MaGDA-2: Risk prediction and follow-up for prevention of pregnancy complications and type 2 diabetes

• 
  Prof Dougie Boyle

  dboyle@unimelb.edu.au
  

Project Details

MaGDA-2 builds on the original MaGDA project (Mothers after Gestational Diabetes in Australia). Using the University of Melbourne’s GRHANITE® research data extraction tool, we are creating a linked set of de-identified data from multiple sources to understand how mothers at risk of developing diabetes (after gestational diabetes) can be identified. We aim to identify risk factors and develop and validate a risk prediction model related to the progression of gestational diabetes to type 2 diabetes. This project works towards enabling implementation of a ‘personalised medicine meets population health’ approach to gestational and type 2 diabetes.

Researchers

• Prof Douglas Boyle, Data Lead
• Ms Christine Chidgey, Data analyst

Collaborators

• A/Prof Vincent Versace, Lead Investigator, Deakin University
• Prof Edward Janus, The University of Melbourne
• Prof James Dunbar, Deakin University
• Prof Jane Speight, Deakin University
• Prof Helena Teede, Monash University
• A/Prof Jaqueline Boyle, Monash University
• Prof Brett Sutton, Department of Health Victoria
• Prof Alex Brown, South Australian Health and Medical Research Institute
• Prof Nicola Spurrier, SA Health
• Diabetes Australia

Funding

NHMRC partnership grant, Australian Government Department of Health, Diabetes Australia Research Limited, Monash Health, and in-kind funding from South Australia Health