Large-scale data integration to advance mechanistic inference and precision medicine in type 2 diabetes


  • Prof Mark McCarthy

    University of Oxford

Project summary

Why are some people more likely to get type 2 diabetes (T2D) than others? Why do some people with diabetes develop complications despite having similarly effective treatment as others who do not? Why do some respond better to certain treatments than others? Despite the impact of T2D on health and society we remain poorly-equipped to answer these questions.

Person-to-person variation in the risk of T2D, its presentation and clinical course, may be best understood in terms of the processes that contribute to the development of the disease, such as obesity and pancreatic islet function. We will define those processes and develop genetic and non-genetic ways of measuring them. 

We will evaluate the use of this information to provide more accurate, personalised ways of preventing and treating T2D.