Faculty, Staff and Student Publications

Authors

William J Young
Jeffrey Haessler
Jan-Walter Benjamins
Linda Repetto
Jie Yao
Aaron Isaacs
Andrew R Harper
Julia Ramirez
Sophie Garnier
Stefan van Duijvenboden
Antoine R Baldassari
Maria Pina Concas
ThuyVy Duong
Luisa Foco
Jonas L Isaksen
Hao Mei
Raymond Noordam
Casia Nursyifa
Anne Richmond
Meddly L Santolalla
Colleen M Sitlani
Negin Soroush
Sébastien Thériault
Stella Trompet
Stefanie Aeschbacher
Fariba Ahmadizar
Alvaro Alonso
Jennifer A Brody
Archie Campbell
Adolfo Correa
Dawood Darbar
Antonio De Luca
Jean-François Deleuze
Christina Ellervik
Christian Fuchsberger
Anuj Goel
Christopher Grace
Xiuqing Guo
Torben Hansen
Susan R Heckbert
Rebecca D Jackson
Jan A Kors
Maria Fernanda Lima-Costa
Allan Linneberg
Peter W Macfarlane
Alanna C Morrison
Pau Navarro
David J Porteous
Peter P Pramstaller
Alexander P Reiner
Lorenz Risch
Ulrich Schotten
Xia Shen
Gianfranco Sinagra
Elsayed Z Soliman
Monika Stoll
Eduardo Tarazona-Santos
Andrew Tinker
Katerina Trajanoska
Eric Villard
Helen R Warren
Eric A Whitsel
Kerri L Wiggins
Dan E Arking
Christy L Avery
David Conen
Giorgia Girotto
Niels Grarup
Caroline Hayward
J Wouter Jukema
Dennis O Mook-Kanamori
Morten Salling Olesen
Sandosh Padmanabhan
Bruce M Psaty
Cristian Pattaro
Antonio Luiz P Ribeiro
Jerome I Rotter
Bruno H Stricker
Pim van der Harst
Cornelia M van Duijn
Niek Verweij
James G Wilson
Michele Orini
Philippe Charron
Hugh Watkins
Charles Kooperberg
Henry J Lin
James F Wilson
Jørgen K Kanters
Nona Sotoodehnia
Borbala Mifsud
Pier D Lambiase
Larisa G Tereshchenko
Patricia B Munroe

Publication Date

3-14-2023

Journal

Nature Communications

Abstract

The 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry genome-wide association studies we identify 61 (58 previously unreported) loci for the spatial QRS-T angle (N = 118,780) and 11 for the frontal QRS-T angle (N = 159,715). Seven out of the 61 spatial QRS-T angle loci have not been reported for other electrocardiographic measures. Enrichments are observed in pathways related to cardiac and vascular development, muscle contraction, and hypertrophy. Pairwise genome-wide association studies with classical ECG traits identify shared genetic influences with PR interval and QRS duration. Phenome-wide scanning indicate associations with atrial fibrillation, atrioventricular block and arterial embolism and genetically determined QRS-T angle measures are associated with fascicular and bundle branch block (and also atrioventricular block for the frontal QRS-T angle). We identify potential biology involved in the QRS-T angle and their genetic relationships with cardiovascular traits and diseases, may inform future research and risk prediction.

Keywords

Humans, Cardiovascular Diseases, Atrioventricular Block, Genome-Wide Association Study, Risk Factors, Arrhythmias, Cardiac, Electrocardiography, Biomarkers

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