Interpreting Incidentally Identified Variants in Genes Associated With Heritable Cardiovascular Disease

Authors, Journal, Affiliations, Type, DOI

Overview

As exome (ES) and genome sequencing (GS) expand beyond targeted diagnostic contexts — into research biobanks, direct-to-consumer testing, and unrelated clinical indications — clinicians increasingly receive incidentally identified variants in CVD-associated genes. The variant burden in the general population far exceeds actual disease prevalence, making interpretation of these results non-trivial. This AHA Scientific Statement establishes a Bayesian probabilistic framework to guide clinicians: establish a pretest probability via comprehensive clinical and ≥3-generation family evaluation, modify it by the strength of gene-variant-disease association (LP/P per ACMG criteria and ClinGen curation), and arrive at a posttest probability that determines management, follow-up interval, and cascade family testing. Multidisciplinary cardiovascular genetics specialty centre involvement is considered essential throughout.

Keywords

AHA Scientific Statements · aortic diseases · cardiomyopathies · cardiovascular diseases · channelopathies · dyslipidemias · genomics · patient care team

Key Takeaways

Reporting Framework for Incidental Variants

Pretest/Posttest Genetic Counselling

A Bayesian Framework for Variant Interpretation

Follow-Up of Variants Over Time

Cascade Family Genetic Testing from Incidental Variants

Special Populations

Diverse Populations

Direct-to-Consumer Testing

Pharmacogenomic Incidental Findings

Pediatric Populations

Limitations of the Document

Key Concepts Mentioned

Key Entities Mentioned

Wiki Pages Updated