Dr Julia RamirezHonorary Lecturer in Cardiovascular Data Science and GeneticsCentre: Clinical Pharmacology and Precision MedicineEmail: j.ramirez@qmul.ac.ukTelephone: +44(0) 20 7882 2101 Website: https://juliaramirez.netTwitter: @Ju_Ra_GaProfileResearchPublicationsSponsorsCollaboratorsNewsProfileI received a M.Sc. degree in Telecommunications Engineering from the University of Zaragoza, Spain, in 2011, followed by a M.Sc. degree in Biomedical Engineering from the same university in 2013. I then pursued my doctoral studies to achieve a PhD in Biomedical Engineering, funded by a pre-doctoral fellowship from the University of Zaragoza and by a research contract from “Centro de Investigación Biomédica En Red – Bioingeniería, biomateriales y Nanomedicina (CIBER-BBN)”. During my PhD studies, I did two 3-months research stays funded by CIBER-BBN mobility grants, the first one at University Hospital of Zurich with Dr Laurence Jacobs and the second one at University College London with Dr Michele Orini. In March 2017, I obtained my Ph.D. in Biomedical Engineering from the University of Zaragoza, supervised by Professor Pablo Laguna and Professor Esther Pueyo in the form of an International Doctorate, achieving a summa cum laude distinction. After finishing my PhD in March 2017, I moved to Queen Mary University of London with Professor Patricia Munroe, as a Medical Research Council postdoctoral researcher. This was a highlight in my research career, as I expanded my skillset to learn genetics and bioinformatics. In July 2017, I was awarded a WHRI-ACADEMY COFUND International Fellowship, by the Marie Curie Actions, H2020, European Commission. Then, in February 2018 I was awarded a Marie Skłodowska-Curie Individual Fellowship, also by the Marie Curie Actions, H2020, European Commission. In April 2020 I was promoted to Lecturer in Cardiovascular Data Science and is my current academic position. Memberships International Genetic Epidemiology SocietyAmerican Society of Human Genetics Awards 2019 ESC-CinC Clinical Needs Translational Award, including a cheque (US$500 + €500) and a commemorative diploma. 2019 UK Biobank Early Career Competition, Top 20 abstract. 2019 Best of the best clinical abstract – cardiac rhythm management – Runner up, awarded at the “British Cardiovascular Society”. 2018 Best Poster Award – Runner up, awarded at the “A to Z of Sudden Cardiac Death Conference”. It included a £200 prize. 2018 ESC-CinC Clinical Needs Translational Award, including a cheque (US$500 + €500) and a commemorative diploma. 2018 FP7 Marie Curie Action – H2020-MSCA-IF-2017MSCA-IF-EF-ST-786833. GENESIS: GENetics and the Electrogardiogram for predicting Scd rISk. € 183,454.8 funding for 24 months of research. 2017 FP7 Marie Curie Action - WHRI-ACADEMY COFUND International Fellowship. PCOFUND-GA-2013-608765. Gene2TSCD: Genotype-Phenotype analysis of dynamic ECG T-wave morphology changes and their role in risk stratification of Sudden Cardiac Death. € 69,272 funding for 15 months of research. 2016 Michael Ringborn Young Investigator Award for the best oral presentation. 2016 Mortara mobility fellowship, awarded by MORTARA. It included a $2,000 prize to cover the conference costs. 2015 CIBER Mobility grant, awarded by the “Centro de Ingeniería Biomédica en Red”. Includes funding for a 3-month research stay. 2014 Michael Ringborn Young Investigator Award for the best oral presentation. 2014 Jos Willems Young Investigator finalist. 2013 Rosanna Degani Young Investigator Award for the best written and oral presentation, awarded by Computing in Cardiology conference. It included a $2.000 prize. 2012 Gary and Bill Sanders award for the best poster presentation, awarded by Computing in Cardiology conference. It included a $150 prize. 2012 CIBER Mobility grant, awarded by the “Centro de Ingeniería Biomédica en Red”. Includes funding for a 3-month research stay. 2011 PhD Fellowship, University of Zaragoza, Zaragoza, Spain, 2012-2013. 2009 ERASMUS Program undergraduate mobility fellowship, EU ERASMUS Program, 2010-2011. 2006 Red Leaf summer exchange fellowship, Red Leaf, 2006. ResearchGroup members I am a Lecturer within the Clinical Pharmacology research group led by Prof Patricia Munroe at the William Harvey Research Institute. I am also part of the ‘Electrogenomics group’, a joint collaboration between Queen Mary University of London (Prof Patricia Munroe, Prof Andrew Tinker, Dr William Young and me) and University College London (Prof Pier Lambiase, Dr Michele Orini and Dr Stefan van Duijvenboden). Summary My research involves different strands: Electrocardiogram signal processing to extract information for cardiovascular risk stratification Genetic analyses and bioinformatics to understand the biology underlying cardiovascular risk factors Epidemiology and data science to investigate the relationship between different cardiovascular risk factors Statistics and machine learning to combine information from multiple risk factors and optimise risk stratification Publications Young W, Sanghvi MM, Ramirez J et al. (2024). Circulating metabolites associate with the QT interval in individuals without prevalent cardiovascular disease. nameOfConference DOI: 10.1093/eurheartj/ehae666.2742 QMRO: qmroHref Naderi H, Ramirez J, Van Duijvenboden S et al. (2024). Diagnostic and prognostic value of ECG-predicted hypertension mediated left ventricular hypertrophy using machine learning. nameOfConference DOI: 10.1093/eurheartj/ehae666.2524 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/101361 Ramirez J, Martinez JP, Van Duijvenboden S et al. (2024). Long-term time-to-ventricular arrhythmic event prediction using a deep learning based model on the electrocardiogram signal. nameOfConference DOI: 10.1093/eurheartj/ehae666.3434 QMRO: qmroHref Van Duijvenboden S, Nicholson G, Smith-Byrne K et al. (2024). The genetic architecture of exercise-induced ventricular ectopy. nameOfConference DOI: 10.1093/eurheartj/ehae666.3668 QMRO: qmroHref Gmez N, Ramrez J, Martn-Yebra A et al. (2024). T-Wave Peak-to-End Changes Quantified by Time-Warping Predicts Ventricular Fibrillation in a Porcine Myocardial Infarction Model. nameOfConference DOI: 10.1109/tbme.2024.3404254 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/100789 Sanghvi M, Ramirez J, Petersen S et al. (2024). Kiosk 11R-TC-05 Investigation of the Modulatory Effect of Physical Activity on Genetic Variants Associated with Left Ventricular Mass. nameOfConference DOI: 10.1016/j.jocmr.2024.100322 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/96500 Ramírez J, Miguel A, van Duijvenboden S et al. (2023). A Multilayer CNN Using the ECG, Age and Sex Predicts Ventricular Arrhythmias in the General Population. 2023 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2023.342 QMRO: qmroHref Gómez N, Ramírez J, Martín-Yebra A et al. (2023). Changes in T-Peak-to-T-End Morphology Measured by Time-Warping are Associated with Ischemia-Induced Ventricular Fibrillation in a Porcine Model. 2023 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2023.408 QMRO: qmroHref Madrid J, Munroe PB, van Duijvenboden S et al. (2023). ECG-Based Unsupervised Clustering in Coronary Artery Disease Associates with Ventricular Arrhythmia. 2023 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2023.169 QMRO: qmroHref Orini M, van Duijvenboden S, Ramírez J et al. (2023). Ultra-Short Beat-to-Beat Repolarization Variability Predicts Cardiovascular Events in Individuals Without Cardiovascular Disease. 2023 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2023.178 QMRO: qmroHref Ramirez J, Martinez JP, Van Duijvenboden S et al. (2023). Combining hypothesis-driven ECG indices with machine learning improves ventricular arrhythmic risk prediction in a low-risk population. nameOfConference DOI: 10.1093/eurheartj/ehad655.2914 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/92064 Orini M, Van Duijvenboden S, Young WJ et al. (2023). Ultra-short heart rate variability over 15 seconds is associated with increased long-term risk of cardiovascular disease. nameOfConference DOI: 10.1093/eurheartj/ehad655.2912 QMRO: qmroHref Gmez N, Ramrez J, Martnez JP et al. (2023). Time-Warping Analysis of the T-Wave Peak-to-End Interval to Quantify Ventricular Repolarization Dispersion During Ischemia. nameOfConference DOI: 10.1109/jbhi.2023.3310878 QMRO: qmroHref Orini M, van Duijvenboden S, Young WJ et al. (publicationYear). Long-term association of ultra-short heart rate variability with cardiovascular events. nameOfConference DOI: 10.1038/s41598-023-45988-2 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/92007 van Duijvenboden S, Ramírez J, Orini M et al. (2023). Prognostic Significance of Different Ventricular Ectopic Burdens During Submaximal Exercise in Asymptomatic UK Biobank Subjects. nameOfConference DOI: 10.1161/circulationaha.123.064633 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/92058 van Duijvenboden S, Ramírez J, Young WJ et al. (2023). Integration of genetic fine-mapping and multi-omics data reveals candidate effector genes for hypertension. nameOfConference DOI: 10.1016/j.ajhg.2023.08.009 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/91151 Madrid J, Ramírez J, Mincholé A (publicationYear). ECG-Based Unsupervised Clustering in Coronary Artery Disease Associates with Ventricular Arrhythmia. nameOfConference DOI: 10.26754/jjii3a.20239034 QMRO: qmroHref Naderi H, Ramirez J, Van Duijvenboden S et al. (2023). Classifying hypertension mediated left ventricular hypertrophy phenotypes from the 12-lead electrocardiogram using machine learning. nameOfConference DOI: 10.1093/ehjci/jead119.054 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/89241 Sanghvi MM, Aung N, Ramirez J et al. (2023). The association between non-lipid metabolomic biomarkers and prognostically important left ventricular phenotypes. nameOfConference DOI: 10.1093/ehjci/jead119.284 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/89239 Munroe P (2023). Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning. nameOfConference DOI: 10.1093/ehjdh/ztad037 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/88699 Graham SE, Clarke SL, Wu K-HH et al. (2023). Author Correction: The power of genetic diversity in genome-wide association studies of lipids. nameOfConference DOI: 10.1038/s41586-023-06194-2 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/92162 Young WJ, Haessler J, Benjamins J-W et al. (publicationYear). Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease. nameOfConference DOI: 10.1038/s41467-023-36997-w QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/88700 Orini M, van Duijvenboden S, Young WJ et al. (2023). Premature atrial and ventricular contractions detected on wearable-format electrocardiograms and prediction of cardiovascular events. nameOfConference DOI: 10.1093/ehjdh/ztad007 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/88698 Gómez N, Ramírez J, Martínez JP et al. (2022). Time-Warping Based End-of-T-Wave Shape Marker Reflects Repolarization Changes During Ischemia. 2022 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2022.397 QMRO: qmroHref Orini M, van Duijvenboden S, Ramírez J et al. (2022). Uncoupling Between Heart Rate Variability and Heart Rate During Exercise and Recovery as a Predictor of Cardiovascular Events. 2022 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2022.229 QMRO: qmroHref Kanoni S, Graham SE, Wang Y et al. (publicationYear). Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis. nameOfConference DOI: 10.1186/s13059-022-02837-1 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84269 Yengo L, Vedantam S, Marouli E et al. (2022). A saturated map of common genetic variants associated with human height. nameOfConference DOI: 10.1038/s41586-022-05275-y QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84268 Young WJ, Lahrouchi N, Isaacs A et al. (publicationYear). Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways. nameOfConference DOI: 10.1038/s41467-022-32821-z QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/82522 Ramírez J, Kiviniemi A, van Duijvenboden S et al. (2022). ECG T‐Wave Morphologic Variations Predict Ventricular Arrhythmic Risk in Low‐ and Moderate‐Risk Populations. nameOfConference DOI: 10.1161/jaha.121.025897 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/82524 Palmieri F, Gomis P, Ferreira D et al. (2022). Weighted Time Warping Improves T-Wave Morphology Markers Clinical Significance. nameOfConference DOI: 10.1109/tbme.2022.3153791 QMRO: qmroHref Ramdas S, Judd J, Graham SE et al. (2022). A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids. nameOfConference DOI: 10.1016/j.ajhg.2022.06.012 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84264 Ramírez J, Van Duijvenboden S, Young W et al. (2022). Prediction of coronary artery disease and major adverse cardiovascular events using clinical and genetic risk scores for cardiovascular risk factors. nameOfConference DOI: 10.1016/j.atherosclerosis.2022.06.012 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/80606 Ramírez J, van Duijvenboden S, Young WJ et al. (publicationYear). Prediction of Coronary Artery Disease and Major Adverse Cardiovascular Events Using Clinical and Genetic Risk Scores for Cardiovascular Risk Factors. nameOfConference DOI: 10.1161/circgen.121.003441 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/80125 Rezaei MJ, Woodward JR, Ramirez J et al. (2022). Combination of Isolation Forest, SMOTE and Ensemble Learning for the classification of Atrial Fibrillation and Ventricular Arrhythmia. 2021 International Conference on Biomedical Innovations and Applications (BIA) DOI: 10.1109/bia52594.2022.9831212 QMRO: qmroHref Naderi H, Ramírez J, Van Duijvenboden S et al. (2022). PREDICTING THE PATTERN OF ANATOMICAL LEFT VENTRICULAR HYPERTROPHY USING ELECTROPHYSIOLOGICAL BIOMARKERS FROM THE ECG QRS COMPLEX IN HYPERTENSIVE INDIVIDUALS FROM UK BIOBANK. nameOfConference DOI: 10.1097/01.hjh.0000835328.40233.c1 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/83590 Naderi H, Ramirez J, van Duijvenboden S et al. (2022). Classifying hypertension mediated left ventricular hypertrophy patterns from the electrocardiogram using machine learning. nameOfConference DOI: doi QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/83567 Ramirez J, van Duijvenboden S, Young WJ et al. (2022). Prediction of coronary artery disease: Do risk factor genetic risk scores add value?. nameOfConference DOI: doi QMRO: qmroHref Graham SE, Clarke SL, Wu K-HH et al. (2021). The power of genetic diversity in genome-wide association studies of lipids. nameOfConference DOI: 10.1038/s41586-021-04064-3 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/75769 Fung K, Biasiolli L, Hann E et al. (2021). 9 Identification of thirty novel loci for cardiovascular magnetic resonance derived aortic distensibility in the UK Biobank. BSCMR 2021 DOI: 10.1136/heartjnl-2021-bscmr.9 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/75262 Ayllón BT, Basu J, Burrage M et al. (2021). The British Cardiovascular Society Young Investigator Award 2021. nameOfConference DOI: 10.1136/heartjnl-2021-320100 QMRO: qmroHref van Duijvenboden S, Ramírez J, Young WJ et al. (2021). Genomic and pleiotropic analyses of resting QT interval identifies novel loci and overlap with atrial electrical disorders. nameOfConference DOI: 10.1093/hmg/ddab197 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/74481 Bukhari HA, Palmieri F, Ramrez J et al. (2021). Characterization of T Wave Amplitude, Duration and Morphology Changes During Hemodialysis: Relationship With Serum Electrolyte Levels and Heart Rate. nameOfConference DOI: 10.1109/tbme.2020.3043844 QMRO: qmroHref Palmieri F, Gomis P, Ruiz JE et al. (2021). ECG-based monitoring of blood potassium concentration: Periodic versus principal component as lead transformation for biomarker robustness. nameOfConference DOI: 10.1016/j.bspc.2021.102719 QMRO: qmroHref Ramírez J, van Duijvenboden S, Young WJ et al. (2021). Analysing electrocardiographic traits and predicting cardiac risk in UK biobank. nameOfConference DOI: 10.1177/20480040211023664 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/73022 van Duijvenboden S, Ramirez J, Orini M et al. (2021). 85 Prognostic value of premature ventricular complexes during exercise stress testing in 56,000 individuals without known structural heart disease from UK biobank: is a single ectopic prognostic?. Cardiac rhythm management DOI: 10.1136/heartjnl-2021-bcs.85 QMRO: qmroHref Young W, Warren H, Mook-Kanamori D et al. (2021). BS8 Genetically-determined serum calcium levels influence markers of ventricular repolarisation: a mendelian randomisation study. Basic science DOI: 10.1136/heartjnl-2021-bcs.206 QMRO: qmroHref Ramírez J (2021). E Abnormal resting ECG t-wave morphology predicts ventricular arrhythmic risk in a large “low-risk” cohort. Young investigators award DOI: 10.1136/heartjnl-2021-bcs.239 QMRO: qmroHref Rezaei MJ, Woodward JR, Ramírez J et al. (publicationYear). A Novel Two-Stage Heart Arrhythmia Ensemble Classifier. nameOfConference DOI: 10.3390/computers10050060 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/75500 Young WJ, Warren HR, Mook-Kanamori DO et al. (2021). Genetically Determined Serum Calcium Levels and Markers of Ventricular Repolarization. nameOfConference DOI: 10.1161/circgen.120.003231 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71688 Palmieri F, Gomis P, Ruiz JE et al. (publicationYear). Nonlinear T-Wave Time Warping-Based Sensing Model for Non-Invasive Personalised Blood Potassium Monitoring in Hemodialysis Patients: A Pilot Study. nameOfConference DOI: 10.3390/s21082710 QMRO: qmroHref Mensah-Kane J, Schmidt AF, Hingorani AD et al. (publicationYear). No Clinically Relevant Effect of Heart Rate Increase and Heart Rate Recovery During Exercise on Cardiovascular Disease: A Mendelian Randomization Analysis. nameOfConference DOI: 10.3389/fgene.2021.569323 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71311 Palmieri F, Gomis P, Ferreira D et al. (publicationYear). Monitoring blood potassium concentration in hemodialysis patients by quantifying T-wave morphology dynamics. nameOfConference DOI: 10.1038/s41598-021-82935-5 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/70955 Palmieri F, Gomis P, Ruiz JE et al. (2021). Weighted Time Warping T-Wave Analysis Robust to Delineation Errors: Clinical Implications. 2021 Computing in Cardiology (CinC) DOI: 10.23919/cinc53138.2021.9662738 QMRO: qmroHref Ramirez J, van Duijvenboden S, Young WJ et al. (2021). Prediction of Coronary Artery Disease using Traditional and Genetic Risk Scores for Cardiovascular Risk Factors. nameOfConference DOI: doi QMRO: qmroHref Palmieri F, Gomis P, Esteban Ruiz J et al. (2021). Weighted TimeWarping T-Wave Analysis Robust to Delineation Errors: Clinical Implications. nameOfConference DOI: 10.22489/CinC.2021.100 QMRO: qmroHref van Duijvenboden S, Ramírez J, Young WJ et al. (2020). Evaluating the Impact of Physiological Variability in Genome-Wide Association Studies of Resting Heart Rate. 2020 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2020.483 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71389 Aung N, Young WJ, van Duijvenboden S et al. (2020). Genetic Architecture of Quantitative Cardiovascular Traits: Blood Pressure, ECG and Imaging Phenotypes. 2020 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2020.477 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71388 Palmieri F, Gomis P, Ruiz JE et al. (2020). Potassium Monitoring From Multilead T-wave Morphology Changes During Hemodyalisis: Periodic Versus Principal Component Analysis. 2020 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2020.199 QMRO: qmroHref Ramírez J, van Duijvenboden S, Tinker A et al. (2020). Sex Differences in the Morphology of RR-Matched T-waves. 2020 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2020.402 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71366 Young WJ, Ramírez J, van Duijvenboden S et al. (2020). Will Genetic Data Significantly Change Cardiovascular Risk Prediction in Daily Practice?. 2020 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2020.481 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71749 Ramírez J, Tinker A (2020). Ventricular Restitution Predicts Paroxysmal Atrial Fibrillation in Horses. nameOfConference DOI: 10.1093/function/zqaa038 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/80120 Rezaei MJ, Woodward JR, Ramírez J et al. (2020). Data Augmentation for Heart Arrhythmia Classification. 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI) DOI: 10.1109/ictai50040.2020.00145 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/69806 Young WJ, van Duijvenboden S, Ramírez J et al. (2021). A Method to Minimise the Impact of ECG Marker Inaccuracies on the Spatial QRS-T angle: Evaluation on 1,512 Manually Annotated ECGs. nameOfConference DOI: 10.1016/j.bspc.2020.102305 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/68931 García-González J, Ramírez J, Howard DM et al. (2020). The effects of polygenic risk for psychiatric disorders and smoking behaviour on psychotic experiences in UK Biobank. nameOfConference DOI: 10.1038/s41398-020-01009-8 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/67459 Ramirez J, Van Duijvenboden S, Young WJ et al. (2020). Interaction between ECG and Genetic Markers of Coronary Artery Disease. CinC 2020 DOI: 10.22489/CinC.2020.478 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71387 Weng LC, Hall AW, Choi SH et al. (2020). Genetic determinants of electrocardiographic P-wave duration and relation to atrial fibrillation. nameOfConference DOI: 10.1161/CIRCGEN.119.002874 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/69139 van Duijvenboden S, Ramírez J, Young WJ et al. (2020). Genetic Basis and Prognostic Value of Exercise QT Dynamics. nameOfConference DOI: 10.1161/circgen.119.002774 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/67014 Ntalla I, Weng L-C, Cartwright JH et al. (publicationYear). Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction. nameOfConference DOI: 10.1038/s41467-020-15706-x QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/66431 Ramírez J, van Duijvenboden S, Young WJ et al. (2020). Common Genetic Variants Modulate the Electrocardiographic Tpeak-to-Tend Interval. nameOfConference DOI: 10.1016/j.ajhg.2020.04.009 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/65500 Fung K, Biasiolli L, Hann E et al. (2019). 3.2 First Genome-Wide Association Study of Cardiovascular Magnetic Resonance Derived Aortic Distensibility Reveals 7 Loci. nameOfConference DOI: 10.2991/artres.k.191224.015 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/68668 Cabrera CP, Pazoki R, Giri A et al. (2020). Multi-trait genome-wide association analysis of blood pressure identifies 45 additional loci. nameOfConference DOI: doi QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71792 Palmieri F, Gomis P, Ferreira D et al. (publicationYear). T-Wave Morphology Changes as Surrogate for Blood Potassium Concentration in Hemodialysis Patients. 2019 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2019.109 QMRO: qmroHref Bukhari HA, Palmieri F, Ferreira D et al. (publicationYear). Transmural Ventricular Heterogeneities Play a Major Role in Determining T-Wave Morphology at Different Extracellular Potassium Levels. 2019 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2019.404 QMRO: qmroHref García-González J, Ramírez J, Howard DM et al. (publicationYear). The effects of polygenic risk for psychiatric disorders and smoking behaviour on psychotic experiences in UK Biobank. nameOfConference DOI: 10.1101/2019.12.19.19015339 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/67458 Ramírez J, van Duijvenboden S, Aung N et al. (2019). Cardiovascular Predictive Value and Genetic Basis of Ventricular Repolarization Dynamics. nameOfConference DOI: 10.1161/CIRCEP.119.007549 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/61114 Munroe PB, Ramírez J, van Duijvenboden S (2019). Resting Heart Rate and Type 2 Diabetes A Complex Relationship in Need of Greater Understanding ∗. nameOfConference DOI: 10.1016/j.jacc.2019.08.1030 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/62362 Palmieri F, Ramírez J, Laguna P et al. (2019). T-Wave Morphology Changes as Surrogate for Blood Potassium Concentration in Hemodialysis Patients. nameOfConference DOI: 10.23919/CinC49843.2019.9005904 QMRO: qmroHref Bukhari HA, Palmieri F, Ferreira D et al. (2019). Transmural Ventricular Heterogeneities Play a Major Role in Determining T-Wave Morphology at Different Extracellular Potassium Levels. nameOfConference DOI: 10.23919/CinC49843.2019.9005944 QMRO: qmroHref Fung K, Ramírez J, Warren HR et al. (publicationYear). Genome-wide association study identifies loci for arterial stiffness index in 127,121 UK Biobank participants. nameOfConference DOI: 10.1038/s41598-019-45703-0 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/58757 Ramirez J, van Duijvenboden S, Tinker A et al. (2019). 21 The cardiovascular predictive value and genetic basis of T-wave morphology. Cardiac rhythm management DOI: 10.1136/heartjnl-2019-bcs.20 QMRO: qmroHref van Duijvenboden S, Ramirez J, Orini M et al. (2019). 22 Cardiac repolarization during exercise reveals independent prognostic information for cardiovascular risk prediction. Cardiac Rhythm Management DOI: 10.1136/heartjnl-2019-bcs.21 QMRO: qmroHref Palmieri F, Burattini L, Martínez JP et al. (2018). T-Wave Morphology Restitution in Chronic Heart Failure Patient With Atrial Fibrillation. 2018 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2018.177 QMRO: qmroHref Ramirez J, Van Duijvenboden S, Laguna P et al. (2018). Assessing a Warping Methodology for the Identification of Increased Cardiovascular Risk Based on the HR Profile Morphology. Computing in Cardiology DOI: 10.22489/CinC.2018.039 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/59557 Prins BP, Mead TJ, Brody JA et al. (2018). Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. nameOfConference DOI: 10.1186/s13059-018-1457-6 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/42707 Ramírez J, Duijvenboden SV, Ntalla I et al. (publicationYear). Thirty loci identified for heart rate response to exercise and recovery implicate autonomic nervous system. nameOfConference DOI: 10.1038/s41467-018-04148-1 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/39943 Ramírez J, Orini M, Mincholé A et al. (publicationYear). Sudden cardiac death and pump failure death prediction in chronic heart failure by combining ECG and clinical markers in an integrated risk model. nameOfConference DOI: 10.1371/journal.pone.0186152 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71176 Ramírez J, Orini M, Pueyo E et al. (2017). Comparison of ECG T-Wave Duration and Morphology Restitution Markers for Sudden Cardiac Death Prediction in Chronic Heart Failure. 2017 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2017.224-267 QMRO: qmroHref Ramírez J, Orini M, Pueyo E et al. (2017). T-Wave Morphology Restitution Dependency with Heart Rate Range and its Association with Sudden Cardiac Death in Chronic Heart Failure. 2017 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2017.221-009 QMRO: qmroHref Ramírez J, Orini M, Pueyo E et al. (2018). Quantification of T-wave Morphological Variability Using Time-warping Methods. nameOfConference DOI: 10.1007/978-981-10-5122-7_120 QMRO: qmroHref Ramírez J, Orini M, Mincholé A et al. (2017). T‐Wave Morphology Restitution Predicts Sudden Cardiac Death in Patients With Chronic Heart Failure. nameOfConference DOI: 10.1161/jaha.116.005310 QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/71188 Ramirez J, Orini M, Tucker JD et al. (2017). Variability of Ventricular Repolarization Dispersion Quantified by Time-Warping the Morphology of the T-Waves. nameOfConference DOI: 10.1109/tbme.2016.2614899 QMRO: qmroHref Ramirez J, Orini M, Tucker JD et al. (publicationYear). An Index for T:wave Pointwise Amplitude Variability Quantification. 2016 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2016.016-137 QMRO: qmroHref Lenis G, Menges R, Ramirez J et al. (publicationYear). Postextrasystolic T Wave Change to Stratify Risk of Pump Failure Death in Patients with Chronic Heart Failure. 2016 Computing in Cardiology Conference (CinC) DOI: 10.22489/cinc.2016.011-402 QMRO: qmroHref Ramírez J, Monasterio V, Mincholé A et al. (2015). Automatic SVM classification of sudden cardiac death and pump failure death from autonomic and repolarization ECG markers. nameOfConference DOI: 10.1016/j.jelectrocard.2015.04.002 QMRO: qmroHref Ramírez J, Laguna P, de Luna AB et al. (2015). Erratum: QT/RR and T-peak-to-end/RR curvatures and slopes in chronic heart failure: Relation to sudden cardiac death. nameOfConference DOI: 10.1016/j.jelectrocard.2014.10.018 QMRO: qmroHref Ramírez J, Laguna P, de Luna AB et al. (2014). QT/RR and T-peak-to-end/RR curvatures and slopes in chronic heart failure: Relation to sudden cardiac death. nameOfConference DOI: 10.1016/j.jelectrocard.2014.08.013 QMRO: qmroHref Ramírez J, Cygankiewicz I, Laguna P et al. (2014). Circadian pattern and sex differences of QT/RR and T-peak-to-end/RR curvatures and slopes in chronic heart failure patients. nameOfConference DOI: doi QMRO: qmroHref Ramirez J, Minchole A, Bolea J et al. (2013). Prediction of sudden cardiac death in chronic heart failure patients by analysis of restitution dispersion. nameOfConference DOI: doi QMRO: qmroHref Ramirez J, Minchole A, Laguna P et al. (2012). Characterization of cardiac repolarization response to heart rate changes provoked by a tilt test. nameOfConference DOI: doi QMRO: qmroHref Sponsors Medical Research Council (2017-2019) European Commission (2017-2018) European Commission (2019-Present) CollaboratorsInternal Prof Steffen Petersen Dr Nay Aung Prof Patricia Munroe Dr Helen Warren Dr Claudia Cabrera Dr Eirini Marouli External Prof Pablo Laguna, University of Zaragoza, Spain Prof Esther Pueyo, University of Zaragoza, Spain Prof Juan Pablo Martínez, University of Zaragoza, Spain Dr Ana Mincholé, University of Zaragoza, Spain Prof Juhani Junttila, from University of Oulu, Finland Dr Derek Tucker, from Sandia National Laboratories, USA Prof Pier Lambiase, University College London, UK Dr Michele Orini, University College London, UK Dr Stefan van Duijvenboden, University College London, UK News https://www.eurekalert.org/pub_releases/2018-05/qmuo-ngf051718.php https://www.aninews.in/news/know-how-heart-responds-to-exercise201805180901050001/ https://www.news-medical.net/news/20180518/Researchers-discover-new-gene-locations-that-determine-hearts-response-to-exercise.aspx https://medicalresearch.com/genetic-research/genetic-factors-control-heart-rate-in-response-to-exercise/41822/ Back to top