학술논문

Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease.
Document Type
article
Author
Young, William JHaessler, JeffreyBenjamins, Jan-WalterRepetto, LindaYao, JieIsaacs, AaronHarper, Andrew RRamirez, JuliaGarnier, Sophievan Duijvenboden, StefanBaldassari, Antoine RConcas, Maria PinaDuong, ThuyVyFoco, LuisaIsaksen, Jonas LMei, HaoNoordam, RaymondNursyifa, CasiaRichmond, AnneSantolalla, Meddly LSitlani, Colleen MSoroush, NeginThériault, SébastienTrompet, StellaAeschbacher, StefanieAhmadizar, FaribaAlonso, AlvaroBrody, Jennifer ACampbell, ArchieCorrea, AdolfoDarbar, DawoodDe Luca, AntonioDeleuze, Jean-FrançoisEllervik, ChristinaFuchsberger, ChristianGoel, AnujGrace, ChristopherGuo, XiuqingHansen, TorbenHeckbert, Susan RJackson, Rebecca DKors, Jan ALima-Costa, Maria FernandaLinneberg, AllanMacfarlane, Peter WMorrison, Alanna CNavarro, PauPorteous, David JPramstaller, Peter PReiner, Alexander PRisch, LorenzSchotten, UlrichShen, XiaSinagra, GianfrancoSoliman, Elsayed ZStoll, MonikaTarazona-Santos, EduardoTinker, AndrewTrajanoska, KaterinaVillard, EricWarren, Helen RWhitsel, Eric AWiggins, Kerri LArking, Dan EAvery, Christy LConen, DavidGirotto, GiorgiaGrarup, NielsHayward, CarolineJukema, J WouterMook-Kanamori, Dennis OOlesen, Morten SallingPadmanabhan, SandoshPsaty, Bruce MPattaro, CristianRibeiro, Antonio Luiz PRotter, Jerome IStricker, Bruno Hvan der Harst, Pimvan Duijn, Cornelia MVerweij, NiekWilson, James GOrini, MicheleCharron, PhilippeWatkins, HughKooperberg, CharlesLin, Henry JWilson, James FKanters, Jørgen KSotoodehnia, NonaMifsud, BorbalaLambiase, Pier DTereshchenko, Larisa GMunroe, Patricia B
Source
Nature communications. 14(1)
Subject
Humans
Cardiovascular Diseases
Electrocardiography
Risk Factors
Arrhythmias
Cardiac
Atrioventricular Block
Genome-Wide Association Study
Biomarkers
Human Genome
Cardiovascular
Genetics
Heart Disease
Language
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.