Abstract 4364602: Polygenic background for QT interval influences disease penetrance in individuals with genotype-positive congenital long QT syndrome

Background: Congenital long QT syndrome (LQTS) is characterized by a prolongation of the heart rate-corrected QT interval (QTc) and an increased risk of syncope, seizure and sudden cardiac arrest/death (SCA/SCD). Genome-wide association studies have identified numerous QT interval-influencing loci of small effect sizes. Herein, we sought to investigate whether a polygenic background for the QT interval contributes to the phenotypic heterogeneity in patients with genotype-positive LQTS. Methods: We used summary statistics from a recent genome-wide meta-analysis for QT interval (n = 117,532) to derive 160 different polygenic scores for QT interval (PGS QT ) using LDpred2-grid, each comprising ~1.4 million common variants with varying assumptions of the underlying genetic architecture. Next, we applied these PGS QT to predict the QTc value in a genetically unrelated, European ancestry subset of the ‘All of Us’ cohort with available electrocardiogram and genetic data (n=6,404), where the best performing PGS QT was determined based on explained variance. Next, using 225 patients with genetically confirmed LQTS who were evaluated in the Mayo Clinic Windland Smith Rice Genetic Heart Rhythm Clinic, we tested the effect of the best performing PGS QT on QTc duration and LQTS-associated cardiac events (defined as a composite of syncope, seizures, sustained ventricular arrhythmia, appropriate ICD shocks, and SCA/SCD) using Bayesian regression models. Results: Overall, the best performing PGS QT explained 11.8% of the variance in the QTc in the ‘All of Us’ cohort. Among patients with genotype-positive LQTS (n [%]; KCNQ1 125 [55.6], KCHN2 76 [33.8], SCN5A 21 [9.3], Other 3 [1.3]), those with higher PGS QT had a higher QTc (predicted mean QTc [95% uncertainty interval], 95 th percentile vs 50 th percentile for PGS QT , 478 ms [464-491] vs 459 ms [449-468]). In comparison to the median PGS, those LQTS patients with a PGS QT >95 th percentile were more than twice as likely to have experienced a LQTS-associated cardiac event (Odds ratio [95% UI], 95 th percentile vs 50 th percentile for PGS QT ; 2.16 [1.02-5.41]), ( Figure ). Conclusions: Individuals with genotype-positive LQTS who have high polygenic susceptibility for QTc prolongation are more likely to phenotypically exhibit a higher QTc value and experience potentially life-threatening LQTS-associated cardiac events. Accounting for polygenic background may refine risk stratification strategies for patients with genotype-positive LQTS

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4364602
Primary Topic
Cardiac electrophysiology and arrhythmias
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article
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article

Abstract 4364602: Polygenic background for QT interval influences disease penetrance in individuals with genotype-positive congenital long QT syndrome

John R. Giudicessi, Raquel Neves, Sahej Bains, David J. Tester et al.
Circulation
Cardiac electrophysiology and arrhythmias
article

Abstract 4364602: Polygenic background for QT interval influences disease penetrance in individuals with genotype-positive congenital long QT syndrome

John R. Giudicessi, Raquel Neves, Sahej Bains, David J. Tester, Michael John Ackerman, J. Martijn Bos, Ozan Dikilitas
article en

Abstract

Background: Congenital long QT syndrome (LQTS) is characterized by a prolongation of the heart rate-corrected QT interval (QTc) and an increased risk of syncope, seizure and sudden cardiac arrest/death (SCA/SCD). Genome-wide association studies have identified numerous QT interval-influencing loci of small effect sizes. Herein, we sought to investigate whether a polygenic background for the QT interval contributes to the phenotypic heterogeneity in patients with genotype-positive LQTS. Methods: We used summary statistics from a recent genome-wide meta-analysis for QT interval (n = 117,532) to derive 160 different polygenic scores for QT interval (PGS QT ) using LDpred2-grid, each comprising ~1.4 million common variants with varying assumptions of the underlying genetic architecture. Next, we applied these PGS QT to predict the QTc value in a genetically unrelated, European ancestry subset of the ‘All of Us’ cohort with available electrocardiogram and genetic data (n=6,404), where the best performing PGS QT was determined based on explained variance. Next, using 225 patients with genetically confirmed LQTS who were evaluated in the Mayo Clinic Windland Smith Rice Genetic Heart Rhythm Clinic, we tested the effect of the best performing PGS QT on QTc duration and LQTS-associated cardiac events (defined as a composite of syncope, seizures, sustained ventricular arrhythmia, appropriate ICD shocks, and SCA/SCD) using Bayesian regression models. Results: Overall, the best performing PGS QT explained 11.8% of the variance in the QTc in the ‘All of Us’ cohort. Among patients with genotype-positive LQTS (n [%]; KCNQ1 125 [55.6], KCHN2 76 [33.8], SCN5A 21 [9.3], Other 3 [1.3]), those with higher PGS QT had a higher QTc (predicted mean QTc [95% uncertainty interval], 95 th percentile vs 50 th percentile for PGS QT , 478 ms [464-491] vs 459 ms [449-468]). In comparison to the median PGS, those LQTS patients with a PGS QT >95 th percentile were more than twice as likely to have experienced a LQTS-associated cardiac event (Odds ratio [95% UI], 95 th percentile vs 50 th percentile for PGS QT ; 2.16 [1.02-5.41]), ( Figure ). Conclusions: Individuals with genotype-positive LQTS who have high polygenic susceptibility for QTc prolongation are more likely to phenotypically exhibit a higher QTc value and experience potentially life-threatening LQTS-associated cardiac events. Accounting for polygenic background may refine risk stratification strategies for patients with genotype-positive LQTS

CirculationVol. 152(Suppl_3)
Mayo Clinic (US)
Openalex Percentile: Top 51%
Cardiac electrophysiology and arrhythmias
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