Nature CommunicationsGenetic & Genomic MedicinePeer-reviewed journal article
Genetic analyses of the QT interval and its components in over 250K individuals identifies new loci and pathways affecting ventricular depolarization and repolarization
William John YoungiD, Najim LahrouchiiD, Aaron J. IsaacsiD, ThuyVy DuongiD, Luisa FocoiD, Farah AhmediD, Jennifer A. BrodyiD, Reem SalmaniD, Raymond NoordamiD, Jan Walter BenjaminsiD, Jeffrey HaessleriD, Leo‐Pekka LyytikäineniD, L. RepettoiD, Maria Pina ConcasiD, Marten E. van den BergiD, Stefan WeißiD, Antoine BaldassariiD, Traci M. BartziD, James P. CookiD, Daniel S. EvansiD, Rebecca Freudling, Oliver HinesiD, Jonas Lynggaard IsakseniD, Honghuang LiniD, Hao MeiiD, , Antônio Luiz Pinho RibeiroiD
Abstract
The QT interval is an electrocardiographic measure representing the sum of ventricular depolarization (QRS duration) and repolarization (JT interval). Abnormalities of the QT interval are associated with potentially fatal ventricular arrhythmia. We conducted genome-wide multi-ancestry analyses in >250,000 individuals and identified 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identified associations with Mendelian disease genes. Enrichments were observed in established pathways for QT and JT, with new genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast, connective tissue components and processes for cell growth and extracellular matrix interactions were significantly enriched for QRS. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlighted potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 49
- FWCI
- 7.31
- Field percentile
- top 2%
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