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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
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.
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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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