Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
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
_version_ 1783752698251706368
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
work_keys_str_mv AT zurekbirte solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT ellwangerkornelia solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT visserslisenkaelm solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT schulerebecca solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT synofzikmatthis solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT topfana solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT devoerrichardam solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT lauriesteven solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT matalongaleslie solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT gilissenchristian solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT ossowskistephan solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT thoenpeterac solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT vitobelloantonio solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT schulzehentrichjuliam solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT riessolaf solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT brunnerhang solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT brookesanthonyj solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT rathana solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT bonnegisele solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT gumusgulcin solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT verloesalain solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT hoogerbruggenicoline solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT evangelistateresinha solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT harmuthtina solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT swertzmorris solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT spaldingdylan solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT hoischenalexander solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT beltransergi solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT graessnerholm solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases
AT solverdsystematicpaneuropeandatasharingandcollaborativeanalysistosolverarediseases