Professor Naomi Allen
- Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer
- Hormonal Factors in Breast Cancer
- 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
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.
Association between Coeliac disease and Cardiovascular Disease: A prospective analysis in UK Biobank
CONROY M. et al, (2023), BMJ Medicine
UK Biobank: a globally important resource for cancer research.
Conroy MC. et al, (2022), Br J Cancer
How UK Biobank is democratising access to large-scale genomic and phenotypic data for discovery science
LACEY B. et al, (2022)
Circulating free testosterone and risk of aggressive prostate cancer: Prospective and Mendelian randomisation analyses in international consortia.
Watts EL. et al, (2022), Int J Cancer, 151, 1033 - 1046
Cigarette Smoking and Endometrial Cancer Risk: Observational and Mendelian Randomization Analyses.
Dimou N. et al, (2022), Cancer Epidemiol Biomarkers Prev, 31, 1839 - 1848