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Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases

Solve-RD consortium, Birte Zurek, Kornelia Ellwanger, Lisenka E.L.M. Vissers, Rebecca Schüle, Matthis Synofzik, Ana Töpf, Richarda M. de Voer, Steven Laurie, Leslie Matalonga, Christian Gilissen, Stephan Ossowski, Peter A.C. ’t Hoen, Antonio Vitobello, Julia M. Schulze-Hentrich, Olaf Riess, Han Brunner, Anthony J. Brookes, Ana Rath, Gisèle BonneGulcin Gumus, Alain Verloes, Nicoline Hoogerbrugge, Teresinha Evangelista, Tina Harmuth, Morris Swertz, Dylan Spalding, Alexander Hoischen, Sergi Beltran, Holm Graessner*, Tobias B. Haack, Birte Zurek, Kornelia Ellwanger, German Demidov, Marc Sturm, Christoph Kessler, Melanie Wayand, Carlo Wilke, Andreas Traschütz, Ludger Schöls, Holger Hengel, Peter Heutink, Han Brunner, Hans Scheffer, Wouter Steyaert, Karolis Sablauskas, Richarda M. de Voer, Alexander Münchau, Katja Lohmann, Rebecca Herzog, Martje Pauly

*Corresponding author for this work

Abstract

For the first time in Europe hundreds of rare disease (RD) experts team up to actively share and jointly analyse existing patient’s data. Solve-RD is a Horizon 2020-supported EU flagship project bringing together >300 clinicians, scientists, and patient representatives of 51 sites from 15 countries. Solve-RD is built upon a core group of four European Reference Networks (ERNs; ERN-ITHACA, ERN-RND, ERN-Euro NMD, ERN-GENTURIS) which annually see more than 270,000 RD patients with respective pathologies. The main ambition is to solve unsolved rare diseases for which a molecular cause is not yet known. This is achieved through an innovative clinical research environment that introduces novel ways to organise expertise and data. Two major approaches are being pursued (i) massive data re-analysis of >19,000 unsolved rare disease patients and (ii) novel combined -omics approaches. The minimum requirement to be eligible for the analysis activities is an inconclusive exome that can be shared with controlled access. The first preliminary data re-analysis has already diagnosed 255 cases form 8393 exomes/genome datasets. This unprecedented degree of collaboration focused on sharing of data and expertise shall identify many new disease genes and enable diagnosis of many so far undiagnosed patients from all over Europe.

Original languageEnglish
JournalEuropean Journal of Human Genetics
Volume29
Issue number9
Pages (from-to)1325-1331
Number of pages7
ISSN1018-4813
DOIs
Publication statusPublished - 01.09.2021

Funding

FundersFunder number
ERN Euro-NMD739547, 870177
ERN-ITHACA869189
ERN-RND739510
Horizon 2020 Framework Programme799257, 779257

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Research Areas and Centers

    • Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
    • Centers: Center for Rare Diseases (ZSE)

    DFG Research Classification Scheme

    • 2.23-06 Molecular and Cellular Neurology and Neuropathology
    • 2.23-07 Clinical Neurology, Neurosurgery and Neuroradiology

    KDSF Research Field Classification Scheme

    • 841 - Disease prevention
    • 067 Digital Economy
    • 586 - Information Systems

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