GENESIS · GENetics and the Electrocardiogram for predicting Scd rISk
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2019-03-18 → 2021-03-17
- EU contribution
- €183,455
- Participants
- 1
- Scheme
- MSCA-IF-EF-ST
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Results in brief
GENetics and the Electrocardiogram for predicting Scd rISk
Sudden cardiac death (SCD) is a common and devastating event, often occurring in the prime of life and having profound consequences for surviving members of the individual’s family . Prospective studies reported annual SCD rates ranging from 40-100 per 100,000 in the general population in the United States, Europe and Asia . Consequently, enhancement of methods for prediction and prevention of SCD are critically important. The main objective of this project is to establish and test a novel effective approach to prevent SCD based on the combination of information derived from cardiac electrophysiological indices and genetic predisposition. The main scientific objective of GENESIS was to establish and test a novel effective approach to prevent SCD based on the combination of information derived from cardiac electrophysiological indices and genetic predisposition. The specific tasks were: • Aim 1: Propose and test the SCD predictive value of a novel ECG risk marker based on the adaptation of 3D T-wave morphological variations to heart rate changes. • Aim 2: Provide a mechanistic interpretation of non-invasive ECG indices based on comparison with intra-cardiac electrophysiological indices simultaneously measured during electrophysiological studies. • Aim 3: Generate personalized risk scores combining genetics, ECG indices and clinical variables to optimize SCD prediction.
Data: CORDIS, © European Union
Project objective
Sudden cardiac death (SCD), a main consequence of malignant ventricular arrhythmias, is a leading cause of cardiovascular mortality in the general population. The early identification of individuals at risk is important. The spatio-temporal dispersion of ventricular repolarization is recognized as one of the major factors modulating the vulnerability to malignant arrhythmias and SCD. The morphology of the T-wave has been proposed to specifically reflect dispersion of ventricular repolarization. As part of my Ph.D, I developed a signal processing method to quantify the single-lead T-wave morphology restitution (TMR) index and I have shown that is strongly associated with SCD risk, but its relationship with intracardiac indices of dispersion of repolarization has never been evaluated. In addition, genome-wide association studies have been successful in identifying genetic variants for ECG indices in the general population, but no previous publications have reported SNPs significantly associated with the T-wave morphology. The main objective of this project is to establish and test a novel effective approach to prevent SCD based on the combination of information derived from cardiac electrophysiological indices and genetic predisposition.The project has three parts: 1) To develop a novel ECG risk marker based on the adaptation of 3D T-wave morphological variations to heart rate changes with strong SCD predictive value. 2) To assess the interaction of non-invasive ECG indices with intra-cardiac electrophysiological indices simultaneously measured during invasive electrophysiological studies. 3) To generate personalized risk scores combining genetics, ECG indices and clinical variables to optimize SCD prediction. This project has the ambition of establishing a new approach to SCD prediction, where genetic screening and advanced cardiac electrophysiological analysis are combined to provide an improved assessment of the predisposition to malignant arrhythmic events.
Original text from CORDIS.
Participants
- QUEEN MARY UNIVERSITY OF LONDON · LONDONCoordinatorUnited Kingdom
Links
Data: CORDIS, © European Union