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

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.



  • 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


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

Research Group

Health Data Science for Medical Research

Key Contact

For further information about this research, please contact the research group leader.

Department / Centre

General Practice and Primary Care

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