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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

*Korrespondierende/r Autor/-in für diese Arbeit

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.

OriginalspracheEnglisch
ZeitschriftEuropean Journal of Human Genetics
Jahrgang29
Ausgabenummer9
Seiten (von - bis)1325-1331
Seitenumfang7
ISSN1018-4813
DOIs
PublikationsstatusVeröffentlicht - 01.09.2021

Fördermittel

Acknowledgements The Solve-RD project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779257. This research is supported (not financially) by four ERNs: (1) The ERN for Intellectual Disability, Telehealth and Congenital Anomalies (ERN-ITHACA)—Project ID No 869189; (2) The ERN on Rare Neurological Diseases (ERN-RND)—Project ID No 739510; (3) The ERN for Neuromuscular Diseases (ERN Euro-NMD)—Project ID No 870177; (4) The ERN on Genetic Tumour Risk Syndromes (ERN GENTURIS)— Project ID No 739547. The ERNs are co-funded by the European Union within the framework of the Third Health Programme.

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

    UN SDGs

    Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

    1. SDG 3 – Gesundheit und Wohlergehen
      SDG 3 – Gesundheit und Wohlergehen

    Strategische Forschungsbereiche und Zentren

    • Forschungsschwerpunkt: Gehirn, Hormone, Verhalten - Center for Brain, Behavior and Metabolism (CBBM)
    • Zentren: Zentrum für Seltene Erkrankungen (ZSE)

    DFG-Fachsystematik

    • 2.23-06 Molekulare und zelluläre Neurologie und Neuropathologie
    • 2.23-07 Klinische Neurologie, Neurochirurgie und Neuroradiologie

    KDSF-Klassifikation für Forschungsfelder

    • 841 - Prävention von Krankheiten
    • 067 Digitale Wirtschaft
    • 586 - Informationssysteme

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