Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders

<div><p>The resting QT interval, an electrocardiographic (ECG) measure of ventricular myocardial repolarization, is a heritable risk marker of cardiovascular mortality, but the mechanisms remain incompletely understood. Previously reported candidate genes have provided insights into the...

Full description

Saved in:
Bibliographic Details
Main Author: Stefan van Duijvenboden (7116386) (author)
Other Authors: Julia Ramírez (4506787) (author), William J Young (11285093) (author), Michele Orini (3097818) (author), Borbala Mifsud (3907267) (author), Andrew Tinker (477693) (author), Pier D Lambiase (10680720) (author), Patricia B Munroe (7948379) (author)
Published: 2021
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864513517668794368
author Stefan van Duijvenboden (7116386)
author2 Julia Ramírez (4506787)
William J Young (11285093)
Michele Orini (3097818)
Borbala Mifsud (3907267)
Andrew Tinker (477693)
Pier D Lambiase (10680720)
Patricia B Munroe (7948379)
author2_role author
author
author
author
author
author
author
author_facet Stefan van Duijvenboden (7116386)
Julia Ramírez (4506787)
William J Young (11285093)
Michele Orini (3097818)
Borbala Mifsud (3907267)
Andrew Tinker (477693)
Pier D Lambiase (10680720)
Patricia B Munroe (7948379)
author_role author
dc.creator.none.fl_str_mv Stefan van Duijvenboden (7116386)
Julia Ramírez (4506787)
William J Young (11285093)
Michele Orini (3097818)
Borbala Mifsud (3907267)
Andrew Tinker (477693)
Pier D Lambiase (10680720)
Patricia B Munroe (7948379)
dc.date.none.fl_str_mv 2021-07-19T03:00:00Z
dc.identifier.none.fl_str_mv 10.1093/hmg/ddab197
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Genomic_and_pleiotropic_analyses_of_resting_QT_interval_identifies_novel_loci_and_overlap_with_atrial_electrical_disorders/25713804
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Cardiovascular medicine and haematology
Resting QT interval
Electrocardiographic (ECG) measure
Variants
European ancestry
UK Biobank
Loci
dc.title.none.fl_str_mv Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <div><p>The resting QT interval, an electrocardiographic (ECG) measure of ventricular myocardial repolarization, is a heritable risk marker of cardiovascular mortality, but the mechanisms remain incompletely understood. Previously reported candidate genes have provided insights into the regulatory mechanisms of the QT interval. However, there are still important knowledge gaps. We aimed to gain new insights by (i) providing new candidate genes, (ii) identifying pleiotropic associations with other cardiovascular traits, and (iii) scanning for sexually dimorphic genetic effects. We conducted a genome-wide association analysis for resting QT interval with ~9.8 million variants in 52 107 individuals of European ancestry without known cardiovascular disease from the UK Biobank. We identified 40 loci, 13 of which were novel, including 2 potential sex-specific loci, explaining ~11% of the trait variance. Candidate genes at novel loci were involved in myocardial structure and arrhythmogenic cardiomyopathy. Investigation of pleiotropic effects of QT interval variants using phenome-wide association analyses in 302 000 unrelated individuals from the UK Biobank and pairwise genome-wide comparisons with other ECG and cardiac imaging traits revealed genetic overlap with atrial electrical pathology. These findings provide novel insights into how abnormal myocardial repolarization and increased cardiovascular mortality may be linked.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Human Molecular Genetics<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1093/hmg/ddab197" target="_blank">https://dx.doi.org/10.1093/hmg/ddab197</a></p>
eu_rights_str_mv openAccess
id Manara2_9543e7c18b6ca03cbdb5b725cc20f198
identifier_str_mv 10.1093/hmg/ddab197
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25713804
publishDate 2021
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disordersStefan van Duijvenboden (7116386)Julia Ramírez (4506787)William J Young (11285093)Michele Orini (3097818)Borbala Mifsud (3907267)Andrew Tinker (477693)Pier D Lambiase (10680720)Patricia B Munroe (7948379)Biomedical and clinical sciencesCardiovascular medicine and haematologyResting QT intervalElectrocardiographic (ECG) measureVariantsEuropean ancestryUK BiobankLoci<div><p>The resting QT interval, an electrocardiographic (ECG) measure of ventricular myocardial repolarization, is a heritable risk marker of cardiovascular mortality, but the mechanisms remain incompletely understood. Previously reported candidate genes have provided insights into the regulatory mechanisms of the QT interval. However, there are still important knowledge gaps. We aimed to gain new insights by (i) providing new candidate genes, (ii) identifying pleiotropic associations with other cardiovascular traits, and (iii) scanning for sexually dimorphic genetic effects. We conducted a genome-wide association analysis for resting QT interval with ~9.8 million variants in 52 107 individuals of European ancestry without known cardiovascular disease from the UK Biobank. We identified 40 loci, 13 of which were novel, including 2 potential sex-specific loci, explaining ~11% of the trait variance. Candidate genes at novel loci were involved in myocardial structure and arrhythmogenic cardiomyopathy. Investigation of pleiotropic effects of QT interval variants using phenome-wide association analyses in 302 000 unrelated individuals from the UK Biobank and pairwise genome-wide comparisons with other ECG and cardiac imaging traits revealed genetic overlap with atrial electrical pathology. These findings provide novel insights into how abnormal myocardial repolarization and increased cardiovascular mortality may be linked.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Human Molecular Genetics<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1093/hmg/ddab197" target="_blank">https://dx.doi.org/10.1093/hmg/ddab197</a></p>2021-07-19T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1093/hmg/ddab197https://figshare.com/articles/journal_contribution/Genomic_and_pleiotropic_analyses_of_resting_QT_interval_identifies_novel_loci_and_overlap_with_atrial_electrical_disorders/25713804CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/257138042021-07-19T03:00:00Z
spellingShingle Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders
Stefan van Duijvenboden (7116386)
Biomedical and clinical sciences
Cardiovascular medicine and haematology
Resting QT interval
Electrocardiographic (ECG) measure
Variants
European ancestry
UK Biobank
Loci
status_str publishedVersion
title Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders
title_full Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders
title_fullStr Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders
title_full_unstemmed Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders
title_short Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders
title_sort Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders
topic Biomedical and clinical sciences
Cardiovascular medicine and haematology
Resting QT interval
Electrocardiographic (ECG) measure
Variants
European ancestry
UK Biobank
Loci