Professor Cornelia Marja van Duijn
Cornelia Marja van Duijn
Professor of Epidemiology, Nuffield Department of Population Health
Cornelia M van Duijn is Professor of Epidemiology at Nuffield Department of Population Health (NDPH) and Fellow of St Cross College, Oxford. Her group is based at the Oxford Big Data Institute where she integrates large-scale (epi)genetic, transcriptomic, proteomic, metabolomic and microbiome data of epidemiological cohorts with that of brain imaging and cellular models. This involves novel approaches to analyse high-dimensional big data as well as the translation of classical epidemiological design and analysis strategies to functional research in cellular and organ-on-chip models.
Cornelia’s research focuses on brain and ocular diseases such as Alzheimer disease and glaucoma but her interest spans systemic vascular, endocrine and gastrointestinal pathology relevant for brain and ocular function. Her group is exploring new –omics frontiers of etiologic and translational genetic-epidemiologic research with mission to advance population health. This involves repurposing studies of life style and therapeutic interventions by enriching stored samples with genomics, proteomics and metabolomics as instruments to understand human gene-exposome interactions that determine brain and ocular health.
Her research portfolio further includes proteomic and metabolomics studies as key intermediate players linking the human genome and microbiome to brain and ocular health and as targets towards new avenues for disease prevention.
Genome-wide Association Study of Change in Fasting Glucose over time in 13,807 non-diabetic European Ancestry Individuals.
Liu C-T. et al, (2019), Scientific reports, 9
Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology.
Spracklen CN. et al, (2019), American journal of human genetics, 105, 15 - 28
An integrative cross-omics analysis of DNA methylation sites of glucose and insulin homeostasis.
Liu J. et al, (2019), Nature communications, 10
Linkage analysis and whole exome sequencing identify a novel candidate gene in a Dutch multiple sclerosis family.
Mescheriakova JY. et al, (2019), Multiple sclerosis (Houndmills, Basingstoke, England), 25, 909 - 917
Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits.
van Setten J. et al, (2019), European journal of human genetics : EJHG, 27, 952 - 962