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Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease
- Young, William J;
- Haessler, Jeffrey;
- Benjamins, Jan-Walter;
- Repetto, Linda;
- Yao, Jie;
- Isaacs, Aaron;
- Harper, Andrew R;
- Ramirez, Julia;
- Garnier, Sophie;
- van Duijvenboden, Stefan;
- Baldassari, Antoine R;
- Concas, Maria Pina;
- Duong, ThuyVy;
- Foco, Luisa;
- Isaksen, Jonas L;
- Mei, Hao;
- Noordam, Raymond;
- Nursyifa, Casia;
- Richmond, Anne;
- Santolalla, Meddly L;
- Sitlani, Colleen M;
- Soroush, Negin;
- Thériault, Sébastien;
- Trompet, Stella;
- Aeschbacher, Stefanie;
- Ahmadizar, Fariba;
- Alonso, Alvaro;
- Brody, Jennifer A;
- Campbell, Archie;
- Correa, Adolfo;
- Darbar, Dawood;
- De Luca, Antonio;
- Deleuze, Jean-François;
- Ellervik, Christina;
- Fuchsberger, Christian;
- Goel, Anuj;
- Grace, Christopher;
- Guo, Xiuqing;
- Hansen, Torben;
- Heckbert, Susan R;
- Jackson, Rebecca D;
- Kors, Jan A;
- Lima-Costa, Maria Fernanda;
- Linneberg, Allan;
- Macfarlane, Peter W;
- Morrison, Alanna C;
- Navarro, Pau;
- Porteous, David J;
- Pramstaller, Peter P;
- Reiner, Alexander P;
- Risch, Lorenz;
- Schotten, Ulrich;
- Shen, Xia;
- Sinagra, Gianfranco;
- Soliman, Elsayed Z;
- Stoll, Monika;
- Tarazona-Santos, Eduardo;
- Tinker, Andrew;
- Trajanoska, Katerina;
- Villard, Eric;
- Warren, Helen R;
- Whitsel, Eric A;
- Wiggins, Kerri L;
- Arking, Dan E;
- Avery, Christy L;
- Conen, David;
- Girotto, Giorgia;
- Grarup, Niels;
- Hayward, Caroline;
- Jukema, J Wouter;
- Mook-Kanamori, Dennis O;
- Olesen, Morten Salling;
- Padmanabhan, Sandosh;
- Psaty, Bruce M;
- Pattaro, Cristian;
- Ribeiro, Antonio Luiz P;
- Rotter, Jerome I;
- Stricker, Bruno H;
- van der Harst, Pim;
- van Duijn, Cornelia M;
- Verweij, Niek;
- Wilson, James G;
- Orini, Michele;
- Charron, Philippe;
- Watkins, Hugh;
- Kooperberg, Charles;
- Lin, Henry J;
- Wilson, James F;
- Kanters, Jørgen K;
- Sotoodehnia, Nona;
- Mifsud, Borbala;
- Lambiase, Pier D;
- Tereshchenko, Larisa G;
- Munroe, Patricia B
Published Web Location
https://doi.org/10.1038/s41467-023-36997-wAbstract
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.
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