| Title: | Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes |
| Journal: | Circulation Genomic and Precision Medicine |
| Published: | 28 Jul 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/34319147/ |
| DOI: | https://doi.org/10.1161/circgen.120.003300 |
| URL: | https://www.ahajournals.org/doi/pdf/10.1161/CIRCGEN.120.003300 |
| Citations: | 10 (6 in last 2 years) as of 8 Aug 2024 |
Publication 5643
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
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.</p>
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).</p>
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.</p>
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.</p>
10 Keywords
- Death, Sudden, Cardiac
- Electrocardiography
- Exome Sequencing
- Female
- Genetic Predisposition to Disease
- Genetic Variation
- Heterozygote
- Humans
- Long QT Syndrome
- Male
50 Authors
- Seung Hoan Choi
- Sean J. Jurgens
- Christopher M. Haggerty
- Amelia W. Hall
- Jennifer L. Halford
- Valerie N. Morrill
- Lu-Chen Weng
- Braxton Lagerman
- Tooraj Mirshahi
- Mary Pettinger
- Xiuqing Guo
- Henry J. Lin
- Alvaro Alonso
- Elsayed Z. Soliman
- Jelena Kornej
- Honghuang Lin
- Arden Moscati
- Girish N. Nadkarni
- Jennifer A. Brody
- Kerri L. Wiggins
- Brian E. Cade
- Jiwon Lee
- Christina Austin-Tse
- Tom Blackwell
- Mark D. Chaffin
- Christina J.-Y. Lee
- Heidi L. Rehm
- Carolina Roselli
- Regeneron Genetics Center
- Susan Redline
- Braxton D. Mitchell
- Nona Sotoodehnia
- Bruce M. Psaty
- Susan R. Heckbert
- Ruth J.F. Loos
- Ramachandran S. Vasan
- Emelia J. Benjamin
- Adolfo Correa
- Eric Boerwinkle
- Dan E. Arking
- Jerome I. Rotter
- Stephen S. Rich
- Eric A. Whitsel
- Marco Perez
- Charles Kooperberg
- Brandon K. Fornwalt
- Kathryn L. Lunetta
- Patrick T. Ellinor
- Steven A. Lubitz
- on behalf of the NHLBI Trans-Omics for Precision Medicine Consortium
Enabling scientific discoveries that improve human health