Arthritis and excess risk of cardiovascular disease
Project Reference: NDPH/MT16/031
Arthritis is one of the leading causes of disability worldwide, with adverse effects on the quality of life. The sub-types of arthritis (osteoarthritis, rheumatoid arthritis and gout) differ in their clinical presentation and disease course, but all are associated with higher risks of cardiovascular disease (CVD). Despite distinctive features, all types of arthritis have some evidence of systemic inflammation and metabolic syndrome like abnormalities. This project will use data on 1 million people, including 0.5M from the China Kadoorie Biobank (CKB) study and 0.5M the UK-Biobank study (UKB) in China and UK, respectively. The aims of this project are (i) to compare the age and sex-specific incidence of the different types of arthritis in China and the UK; (ii) to examine the excess risks of CVD associated with different sub-types of arthritis; (iii) to assess differences in mean levels of the clinical markers of health and plasma biomarkers measured in stored blood in people who subsequently develop arthritis with and without CVD. The study should be informative about the role of inflammation in both arthritis and in CVD. http://www.ckbiobank.org/; http://www.ukbiobank.ac.uk/
Research Experience, Research Methods and Training
The student will work within a multidisciplinary team which includes statisticians, epidemiologists and biomedical scientists. He/she will gain experience in the statistical analysis and handling of large-scale data, interpretation and dissemination of results.
Field Work, Secondments, Industry Placements and Training
There will be training opportunities in statistical programming and other courses provided by the Department and the University of Oxford, as well as other scientific meetings and conferences.
Candidates should have a degree in statistics, mathematics, or similar subject (MSc or equivalent desirable), with an interest in medical research, or alternatively a degree in medicine with a strong interest and some experience in statistics.