The lack of simple definition in complex rheumatic diseases presents an obstacle investigating their genetic basis. The aim of the project is to develop maximally informative approaches to the analysis of non-normal and multivariate data to detect the action of specific genes in data on complex rheumatic disease.
The project will focus on the development of methods that simultaneously analyse detailed data on osteoarthritis, osteoporosis and other diseases of ageing collected on over 3,000 twin pairs together with genotype information. It will examine genetically informative clusters through a combination of simulated and real data approaches. The project will draw on data mining and computing resources at UEA and on the specialist statistical expertise of the Twin Research Unit, St Thomas' Hospital in London. The successful applicant will be registered in the School of Computing Sciences, UEA Norwich, England.
Mr Qiao Li, Dr. George Smith, Prof, Alex McGregor