The RHAPSODY Consortium

Leading European experts from 20 academic institutions, 5 EFPIA (European Federation of Pharmaceutical Industries and Associations) pharmaceutical organizations and two SMEs officially launched the Innovative Medicines Initiative (IMI) project RHAPSODY. IMI is a unique Public Private Partnership between the pharmaceutical industry (represented by the EFPIA) and the European Union. The RHAPSODY project receives funding of more than EUR 18 million through the IMI2 programme, which includes an EC contribution of around EUR 8 million, matching the dedicated resources provided by participating pharma companies, as well as funding from the Swiss Sate Secretariat for Education, Research and Innovation (SERI).

“We are delighted to have formed such a strong consortium to meet these ambitious goals. It is RHAPSODY’s ambition to fully characterize novel biomarkers for assessing the progression of pre-diabetes to diabetes and the rapid progression of overt T2D. Biomarker identification, characterization and development for use in clinical and pharmacological applications will be guided by the requirement for their validation by the European Medical Agency and for coherence with cost-benefits assessment. Therefore, we reach out to representatives of regulatory agencies and patient associations to participate in this project from its beginning. This will ensure that the discovery process of RHAPSODY will minimize the time between biomarker identification and clinical use and will allow thorough evaluation of the benefit for patients.”
A. Ktorza (Project Leader; Servier)
B. Thorens (Coordinator, University of Lausanne)
L. Groop (Co-Coordinator; Lund University)
RHAPSODY is a unique collaboration of leading public and private research groups, which includes over 100 researchers operating in 7 different scientific work packages. RHAPSODY is based on the availability of large population prospective cohorts, with unique collection of genetic, biochemical and clinical data. RHAPSODY also benefits from extensive and unique resources developed in previous IMI projects. Combining new and existing data with the expertise of its partners, RHAPSODY develops novel biomarkers to refine diagnosis, leading to better patient stratification and with the aim of promoting diabetes prevention and supporting innovative drug discovery for personalized management of diabetes.
The RHAPSODY team is coordinated by the University of Lausanne, Servier and Lund University and is working on a new definition of the molecular taxonomy of T2D diabetes that will support patient segmentation, inform clinical trial design, and enable the establishment of regulatory paths for the adoption of novel strategies for diabetes prevention and treatment.

To address these goals, RHAPSODY brings together leading European experts, to identify, and characterize causal biomarkers for T2D subtypes and progression. Our plans are built upon:
Federated database
Access to large European cohorts with comprehensive genetic analyses and rich longitudinal clinical and biochemical data and samples.
Detailed multi-omic maps of key type 2 diabetes-relevant tissues and organs.
Extensive expertise in the development and use of novel genetic, epigenetic, biochemical and physiological experimental approaches.
Beta-cells and insulin target tissue biomarkers
The ability to combine existing and novel data sets through effective data federation and use of these datasets in systems biology approaches towards precision medicine.
Legal and economics
Expertise in regulatory approval, health economics and patient engagement. These activities will lead to the discovery of novel biomarkers for improved type 2 diabetes taxonomy, to support development of pharmaceutical activities, and for use in precision medicine to improve health in Europe and worldwide.
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This project receives funding from the Innovative Medicines Initiative 2 Joint Undertaking ( under grant agreement No 115881. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.

This work is supported by the Swiss State Secretariat for Education‚ Research and Innovation (SERI) under contract number 16.0097-2.

The opinions expressed and arguments employed herein do not necessarily reflect the official views of these funding bodies.