| Title: | Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease |
| Journal: | Nature Communications |
| Published: | 14 Mar 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36918541/ |
| DOI: | https://doi.org/10.1038/s41467-023-36997-w |
| URL: | https://www.nature.com/articles/s41467-023-36997-w.pdf |
Publication 11200
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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.</p>
94 Authors
- William J. Young
- Jeffrey Haessler
- Jan-Walter Benjamins
- Linda Repetto
- Jie Yao
- Aaron Isaacs
- Andrew R. Harper
- Julia Ramirez
- Sophie Garnier
- Stefan van Duijvenboden
- Antoine R. Baldassari
- Maria Pina Concas
- ThuyVy Duong
- Luisa Foco
- Jonas L. Isaksen
- Hao Mei
- Raymond Noordam
- Casia Nursyifa
- Anne Richmond
- Meddly L. Santolalla
- Colleen M. Sitlani
- Negin Soroush
- Sébastien Thériault
- Stella Trompet
- Stefanie Aeschbacher
- Fariba Ahmadizar
- Alvaro Alonso
- Jennifer A. Brody
- Archie Campbell
- Adolfo Correa
- Dawood Darbar
- Antonio De Luca
- Jean-François Deleuze
- Christina Ellervik
- Christian Fuchsberger
- Anuj Goel
- Christopher Grace
- Xiuqing Guo
- Torben Hansen
- Susan R. Heckbert
- Rebecca D. Jackson
- Jan A. Kors
- Maria Fernanda Lima-Costa
- Allan Linneberg
- Peter W. Macfarlane
- Alanna C. Morrison
- Pau Navarro
- David J. Porteous
- Peter P. Pramstaller
- Alexander P. Reiner
- Lorenz Risch
- Ulrich Schotten
- Xia Shen
- Gianfranco Sinagra
- Elsayed Z. Soliman
- Monika Stoll
- Eduardo Tarazona-Santos
- Andrew Tinker
- Katerina Trajanoska
- Eric Villard
- Helen R. Warren
- Eric A. Whitsel
- Kerri L. Wiggins
- Dan E. Arking
- Christy L. Avery
- David Conen
- Giorgia Girotto
- Niels Grarup
- Caroline Hayward
- J.Wouter Jukema
- Dennis O. Mook-Kanamori
- Morten Salling Olesen
- Sandosh Padmanabhan
- Bruce M. Psaty
- Cristian Pattaro
- Antonio Luiz P. Ribeiro
- Jerome I. Rotter
- Bruno H. Stricker
- Pim van der Harst
- Cornelia M. van Duijn
- Niek Verweij
- James G. Wilson
- Michele Orini
- Philippe Charron
- Hugh Watkins
- Charles Kooperberg
- Henry J. Lin
- James F. Wilson
- Jørgen K. Kanters
- Nona Sotoodehnia
- Borbala Mifsud
- Pier D. Lambiase
- Larisa G. Tereshchenko
- Patricia B. Munroe
1 Application
| Application ID | Title |
|---|---|
| 8256 | Understanding genetic influences in the response of the cardiac electrical system to exercise |
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