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GENESIS SIGNED

GENetics and the Electrocardiogram for predicting Scd rISk

Total Cost €

EC-Contrib. €

Partnership

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GENESIS project word cloud

Explore the words cloud of the GENESIS project. It provides you a very rough idea of what is the project "GENESIS" about.

snps successful prediction modulating temporal scores marker arrhythmias predisposition combining shown cardiac relationship interaction ambition identification tmr invasive establishing signal index genetics reported arrhythmic restitution prevent variations spatio vulnerability ph scd death repolarization combined genome indices variables morphological events heart malignant electrophysiological population dispersion screening reflect ecg mortality consequence morphology personalized generate never single clinical simultaneously predictive risk sudden quantify optimize measured significantly genetic variants 3d cardiovascular parts association rate intracardiac combination publications ventricular individuals wave

Project "GENESIS" data sheet

The following table provides information about the project.

Coordinator	QUEEN MARY UNIVERSITY OF LONDON Organization address address: 327 MILE END ROAD city: LONDON postcode: E1 4NS website: http://www.qmul.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Total cost	183˙454 €
EC max contribution	183˙454 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2017
Funding Scheme	MSCA-IF-EF-ST
Starting year	2019
Duration (year-month-day)	from 2019-03-18 to 2021-03-17

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	QUEEN MARY UNIVERSITY OF LONDON QUEEN MARY UNIVERSITY OF LONDON Organization address address: 327 MILE END ROAD city: LONDON postcode: E1 4NS website: http://www.qmul.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (LONDON)	coordinator	183˙454.00

Map

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.

Publications

List of publications.
year	authors and title	journal	last update
2019	Kenneth Fung, Julia RamÃrez, Helen R. Warren, Nay Aung, Aaron M. Lee, Evan Tzanis, Steffen E. Petersen, Patricia B. Munroe Genome-wide association study identifies loci for arterial stiffness index in 127,121 UK Biobank participants published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-019-45703-0	Scientific Reports 9/1	2019-10-01

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The information about "GENESIS" are provided by the European Opendata Portal: CORDIS opendata.