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CCU022: Genomics of multimorbidity and CVD associated with susceptibility to COVID-19 infection and complications
Safe People
Organisation name
University of Cambridge
Organisation sector
Academic Institute
Applicant name(s)
Michael Inouye
Funders/ Sponsors
Sub-licence arrangements (if any)?
No
Safe Projects
Project ID
CCU022
Lay summary
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a new virus responsible for the COVID-19 pandemic, which has caused many deaths worldwide. We are worried that some long-term (“chronic”) diseases, such as heart disease and diabetes, can worsen COVID-19 infection and lead to increased risk of death. Also, these diseases often occur together in groups, and a person can have multiple diseases. When this happens, we call this “multimorbidity”. However we do not fully understand why this happens, nor how they may be linked to COVID-19. We therefore wish to study electronic health records (EHR) from hospitals and doctor’s clinics, as well as large-scale electronic databases of genetic and biological data, that cover people from a broad range of social and ethnic backgrounds from across the UK. Our team has expertise in using advanced computer-assisted techniques that can effectively make sense of such complex data, to find patterns and results beyond what is possible with traditional methods. Ultimately, we aim to identify groups of individuals with cardiovascular-related multimorbidities and assess their response to COVID-19 infection, and explore how genetic, biological, and social factors interact to change this response. Our results may help us better identify people who are at greatest risk of disease, and find new possibilities to treat or prevent the disease.
Public benefit statement
Ultimately, we aim to identify groups of individuals with cardiovascular-related multimorbidities and assess their response to COVID-19 infection, and explore how genetic, biological, and social factors interact to change this response. Our results may help us better identify people who are at greatest risk of disease, and find new possibilities to treat or prevent the disease. Visit the BHF Data Science Centre website for more detailed information about project outputs. https://bhfdatasciencecentre.org/projects/ccu022/
Technical summary
This project accessed the following datasets within the Trusted Research Environment(s) for CVD-COVID-UK / COVID-IMPACT: - ENGLAND: - Civil Registration - Deaths - COVID-19 SARI-Watch (formerly CHESS) - Covid-19 Second Generation Surveillance System - Covid-19 UK Non-hospital Antibody Testing Results - Covid-19 UK Non-hospital Antigen Testing Results - COVID-19 Vaccination Adverse Reaction - COVID-19 Vaccination Status - GPES Data for Pandemic Planning and Research (COVID-19) - Hospital Episode Statistics Accident and Emergency - Hospital Episode Statistics Admitted Patient Care - Hospital Episode Statistics Critical Care - Hospital Episode Statistics Outpatients - ICNARC: Intensive Care National Audit and Research Centre - Medicines dispensed in Primary Care (NHSBSA data) - NICOR – MINAP: Myocardial Ischaemia National Audit Project - NICOR – NACRM: National Audit of Cardiac Rhythm Management - NICOR – NACSA: National Adult Cardiac Surgery Audit - NICOR – NCHDA: National Congenital Heart Disease Audit - NICOR – NHFA: National Heart Failure Audit - NICOR – PCI: Percutaneous Coronary Interventions - NICOR – TAVI: Transcatheter Aortic Valve Implantation - Secondary Care Prescribed Medicines (EPMA) - Secondary Uses Services Payment By Results - Sentinel Stroke National Audit Programme Clinical Dataset
Other approval committees
Latest approval date
27/05/2021
Safe Data
Dataset(s) name
Data sensitivity level
De-Personalised
Safe Setting
Access type
TRE