Big life-course data analytics for understanding disease initiation and progression in diabetes and its complications

Søren Brunak, University of Copenhagen
Grant amount: DKK 60,000,000

The project uses big data thinking to study all diseases at once, and especially in which order hundreds of diseases occur in a lifelong perspective. This includes large quantities of data from healthy individuals, such as from blood donors in Denmark and abroad who have consented to their data being analysed. The project focuses especially on diabetes and on understanding the transition from health to disease and the many alternative patient pathways that can lead to diabetes. The research will contribute to creating a knowledge base for new types of personal treatment and, in purely technical terms. will also create new more secure frameworks for storing health data and data analysis. The infrastructure may then be used at hospitals to improve the treatment of individual patients.

Project participants
Søren Brunak, Professor
University of Copenhagen, Novo Nordisk Foundation Center for Protein Research

Henrik Ullum, Professor
Rigshospitalet, Department of Clinical Medicine

Laust Hvas Mortensen, Associate Professor
University of Copenhagen, Department of Public Health

Ewan Birney, Director
European Bioinformatics Institute