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Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases
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 countri...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440542/ https://www.ncbi.nlm.nih.gov/pubmed/34075208 http://dx.doi.org/10.1038/s41431-021-00859-0 |
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author | Zurek, Birte Ellwanger, Kornelia Vissers, Lisenka E. L. M. Schüle, Rebecca Synofzik, Matthis Töpf, Ana de Voer, Richarda M. Laurie, Steven Matalonga, Leslie Gilissen, Christian Ossowski, Stephan ’t Hoen, Peter A. C. Vitobello, Antonio Schulze-Hentrich, Julia M. Riess, Olaf Brunner, Han G. Brookes, Anthony J. Rath, Ana Bonne, Gisèle Gumus, Gulcin Verloes, Alain Hoogerbrugge, Nicoline Evangelista, Teresinha Harmuth, Tina Swertz, Morris Spalding, Dylan Hoischen, Alexander Beltran, Sergi Graessner, Holm |
author_facet | Zurek, Birte Ellwanger, Kornelia Vissers, Lisenka E. L. M. Schüle, Rebecca Synofzik, Matthis Töpf, Ana de Voer, Richarda M. Laurie, Steven Matalonga, Leslie Gilissen, Christian Ossowski, Stephan ’t Hoen, Peter A. C. Vitobello, Antonio Schulze-Hentrich, Julia M. Riess, Olaf Brunner, Han G. Brookes, Anthony J. Rath, Ana Bonne, Gisèle Gumus, Gulcin Verloes, Alain Hoogerbrugge, Nicoline Evangelista, Teresinha Harmuth, Tina Swertz, Morris Spalding, Dylan Hoischen, Alexander Beltran, Sergi Graessner, Holm |
author_sort | Zurek, Birte |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8440542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-84405422021-10-04 Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases Zurek, Birte Ellwanger, Kornelia Vissers, Lisenka E. L. M. Schüle, Rebecca Synofzik, Matthis Töpf, Ana de Voer, Richarda M. Laurie, Steven Matalonga, Leslie Gilissen, Christian Ossowski, Stephan ’t Hoen, Peter A. C. Vitobello, Antonio Schulze-Hentrich, Julia M. Riess, Olaf Brunner, Han G. Brookes, Anthony J. Rath, Ana Bonne, Gisèle Gumus, Gulcin Verloes, Alain Hoogerbrugge, Nicoline Evangelista, Teresinha Harmuth, Tina Swertz, Morris Spalding, Dylan Hoischen, Alexander Beltran, Sergi Graessner, Holm Eur J Hum Genet Viewpoint 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. Springer International Publishing 2021-06-01 2021-09 /pmc/articles/PMC8440542/ /pubmed/34075208 http://dx.doi.org/10.1038/s41431-021-00859-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Viewpoint Zurek, Birte Ellwanger, Kornelia Vissers, Lisenka E. L. M. Schüle, Rebecca Synofzik, Matthis Töpf, Ana de Voer, Richarda M. Laurie, Steven Matalonga, Leslie Gilissen, Christian Ossowski, Stephan ’t Hoen, Peter A. C. Vitobello, Antonio Schulze-Hentrich, Julia M. Riess, Olaf Brunner, Han G. Brookes, Anthony J. Rath, Ana Bonne, Gisèle Gumus, Gulcin Verloes, Alain Hoogerbrugge, Nicoline Evangelista, Teresinha Harmuth, Tina Swertz, Morris Spalding, Dylan Hoischen, Alexander Beltran, Sergi Graessner, Holm Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases |
title | Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases |
title_full | Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases |
title_fullStr | Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases |
title_full_unstemmed | Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases |
title_short | Solve-RD: systematic pan-European data sharing and collaborative analysis to solve rare diseases |
title_sort | solve-rd: systematic pan-european data sharing and collaborative analysis to solve rare diseases |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440542/ https://www.ncbi.nlm.nih.gov/pubmed/34075208 http://dx.doi.org/10.1038/s41431-021-00859-0 |
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