Catherine Sudlow
Personal Chair of Neurology and Clinical Epidemiology

- Usher Institute
- Centre for Clinical Brain Sciences
- Centre for Genomic and Experimental Medicine
Contact details
Address
- Street
-
Nine Edinburgh BioQuarter
9 Little France Road - City
- Edinburgh
- Post code
- EH16 4UX
Background
Cathie Sudlow graduated in medicine from the Universities of Cambridge and Oxford, with postgraduate training in medicine and neurology in Oxford, Plymouth, Worthing and Edinburgh. She obtained her MSc in Epidemiology (London School of Hygiene and Tropical Medicine) in 1997 and DPhil (University of Oxford) in 2000. From 2000, she has been based at the University of Edinburgh, becoming Chair of Neurology and Clinical Epidemiology in 2013. In January 2020, she became inaugural Director of the British Heart Foundation Data Science Centre, which is embedded in Health Data Research UK and aims to improve the public’s cardiovascular health through the power of large-scale data and advanced analytics across the UK and beyond.
Previously Cathie was Director of the Centre for Medical Informatics at the Usher Institute and the first Research Director for HDR UK in Scotland. From 2011-2019, she was Chief Scientist of UK Biobank, a large-scale research resource, with in-depth genetic and health information from half a million UK adults, accessible to approved researchers worldwide, studying a wide range of common, rare and life-threatening health conditions.
Cathie is a clinical neurologist and epidemiologist. Her clinical work involves assessing and treating patients with suspected acute stroke in the hospital emergency department.
Her research interests are firmly embedded in the world of big data, in particular large-scale, collaborative, open-science initiatives to understand the causes (genetic, environment and lifestyle), consequences of, and best treatments for common diseases of middle and older age. These have included initiatives to establish the role of antithrombotic drugs in preventing heart disease and stroke, to investigate differences between stroke subtypes, and to discover genes that influence stroke. From 2011, she led efforts follow the health of UK Biobank participants through linkage to national health datasets, and during 2020-2021 worked with NHS Digital to develop the first trusted research environment to hold and enable access for research to linked health data for the whole population of England.
She was elected as a fellow of the Royal Society of Edinburgh in 2018 and awarded an OBE for services to medical research in the Queen’s Birthday Honours in 2020.
Research summary
My group’s main interests are in classical and genetic epidemiological approaches to understanding different subtypes of stroke, and - through my involvement with UK Biobank and collaboration with other very large cohorts (including Million Women Study and China Kadoorie Biobank) - large scale prospective observational epidemiology. Our work will evolve over the years ahead to encompass prospective studies of neurodegenerative disorders as well as of stroke and related phenotypes.
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Indirect effects of the pandemic: highlighting the need for data-driven policy and preparedness
In:
Journal of the Royal Society of Medicine, pp. 1410768221095245
DOI: https://doi.org/10.1177/01410768221095245
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Predicting and validating the impact of the COVID-19 pandemic in individuals with chronic kidney disease
In:
Kidney International
Research output: Contribution to Journal › Article (Accepted/In press) -
Systematic Review of Cerebral Phenotypes Associated with Monogenic Cerebral Small Vessel Disease
In:
Journal of the American Heart Association Cardiovascular and Cerebrovascular Disease
Research output: Contribution to Journal › Article (Accepted/In press) -
Reproducible disease phenotyping at scale: Example of coronary artery disease in UK Biobank
In:
PLoS ONE
DOI: https://doi.org/10.1371/journal.pone.0264828
Research output: Contribution to Journal › Article (Published) -
Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort
In:
Heart
DOI: https://doi.org/10.1136/heartjnl-2021-320325
Research output: Contribution to Journal › Article (Published)