Arrhythmia Variant Associations and Reclassifications in the eMERGE-III Sequencing Study

Abstract

Background: Sequencing Mendelian arrhythmia genes in individuals without an indication for arrhythmia genetic testing can identify carriers of pathogenic or likely pathogenic (P/LP) variants. However, the extent to which these variants are associated with clinically meaningful phenotypes before or after return of variant results (RoR) is unclear. In addition, the majority of discovered variants are currently classified as Variants of Uncertain Significance (VUS), limiting clinical actionability. Methods: The eMERGE-III study is a multi-center prospective cohort which included 21,846 participants without prior indication for cardiac genetic testing. Participants were sequenced for 109 Mendelian disease genes, including 10 linked to arrhythmia syndromes. Variant carriers were assessed with Electronic Health Record (EHR)-derived phenotypes and follow-up clinical examination. Selected VUS (n=50) were characterized in vitro with automated electrophysiology experiments in HEK293 cells. Results: As previously reported, 3.0% of participants had pathogenic or likely pathogenic (P/LP) variants in the 109 genes. Herein, we report 120 participants (0.6%) with P/LP arrhythmia variants. Compared to non-carriers, arrhythmia P/LP carriers had a significantly higher burden of arrhythmia phenotypes in their EHRs. Fifty four participants had variant results returned. Nineteen of these 54 participants had inherited arrhythmia syndrome diagnoses (primarily long QT syndrome), and 12/19 of these diagnoses were made only after variant results were returned (0.05%). After in vitro functional evaluation of 50 variants of uncertain significance (VUS), we reclassified 11 variants: 3 to likely benign and 8 to P/LP. Conclusions: Genome sequencing in a large population without indication for arrhythmia genetic testing identified phenotype-positive carriers of variants in congenital arrhythmia syndrome disease genes. As large numbers of people are sequenced, the disease risk from rare variants in arrhythmia genes can be assessed by integrating genomic screening, EHR phenotypes, and in vitro functional studies.