Journal
NATURE COMMUNICATIONS
Volume 14, Issue 1, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41467-023-36997-w
Keywords
-
Categories
Ask authors/readers for more resources
Using multi-ancestry genome-wide association studies, this research identified 61 loci related to spatial QRS-T angle and 11 loci related to frontal QRS-T angle. These loci also showed shared genetic influences with classical ECG traits and were associated with cardiovascular diseases. The findings provide insights into the biology of QRS-T angles and their relationships with cardiovascular traits and diseases, which can inform future research and risk prediction.
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. The spatial and frontal QRS-T angles are electrocardiographic (ECG) predictors for arrhythmia. This work used genetic analyses to identify associated loci and pathways, and explore their relationships with other ECG traits and cardiovascular disease.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available