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  5. Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis

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Article
en
2024

Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis

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en
2024
DOI: 10.17615/c1sy-3719

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Emelia Benjamin
Emelia Benjamin

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Alexandria Hall
Brandon K. Fornwalt
Chrissy Austin-Tse
+45 more

Abstract

Background: Alterations in electrocardiographic (ECG) intervals are well-known markers for arrhythmia and sudden cardiac death (SCD) risk. While the genetics of arrhythmia syndromes have been studied, relations between electrocardiographic intervals and rare genetic variation at a population level are poorly understood. Methods: Using a discovery sample of 29 000 individuals with whole-genome sequencing from Trans-Omics in Precision Medicine and replication in nearly 100 000 with whole-exome sequencing from the UK Biobank and MyCode, we examined associations between low-frequency and rare coding variants with 5 routinely measured electrocardiographic traits (RR, P-wave, PR, and QRS intervals and corrected QT interval). Results: We found that rare variants associated with population-based electrocardiographic intervals identify established monogenic SCD genes (KCNQ1, KCNH2, and SCN5A), a controversial monogenic SCD gene (KCNE1), and novel genes (PAM and MFGE8) involved in cardiac conduction. Loss-of-function and pathogenic SCN5A variants, carried by 0.1% of individuals, were associated with a nearly 6-fold increased odds of the first-degree atrioventricular block (P=8.4×10-5). Similar variants in KCNQ1 and KCNH2 (0.2% of individuals) were associated with a 23-fold increased odds of marked corrected QT interval prolongation (P=4×10-25), a marker of SCD risk. Incomplete penetrance of such deleterious variation was common as over 70% of carriers had normal electrocardiographic intervals. Conclusions: Our findings indicate that large-scale high-depth sequence data and electrocardiographic analysis identifies monogenic arrhythmia susceptibility genes and rare variants with large effects. Known pathogenic variation in conventional arrhythmia and SCD genes exhibited incomplete penetrance and accounted for only a small fraction of marked electrocardiographic interval prolongation.

How to cite this publication

Alexandria Hall, Brandon K. Fornwalt, Chrissy Austin-Tse, Mark Chaffin, B.E. Cade, J Lee, Mary Pettinger, Lichun Weng, Braxton D. Mitchell, Susan Redline, Nona Sotoodehnia, E Boerwinkle, Hsingchi Lin, E.Z Soliman, Álvaro Alonso, Xiuqing Guo, Hai Lin, G.N. Nadkarni, Arden Moscati, Jelena Kornej, Seung‐Hyuk Choi, Cynthia M. Haggerty, Terri Blackwell, Tooraj Mirshahi, Jacob A. Brody, D.E. Arking, Bruce M. Psaty, Jerome I. Rotter, Sean J. Jurgens, J.L Halford, Carolina Roselli, Charles Kooperberg, S.A. Lubitz, Patrick T. Ellinor, Kathryn L. Lunetta, Eric A. Whitsel, Christina J. Lee, Marco Perez, Ruth J. F. Loos, S.S Rich, Susan R. Heckbert, K.L. Wiggins, Emelia Benjamin, A. Correa, Heidi L. Rehm, Valerie N. Morrill, Braxton Lagerman, Ramachandran S. Vasan (2024). Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis. , DOI: https://doi.org/10.17615/c1sy-3719.

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Publication Details

Type

Article

Year

2024

Authors

48

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.17615/c1sy-3719

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