Research
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In recognition for the conference paper “Ultra-Short Beat-to-Beat Repolarization Variability Predicts Cardiovascular Events in Individuals Without Cardiovascular Disease”, Michele Orini, Stefan van Duijvenboden, Julia Ramírez, Will Young, Andrew Tinker, Patricia B Munroe, and Pier D Lambiase.
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Awarded for the work on “Prognostic value of exercise-induced ventricular ectopy in asymptomatic individuals”, Stefan van Duijvenboden, Julia Ramirez, Michele Orini, Aiden Doherty, Andrew Tinker, Patricia B. Munroe, Pier D. Lambiase. The award was made for our research work and delivery.
International award received by J. Ramírez, S. van Duijvenboden, P. Laguna, A Tinker, P Lambiase, P Munroe and M Orini for their work entitled ‘Cardiovascular Risk Based on the HR Profile Morphology’ at the Computing in Cardiology Meeting in 2018. Maastricht, The Netherlands. The prize included a cheque (US$500 + €500) and a commemorative diploma for communication.
Early Career Award, CHARGE consortium, for contributions to the CHARGE EKG working group and leadership on multiple projects.
Complimentary Congress registration, 1-year membership subscription and €400 towards travel and accommodation.
£500 prize for one of the 4 best abstracts submitted to the BCS conference.
Julia Ramirez was recognized as the best young investigator of the year by Spanish Newspaper ‘Heraldo de Aragon’
Julia Ramirez was recognized as the best young investigator of the year by The Aragon Government
Runner up prize awarded for the abstract “Sixteen loci identified for T-wave morphology changes in response to exercise and recovery from UK Biobank implicate genes governing ventricular repolarization”. J. Ramírez, S. van Duijvenboden, M. Orini et al. It included a £200 prize.
Awarded within Cardiac Rhythm Management abstracts at the British Cardiovascular Society Annual Conference for “Cardiac Repolarization During Exercise Reveals Independent Prognostic information For Cardiovascular Risk Prediction”. S. van Duijvenboden, J. Ramírez, M. Orini et al. It included a £250 prize.
Runner up of the Best of the Best Clinical Science Abstract, for “The cardiovascular predictive value and genetic basis of T-wave morphology”. J. Ramírez, S. van Duijvenboden, P. Laguna, A. Tinker, P. Lambiase, M. Orini, P. Munroe
Award for the work by Ramírez, A. Kiviniemi, S. van Duijvenboden, J. Perkiomaki, H. Huikuri, A. Tinker, P.D. Lambiase, J. Junttila, M. Orini, P.B. Munroe, “Ventricular Arrhythmic Risk Prediction in Low- and Moderate-risk Populations Using a Single-Lead ECG Heartbeat”. Our work was recognised as being important to merit inclusion in the late breaking session of this prestigious meeting. J Ramirez received complimentary congress registration.
Dissecting the Genetic Basis of the ECG as a Means of Understanding Arrhythmia Predisposition.
Will an EP ever need to know how… and why… to edit a gene?
Polygenic risk score for prediction of atrial fibrillation and sudden cardiac death
16 pupils, their teacher and a member of the patient advisory panel attended a virtual session as part of the Barts Science Festival in June 2021 for a one hour session covering the relationships of heart rhythm disorders with genetics. This sparked many questions afterwards and a discussion. Four members of the team organised this activity.
This press release describes results from development of an algorithm able to quantify sudden cardiac death risk from a single beat in a single lead.
Mini-Symposium on ‘Clinical Translation of Genetic Research: A Path from Academia to Industry’, Wednesday 28th April 2018. London, UK. This activity was organised by the two post-docs on the grant - they were interested in engaging with other genetic researchers across academia and industry to gauge their experiences and set up new collaborations. The workshop was very well attended and excellent feedback was received which we have recorded.
This press release describes results from development of an algorithm able to quantify sudden cardiac death risk from a single beat in a single lead.
We wished to highlight our recent study discovering 38 new gene regions that influencing the Tpe interval, an electrocardiographic marker associated with susceptibility to malignant ventricular arrhythmias and sudden cardiac death. Feedback has included interest from students wishing to study with us.
This press release describes results from the first analysis investigating the genetic basis of how heart rate responds during and following exercise.
We wished to widely disseminate results from this study a wide audience as results could one day lead to advanced screening methods to discern who is at greatest risk of developing cardiovascular disease.
Let’s Talk Hearts is supported by NIHR Barts Biomedical Research Centre. It is open to all providing a forum to learn about heart conditions and latest research. Dr Ramirez described work from both her fellowship and the Electrogenomics group, showcasing the research we do. The session provoked lots of interest, questions and discussion to the local community.
This press release describes results from development of an algorithm able to quantify sudden cardiac death risk from a single beat in a single lead.
This was a special session at the Computing in Cardiology conference in September 2020. The format was hybrid - participants online and in Rimini. Members of the group organised, chaired and presented at the session. The purpose was to introduce genetics to this meeting, highlighting our work and to encourage new collaborations. The feedback was excellent and there was over 100 attendees.
Our results provide a resource for other investigators analysing risk factors for CV disease.
Our results provide a resource for other investigators analysing risk factors for CV disease.
Our results provide a resource for other investigators analysing risk factors for CV disease.
Our results provide a resource for other investigators analysing risk factors for CV disease.
Our results provide a resource for other investigators analysing risk factors for CV disease and genetic pleiotropy.
Our results provide a resource for other investigators analysing risk factors for other related diseases.
We provide lead variants from multi-ancestry and ancestry specific analyses of the QT, JT intervals and QRS duration from genome-wide association study. We also highlighted potential druggable targets. The data has been made freely available on GWAS catalog. This data will be used by other researchers to explore biological mechanisms of disease and develop risk stratification tools.
We provide lead variants from multi-ancestry and ancestry specific analyses of the frontal and spatial QRS-T angles from genome-wide association study. The data has been made freely available on GWAS catalog. This data will be used by other researchers to explore biological mechanisms of disease and develop risk stratification tools.
Additional file 1 provided. Additionally, Table S1. Cohort characteristics; Table S2. Single SNP meta-analyses; Table S3. Sex-stratified analyses; Table S4. SKAT analyses; Table S5. T1-burden analyses; Table S6. ADAMTS6 variant details; Table S7. Cardiac phenotype distribution in Adamts6 mutant mice.
Reference MR/R017468/1, to the value of 206,595 GBP.
Reference PID2021-128972OA-I00, to the value of 122,210 EUR, with PIs Ramirez and Munroe.
Reference 786833, to the value of 183,454 EUR.
Reference MR/T00052X/1, to the value of 246,443 GBP.
Reference RYC2021-031413-I, to the value of 236,350 EUR.
Reference PCOFUND-GA-2013-608765, to the value of 69,272 EUR. Funded under the Seventh Framework Programme for Research and Technological Development, Marie Curie Actions - People, Co-funding of regional, national and international programmes (COFUND).
We have provided data from UK Biobank analyses of ECG phenotypes to genetic studies. This collaboration is providing access to datasets for genetic analyses of heart rate and other ECG phenotypes which are the focus of our research actives and outcome data for prediction testing.