It is now possible to collect a large amount of data from individual patients, including genetic and other molecular data. This provides us with an opportunity to improve our understanding of diseases, to diagnose patients more accurately, and to predict the course of a patient’s disease. One aim of precision medicine is to identify groups of patients who will respond similarly to treatments and/or whose medical condition(s) will follow a similar course. The existence of such patient subgroups can be suggestive of there being multiple distinct processes that can result in disease. To understand this variability across patients requires the development and application of statistical analysis methods that can make use of different types of patient information, and then assess the confidence we can have in the conclusions drawn from these diverse data sources. By developing and applying these statistical techniques to molecular (and other) datasets, we hope to increase our understanding of the molecular basis for different diseases, and to improve the ability of clinical practitioners to effectively treat patients.

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.