Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease [Genetische Architektur von räumlichen elektrischen Biomarker für Herzrhythmusstörungen und Beziehung zu kardiovaskulären Erkrankungen]

Young WJ, Haessler J, Benjamins JW, Repetto L, Yao J, Isaacs A,..... Stoll M, ..... Lambiase PD, Tereshchenko LG, Munroe PB

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

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 multiancestry 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 QRST 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.

Details zur Publikation

FachzeitschriftNature Communications
Jahrgang / Bandnr. / Volume14
Ausgabe / Heftnr. / Issue1411
StatusVeröffentlicht
Veröffentlichungsjahr2023 (14.03.2023)
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1038/s41467-023-36997-w
Link zum Volltexthttps://www.nature.com/articles/s41467-023-36997-w
StichwörterGenetic; Cardiovascular disease; Biomarkers;

Autor*innen der Universität Münster

Stoll, Monika
Humangenetik, Abt. für Genetische Epidemiologie