluwer Health), 2024. https://doi.org/10.1161/circ.150.suppl_1.4120763.
Wolfe R, Gurumoorthi M, Chahal A, Sharaf Dabbagh G, Landstrom A. Abstract 4120763: Predicting Disease Risk Among Variants in Cardiomyopathy-Associated Genes Across Diverse Genetic Ancestries. In: Circulation. Ovid Technologies (Wolters Kluwer Health); 2024.
Wolfe, Rachel, et al. “Abstract 4120763: Predicting Disease Risk Among Variants in Cardiomyopathy-Associated Genes Across Diverse Genetic Ancestries.” Circulation, vol. 150, no. Suppl_1, Ovid Technologies (Wolters Kluwer Health), 2024. Crossref, doi:10.1161/circ.150.suppl_1.4120763.
Wolfe R, Gurumoorthi M, Chahal A, Sharaf Dabbagh G, Landstrom A. Abstract 4120763: Predicting Disease Risk Among Variants in Cardiomyopathy-Associated Genes Across Diverse Genetic Ancestries. Circulation. Ovid Technologies (Wolters Kluwer Health); 2024.

Published In

Circulation

DOI

EISSN

1524-4539

ISSN

0009-7322

Publication Date

November 12, 2024

Volume

150

Issue

Suppl_1

Publisher

Ovid Technologies (Wolters Kluwer Health)

Related Subject Headings

  • Cardiovascular System & Hematology
  • 4207 Sports science and exercise
  • 3202 Clinical sciences
  • 3201 Cardiovascular medicine and haematology
  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences
  • 1102 Cardiorespiratory Medicine and Haematology