Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jun 4;106(6):764-778.
doi: 10.1016/j.ajhg.2020.04.009. Epub 2020 May 7.

Common Genetic Variants Modulate the Electrocardiographic Tpeak-to-Tend Interval

Affiliations

Common Genetic Variants Modulate the Electrocardiographic Tpeak-to-Tend Interval

Julia Ramírez et al. Am J Hum Genet. .

Abstract

Sudden cardiac death is responsible for half of all deaths from cardiovascular disease. The analysis of the electrophysiological substrate for arrhythmias is crucial for optimal risk stratification. A prolonged T-peak-to-Tend (Tpe) interval on the electrocardiogram is an independent predictor of increased arrhythmic risk, and Tpe changes with heart rate are even stronger predictors. However, our understanding of the electrophysiological mechanisms supporting these risk factors is limited. We conducted genome-wide association studies (GWASs) for resting Tpe and Tpe response to exercise and recovery in ∼30,000 individuals, followed by replication in independent samples (∼42,000 for resting Tpe and ∼22,000 for Tpe response to exercise and recovery), all from UK Biobank. Fifteen and one single-nucleotide variants for resting Tpe and Tpe response to exercise, respectively, were formally replicated. In a full dataset GWAS, 13 further loci for resting Tpe, 1 for Tpe response to exercise and 1 for Tpe response to exercise were genome-wide significant (p ≤ 5 × 10-8). Sex-specific analyses indicated seven additional loci. In total, we identify 32 loci for resting Tpe, 3 for Tpe response to exercise and 3 for Tpe response to recovery modulating ventricular repolarization, as well as cardiac conduction and contraction. Our findings shed light on the genetic basis of resting Tpe and Tpe response to exercise and recovery, unveiling plausible candidate genes and biological mechanisms underlying ventricular excitability.

Keywords: T-peak-to-T-end interval; cardiac conduction and contraction; cardiovascular dynamics; electrocardiogram; genetic risk score; genetics; genome-wide association study; sudden cadiac death; ventricular arrhythmias; ventricular repolarization.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Assessment of Tpe Indices in the EST-UKB Cohort (Top) Illustration of the RR profile during the exercise stress test. (Bottom) Three averaged heartbeats are derived at rest (black filled circle), peak exercise (red filled circle), and full recovery (blue filled circle), respectively. Resting, peak exercise, and recovery Tpe intervals were derived as the temporal differences between the corresponding T-wave offset and T-wave peak timing locations. Tpe dynamics during exercise was derived by quantifying the difference between the Tpe intervals at rest (black T-wave) and at peak exercise (red T-wave), normalized by the RR change during this interval. Similarly, Tpe dynamics during recovery was derived by quantifying the difference between the Tpe intervals at peak exercise (red T-wave) and full recovery (blue T-wave), normalized by the subsequent RR change.
Figure 2
Figure 2
Density Plots of Tpe Phenotypes Resting Tpe (A), Tpe dynamics during exercise (B), and Tpe dynamics during recovery (C). The blue curves indicate a normal distribution using the mean and standard deviation from each distribution.
Figure 3
Figure 3
Analytical 5-Stage Approach Flowchart Tpe, T-peak-to-Tend interval; SNV, single-nucleotide variant. Additional information can be found in Material and Methods.
Figure 4
Figure 4
Overlap of Resting Tpe, Tpe Response to Exercise, and Tpe Response to Recovery Loci with Other Electrocardiogram Traits SNVs at loci with a known genome-wide significant association (from PhenoScanner or GWAS catalog) with other ECG traits are grouped accordingly. The locus names indicate the nearest coding genes. The KCNJ2 locus was shared between resting Tpe and Tpe dynamics during exercise. There was no loci overlap between Tpe response to recovery and resting Tpe or Tpe response to exercise. There was a substantial number of loci for resting Tpe that did not overlap with other ECG traits. Underlined loci are loci that have previously been associated with other ECG markers but the reported variant was not in high LD (r2 < 0.8) with our lead variant, so potentially independent signals at those loci. Bold loci are loci that have not been associated with other ECG marker. Indicates sex-specific loci. Indicates previously associated with Tpe interval in other studies (PMID: 20215044 and 22342860).

Similar articles

Cited by

  • CLIN_SKAT: an R package to conduct association analysis using functionally relevant variants.
    Chattopadhyay A, Shih CY, Hsu YC, Juang JJ, Chuang EY, Lu TP. Chattopadhyay A, et al. BMC Bioinformatics. 2022 Oct 23;23(1):441. doi: 10.1186/s12859-022-04987-2. BMC Bioinformatics. 2022. PMID: 36274122 Free PMC article.
  • Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease.
    Young WJ, Haessler J, Benjamins JW, Repetto L, Yao J, Isaacs A, Harper AR, Ramirez J, Garnier S, van Duijvenboden S, Baldassari AR, Concas MP, Duong T, Foco L, Isaksen JL, Mei H, Noordam R, Nursyifa C, Richmond A, Santolalla ML, Sitlani CM, Soroush N, Thériault S, Trompet S, Aeschbacher S, Ahmadizar F, Alonso A, Brody JA, Campbell A, Correa A, Darbar D, De Luca A, Deleuze JF, Ellervik C, Fuchsberger C, Goel A, Grace C, Guo X, Hansen T, Heckbert SR, Jackson RD, Kors JA, Lima-Costa MF, Linneberg A, Macfarlane PW, Morrison AC, Navarro P, Porteous DJ, Pramstaller PP, Reiner AP, Risch L, Schotten U, Shen X, Sinagra G, Soliman EZ, Stoll M, Tarazona-Santos E, Tinker A, Trajanoska K, Villard E, Warren HR, Whitsel EA, Wiggins KL, Arking DE, Avery CL, Conen D, Girotto G, Grarup N, Hayward C, Jukema JW, Mook-Kanamori DO, Olesen MS, Padmanabhan S, Psaty BM, Pattaro C, Ribeiro ALP, Rotter JI, Stricker BH, van der Harst P, van Duijn CM, Verweij N, Wilson JG, Orini M, Charron P, Watkins H, Kooperberg C, Lin HJ, Wilson JF, Kanters JK, Sotoodehnia N, Mifsud B, Lambiase PD, Tereshchenko LG, Munroe PB. Young WJ, et al. Nat Commun. 2023 Mar 14;14(1):1411. doi: 10.1038/s41467-023-36997-w. Nat Commun. 2023. PMID: 36918541 Free PMC article.
  • 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.
    Martin SS, Aday AW, Allen NB, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Bansal N, Beaton AZ, Commodore-Mensah Y, Currie ME, Elkind MSV, Fan W, Generoso G, Gibbs BB, Heard DG, Hiremath S, Johansen MC, Kazi DS, Ko D, Leppert MH, Magnani JW, Michos ED, Mussolino ME, Parikh NI, Perman SM, Rezk-Hanna M, Roth GA, Shah NS, Springer MV, St-Onge MP, Thacker EL, Urbut SM, Van Spall HGC, Voeks JH, Whelton SP, Wong ND, Wong SS, Yaffe K, Palaniappan LP; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Committee. Martin SS, et al. Circulation. 2025 Feb 25;151(8):e41-e660. doi: 10.1161/CIR.0000000000001303. Epub 2025 Jan 27. Circulation. 2025. PMID: 39866113 Review.
  • [Intrinsic steady-state pattern of mouse cardiac electrophysiology: analysis using a characterized quantitative electrocardiogram strategy].
    Cheng S, Chen Z, Yu C, Sun T, Zhu S, Liu N, Zhu P. Cheng S, et al. Nan Fang Yi Ke Da Xue Xue Bao. 2024 Oct 20;44(10):1985-1994. doi: 10.12122/j.issn.1673-4254.2024.10.17. Nan Fang Yi Ke Da Xue Xue Bao. 2024. PMID: 39523099 Free PMC article. Chinese.
  • Cardiovascular waveforms - can we extract more from routine signals?
    Nandi M, Anton M, Lyle JV. Nandi M, et al. JRSM Cardiovasc Dis. 2022 Sep 7;11:20480040221121438. doi: 10.1177/20480040221121438. eCollection 2022 Jan-Dec. JRSM Cardiovasc Dis. 2022. PMID: 36092374 Free PMC article.

References

    1. Wong C.X., Brown A., Lau D.H., Chugh S.S., Albert C.M., Kalman J.M., Sanders P. Epidemiology of Sudden Cardiac Death: Global and Regional Perspectives. Heart Lung Circ. 2019;28:6–14. - PubMed
    1. Hayashi M., Shimizu W., Albert C.M. The spectrum of epidemiology underlying sudden cardiac death. Circ. Res. 2015;116:1887–1906. - PMC - PubMed
    1. Myerburg R.J., Reddy V., Castellanos A. Indications for implantable cardioverter-defibrillators based on evidence and judgment. J. Am. Coll. Cardiol. 2009;54:747–763. - PubMed
    1. Panikkath R., Reinier K., Uy-Evanado A., Teodorescu C., Hattenhauer J., Mariani R., Gunson K., Jui J., Chugh S.S. Prolonged Tpeak-to-tend interval on the resting ECG is associated with increased risk of sudden cardiac death. Circ Arrhythm Electrophysiol. 2011;4:441–447. - PMC - PubMed
    1. Yamaguchi M., Shimizu M., Ino H., Terai H., Uchiyama K., Oe K., Mabuchi T., Konno T., Kaneda T., Mabuchi H. T wave peak-to-end interval and QT dispersion in acquired long QT syndrome: a new index for arrhythmogenicity. Clin. Sci. (Lond.) 2003;105:671–676. - PubMed

Publication types