Untangling type 2 diabetes and depression

The prevalence of both type 2 diabetes and depression are increasing globally.

Previous research has demonstrated evidence that diagnosis with both conditions leads to poorer diabetes control and an increased likelihood of developing treatment resistant depression. However, the relationship between them remains complex with many unanswered questions.

The aim of our research is to use global big datasets and genetic analyses in 10,000s of individuals to establish a more complete understanding of this relationship.

Our overall aim will be achieved by addressing related questions: Is there a bidirectional causal relationship between depression and diabetes? Does obesity and/or other modifiable risk factors mediate the depression and diabetes relationship? What are the consequences of having both depression and diabetes?

Are findings consistent in diverse datasets? We will use statistical genetic approaches, including Mendelian randomisation, to address these questions.

This project will provide important information about the complex relationship between depression and diabetes, thereby informing global decisions on medical management and public health strategies for both conditions.