Dataset Information

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

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.

SUBMITTER: Choi SH

PROVIDER: S-EPMC8373440 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Publications

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

Choi Seung Hoan SH Jurgens Sean J SJ Haggerty Christopher M CM Hall Amelia W AW Halford Jennifer L JL Morrill Valerie N VN Weng Lu-Chen LC Lagerman Braxton B Mirshahi Tooraj T Pettinger Mary M Guo Xiuqing X Lin Henry J HJ Alonso Alvaro A Soliman Elsayed Z EZ Kornej Jelena J Lin Honghuang H Moscati Arden A Nadkarni Girish N GN Brody Jennifer A JA Wiggins Kerri L KL Cade Brian E BE Lee Jiwon J Austin-Tse Christina C Blackwell Tom T Chaffin Mark D MD Lee Christina J-Y CJ Rehm Heidi L HL Roselli Carolina C Redline Susan S Mitchell Braxton D BD Sotoodehnia Nona N Psaty Bruce M BM Heckbert Susan R SR Loos Ruth J F RJF Vasan Ramachandran S RS Benjamin Emelia J EJ Correa Adolfo A Boerwinkle Eric E Arking Dan E DE Rotter Jerome I JI Rich Stephen S SS Whitsel Eric A EA Perez Marco M Kooperberg Charles C Fornwalt Brandon K BK Lunetta Kathryn L KL Ellinor Patrick T PT Lubitz Steven A SA

Circulation. Genomic and precision medicine 20210728 4

<h4>Background</h4>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.<h4>Methods</h4>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 wh ...[more]

PMID: 34319147

Similar Datasets

Project description:BACKGROUND: Brugada syndrome (BrS) is an inherited arrhythmia syndrome caused by loss-of-function variants in the cardiac sodium channel gene SCN5A (sodium voltage-gated channel alpha subunit 5) in ≈20% of subjects. We identified a family with 4 individuals diagnosed with BrS harboring the rare G145R missense variant in the cardiac transcription factor TBX5 (T-box transcription factor 5) and no SCN5A variant. METHODS: We generated induced pluripotent stem cells (iPSCs) from 2 members of a family carrying TBX5-G145R and diagnosed with Brugada syndrome. After differentiation to iPSC-derived cardiomyocytes (iPSC-CMs), electrophysiologic characteristics were assessed by voltage- and current-clamp experiments (n=9 to 21 cells per group) and transcriptional differences by RNA sequencing (n=3 samples per group), and compared with iPSC-CMs in which G145R was corrected by CRISPR/Cas9 approaches. The role of platelet-derived growth factor (PDGF)/phosphoinositide 3-kinase (PI3K) pathway was elucidated by small molecule perturbation. The rate-corrected QT (QTc) interval association with serum PDGF was tested in the Framingham Heart Study cohort (n=1893 individuals). RESULTS: TBX5-G145R reduced transcriptional activity and caused multiple electrophysiologic abnormalities, including decreased peak and enhanced “late” cardiac sodium current (INa), which were entirely corrected by editing G145R to wildtype. Transcriptional profiling and functional assays in genome-unedited and -edited iPSC-CMs showed direct SCN5A downregulation caused decreased peak INa, and that reduced PDGF receptor (PDGFRA [platelet-derived growth factor receptor α]) expression and blunted signal transduction to PI3K was implicated in enhanced late INa. Tbx5 regulation of the PDGF axis and increased arrhythmia risk with disruption of PDGF sigaling were both conserved in murine model systems. PDGF receptor blockade markedly prolonged normal iPSC-CM action potentials and plasma levels of PDGF in the Framingham Heart Study were inversely correlated with the QTc interval (P

Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

Similar Datasets

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