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Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis
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 a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373440/ https://www.ncbi.nlm.nih.gov/pubmed/34319147 http://dx.doi.org/10.1161/CIRCGEN.120.003300 |
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author | Choi, Seung Hoan Jurgens, Sean J. Haggerty, Christopher M. Hall, Amelia W. Halford, Jennifer L. Morrill, Valerie N. Weng, Lu-Chen Lagerman, Braxton Mirshahi, Tooraj Pettinger, Mary Guo, Xiuqing Lin, Henry J. Alonso, Alvaro Soliman, Elsayed Z. Kornej, Jelena Lin, Honghuang Moscati, Arden Nadkarni, Girish N. Brody, Jennifer A. Wiggins, Kerri L. Cade, Brian E. Lee, Jiwon Austin-Tse, Christina Blackwell, Tom Chaffin, Mark D. Lee, Christina J.-Y. Rehm, Heidi L. Roselli, Carolina Redline, Susan Mitchell, Braxton D. Sotoodehnia, Nona Psaty, Bruce M. Heckbert, Susan R. Loos, Ruth J.F. Vasan, Ramachandran S. Benjamin, Emelia J. Correa, Adolfo Boerwinkle, Eric Arking, Dan E. Rotter, Jerome I. Rich, Stephen S. Whitsel, Eric A. Perez, Marco Kooperberg, Charles Fornwalt, Brandon K. Lunetta, Kathryn L. Ellinor, Patrick T. Lubitz, Steven A. |
author_facet | Choi, Seung Hoan Jurgens, Sean J. Haggerty, Christopher M. Hall, Amelia W. Halford, Jennifer L. Morrill, Valerie N. Weng, Lu-Chen Lagerman, Braxton Mirshahi, Tooraj Pettinger, Mary Guo, Xiuqing Lin, Henry J. Alonso, Alvaro Soliman, Elsayed Z. Kornej, Jelena Lin, Honghuang Moscati, Arden Nadkarni, Girish N. Brody, Jennifer A. Wiggins, Kerri L. Cade, Brian E. Lee, Jiwon Austin-Tse, Christina Blackwell, Tom Chaffin, Mark D. Lee, Christina J.-Y. Rehm, Heidi L. Roselli, Carolina Redline, Susan Mitchell, Braxton D. Sotoodehnia, Nona Psaty, Bruce M. Heckbert, Susan R. Loos, Ruth J.F. Vasan, Ramachandran S. Benjamin, Emelia J. Correa, Adolfo Boerwinkle, Eric Arking, Dan E. Rotter, Jerome I. Rich, Stephen S. Whitsel, Eric A. Perez, Marco Kooperberg, Charles Fornwalt, Brandon K. Lunetta, Kathryn L. Ellinor, Patrick T. Lubitz, Steven A. |
author_sort | Choi, Seung Hoan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8373440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-83734402021-09-01 Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis Choi, Seung Hoan Jurgens, Sean J. Haggerty, Christopher M. Hall, Amelia W. Halford, Jennifer L. Morrill, Valerie N. Weng, Lu-Chen Lagerman, Braxton Mirshahi, Tooraj Pettinger, Mary Guo, Xiuqing Lin, Henry J. Alonso, Alvaro Soliman, Elsayed Z. Kornej, Jelena Lin, Honghuang Moscati, Arden Nadkarni, Girish N. Brody, Jennifer A. Wiggins, Kerri L. Cade, Brian E. Lee, Jiwon Austin-Tse, Christina Blackwell, Tom Chaffin, Mark D. Lee, Christina J.-Y. Rehm, Heidi L. Roselli, Carolina Redline, Susan Mitchell, Braxton D. Sotoodehnia, Nona Psaty, Bruce M. Heckbert, Susan R. Loos, Ruth J.F. Vasan, Ramachandran S. Benjamin, Emelia J. Correa, Adolfo Boerwinkle, Eric Arking, Dan E. Rotter, Jerome I. Rich, Stephen S. Whitsel, Eric A. Perez, Marco Kooperberg, Charles Fornwalt, Brandon K. Lunetta, Kathryn L. Ellinor, Patrick T. Lubitz, Steven A. Circ Genom Precis Med Original Articles 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. Lippincott Williams & Wilkins 2021-07-28 /pmc/articles/PMC8373440/ /pubmed/34319147 http://dx.doi.org/10.1161/CIRCGEN.120.003300 Text en © 2021 The Authors. https://creativecommons.org/licenses/by-nc-nd/4.0/Circulation: Genomic and Precision Medicine is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution Non-Commercial-NoDerivs (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited, the use is noncommercial, and no modifications or adaptations are made. |
spellingShingle | Original Articles Choi, Seung Hoan Jurgens, Sean J. Haggerty, Christopher M. Hall, Amelia W. Halford, Jennifer L. Morrill, Valerie N. Weng, Lu-Chen Lagerman, Braxton Mirshahi, Tooraj Pettinger, Mary Guo, Xiuqing Lin, Henry J. Alonso, Alvaro Soliman, Elsayed Z. Kornej, Jelena Lin, Honghuang Moscati, Arden Nadkarni, Girish N. Brody, Jennifer A. Wiggins, Kerri L. Cade, Brian E. Lee, Jiwon Austin-Tse, Christina Blackwell, Tom Chaffin, Mark D. Lee, Christina J.-Y. Rehm, Heidi L. Roselli, Carolina Redline, Susan Mitchell, Braxton D. Sotoodehnia, Nona Psaty, Bruce M. Heckbert, Susan R. Loos, Ruth J.F. Vasan, Ramachandran S. Benjamin, Emelia J. Correa, Adolfo Boerwinkle, Eric Arking, Dan E. Rotter, Jerome I. Rich, Stephen S. Whitsel, Eric A. Perez, Marco Kooperberg, Charles Fornwalt, Brandon K. Lunetta, Kathryn L. Ellinor, Patrick T. Lubitz, Steven A. Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis |
title | Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis |
title_full | Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis |
title_fullStr | Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis |
title_full_unstemmed | Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis |
title_short | Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis |
title_sort | rare coding variants associated with electrocardiographic intervals identify monogenic arrhythmia susceptibility genes: a multi-ancestry analysis |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373440/ https://www.ncbi.nlm.nih.gov/pubmed/34319147 http://dx.doi.org/10.1161/CIRCGEN.120.003300 |
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