Iona Millwood
DPhil
Senior Epidemiologist; University Research Lecturer
Iona Millwood completed an undergraduate degree in Natural Sciences at the University of Cambridge and a DPhil in Molecular Genetics at the University of Oxford. She worked as a postdoctoral research associate at Imperial College London, on large-scale genetic epidemiological projects including the Northern Finland Birth Cohorts, and also spent several years as a Lecturer at the University of New South Wales, Australia, developing and conducting clinical trials for biomedical methods of HIV prevention in Australia and South-East Asia.
Iona joined the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU) in 2009, to work on the China Kadoorie Biobank (CKB), including designing and conducting genomic and multi-omic assays to enhance and develop the CKB resources. Current research interests focus on using genetic and molecular epidemiology to understand the aetiology of cardio-metabolic and other chronic diseases, using genetic approaches to identify and evaluate potential drug targets, and investigating the role of infection in cancer risk, and the health effects of alcohol consumption. Iona co-leads a Genetic Epidemiology module for the MSc in Global Health Science and Epidemiology.
Recent publications
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Proteomic analyses in diverse populations improved risk prediction and identified new drug targets for type 2 diabetes
Journal article
YAO P. et al, (2024), Diabetes Care
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A genome-wide association study based on the China Kadoorie Biobank identifies genetic associations between snoring and cardiometabolic traits
Journal article
CHEN Z. et al, (2024), Communications Biology
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Causal association between snoring and stroke: a Mendelian randomization study in a Chinese population.
Journal article
Zhu Y. et al, (2024), Lancet Reg Health West Pac, 44
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Association between health insurance cost-sharing and choice of hospital tier for cardiovascular diseases in China: a prospective cohort study
Journal article
Levy M. et al, (2024), The Lancet Regional Health. Western Pacific
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Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.
Journal article
Meng X. et al, (2024), Nat Genet