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Nature Research, Nature Communications, 1(14), 2023

DOI: 10.1038/s41467-023-36997-w

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Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease

Journal article published in 2023 by William J. Young ORCID, Jeffrey Haessler, Jan-Walter Benjamins ORCID, Linda Repetto, Jie Yao, Aaron Isaacs ORCID, Andrew R. Harper ORCID, Julia Ramirez ORCID, Sophie Garnier ORCID, Stefan van Duijvenboden, Antoine R. Baldassari, Maria Pina Concas ORCID, ThuyVy Duong, Luisa Foco ORCID, Jonas L. Isaksen ORCID and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

AbstractThe 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.