Biobanks and data repositories
Our biobanks, which store blood, serum and DNA, are an important resource for medical science and research including genetic research. While individual samples are never examined in detail, access to a large number of samples enables us to observe common features which can help us to prevent and treat diabetes and associated co-morbidities.
Data repositories store demographic and clinical information which allows us to observe trends over time or track different clinical factors. Again, while individual details are not examined, having access to information from many people allows us to observe common features which may help improve treatment.
Some of the discoveries we have made using our biobanks and data repositories include:
- Type 1 Diabetes can be grouped into six different disease sub-types which appear to be associated with particular co-morbidities and genders. This information could help determine which individuals might be vulnerable to a particular co-morbidity, such as hypertension, and target their treatment accordingly.
- Diagnosis of Type 1 Diabetes appears to move in a five-year cycle so that rates of diagnosis peak every five years. Scientists are still researching why this cycle occurs.