Diabetes Medical Informatics and Epidemiology Research Theme: Epidemiology & Clinical Trials Professor Helen Colhoun AXA Chair in Medical Informatics and Life Course Epidemiology & Honorary Consultant in Public Health at Public Health Scotland Contact details Email: Helen.Colhoun@ed.ac.uk Contact General enquiries Administrative group contact: Andrew Wilson awilso39@ed.ac.uk SDRNT1BIO participants and collaborators Please, get in touch with the following email address: SDRNT1BIO@ed.ac.uk or see Scottish Diabetes Research Network Type 1 Bioresource | Scottish Diabetes Research Network Type 1 Bioresource (SDRNT1BIO) GATEGene Targets Please email info@gategenetargets.com or see GATEGene Targets — Genetic drug target discovery National Diabetes Research Platform Please email sdrn-epi@ed.ac.uk Research in a Nutshell The Colhoun group research programme encompasses:Drug target discovery using genetic and proteomic datasets – see gategenetargets Studies of the epidemiology and genetic and non-genetic determinants of type 1 diabetes and its complications in large scale datasets Real-world pharmacoepidemiology studies of drugs used in diabetes Epidemiological studies of diabetes and its complications in the Scottish population to inform preventive policiesDesign and coordination of large-scale clinical trials with industrial partnersThe group has generated and manages large scale data resources from the Scottish population with diabetes including the Scottish Diabetes Research Network Type 1 Bioresource and the National Diabetes Research Platform. Research Programme People NameRole Helen ColhounLeading Professor of the Helen Colhoun Research GroupPaul McKeigueProfessor of Statistical Genetics, Centre for Population Health Sciences, University of EdinburghStuart McGurnaghanSenior Software Developer and Data AnalystLuke BlackbournSoftware and Database AnalystJoe MellorMachine Learning Specialist, based at the Centre for Population Health Sciences, University of EdinburghWilliam BerthonBiostatistician / Epidemiologist / Health Data ScientistAndrew WilsonResearch Coordinator and Personal Assistant to Professor Helen ColhounAndrii IakovlievMRC Cross-Disciplinary Postdoctoral Fellow (XDF)Svitlana BraichenkoMRC Cross-Disciplinary Postdoctoral Fellow (XDF)Xuan ZhouPostdoctoral Researcher Affiliates NameRole Athina SpiliopoulouChancellor’s Fellow in Data-Driven Innovation at the Usher Institute for Population Health Sciences and Informatics, University of EdinburghJay DyerResearch Fellow (Biostatistician/Machine Learning Scientist), Usher InstituteRebecca KerriganPhD student Key Publications Helen Colhoun Orcid Profile Research Advisory Panel- DMI&E Group The Diabetes Medical Informatics and Epidemiology (DMI&E) research group organises 3-4 meetings of their internal Research Advisory Panel per year, lasting around 1-2 hours each. These meetings are completed either in-person or virtually, to fit in around the panel’s existing commitments/schedule.The purpose of the meetings is to:discuss our wider research strategy, upcoming opportunities, individual studies based on current patient interests/prioritiesreview proposed individual study methodology and wider dissemination strategyprovide feedback/letter of support for upcoming grant applications and press releasesEach member of our panel is remunerated for their time and participation in each meeting in accordance with National Institute for Health and Social Care Research (NIHR) guidelines, along with reimbursement of any necessary expenses incurred through participation in our panel meetings.No experience is necessary to join- we endeavour to provide available training to anyone interested in knowing more about their role and it's importance to the conduct of research as part of a panel such as this one.For any informal enquires about our Research Advisory Panel, please email the Research Coordinator at awilso39@ed.ac.uk Partners and Funders AXA Research FundJDRFDiabetes UKEU Commission: Innovative Medicines InitiativeIQVIAMedical Research CouncilNovo NordiskScottish Government Scientific Themes Drug target identification, Prediction modelling, Disease Stratification, Artificial Intelligence, Epidemiology, Type 1 Diabetes, Type 2 Diabetes, Diabetes Complications Archive This article was published on Monday 23 September 2024