Professor Naomi Allen
Research groups
- Accurately estimating the burden of disease using electronic health records
- An analysis of the measurement and mechanisms of health inequalities
- Hormones, growth factors and health outcomes in middle and old age: a PheWAS approach in UK Biobank
- How does obesity cause cancer? Investigating potential mechanisms by metabolomics
Websites
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UK Biobank
Senior Epidemiologist
Naomi Allen
BSc, MSc, DPhil
Professor in Epidemiology
- Clinical Trial Service Unit
Naomi Allen is a Professor in Epidemiology, based in the Clinical Trial Service Unit and Epidemiological Studies Unit. She joined UK Biobank as Senior Epidemiologist in 2011, and became Chief Scientist in 2019, where she is responsible for following-up participants both through linkage with routine health-related datasets, and through web-based questionnaires. She is also involved in developing the scientific strategy for future enhancements for the study. Her research interest is largely in the role of diet, obesity and circulating biomarkers in cancer development. She is co-Principal Investigator of the Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group, which aims to conduct individual pooled analyses of the relationship between circulating biomarkers and prostate cancer risk from cohort studies from around the world.
Recent publications
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Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank Cohort
Journal article
Wagner SK. et al, (2024), Ophthalmology Science, 4
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New role of fat-free mass in cancer risk linked with genetic predisposition.
Journal article
Harris BHL. et al, (2024), Sci Rep, 14
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Assessing the importance of primary care diagnoses in the UK Biobank.
Journal article
Clifton L. et al, (2024), Eur J Epidemiol
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Associations between unilateral amblyopia in childhood and cardiometabolic disorders in adult life: a cross-sectional and longitudinal analysis of the UK Biobank
Journal article
Wagner SK. et al, (2024), eClinicalMedicine
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Prospective study design and data analysis in UK Biobank.
Journal article
Allen NE. et al, (2024), Science translational medicine, 16