Solve-RD is about to establish a European Rare Disease Models & Mechanisms Network (RDMM-Europe) using the successful Canadian blueprint as a role model.
The goal of RDMM-Europe is to link clinicians discovering new genes in patients with rare diseases with basic scientists, who can functionally analyze equivalent genes and pathways in model organisms. Solve-RD will provide 50 Seeding Grants (20,000 EUR each) to fund projects that will allow rapid confirmation of potentially disease-causing genes and elucidation of the underlying molecular disease mechanisms.
The RDMM-Europe registry has now been implemented. European model organism investigators are encouraged to register in the RDMM-Europe registry and enter the genes/pathways they are working on for the respective model organism(s). Registration will express an interest in linking to clinicians representing patients with rare diseases and collaborating in projects funded by Solve-RD.
The Solve-RD Scientific Advisory Committee will use the registry database to determine which scientists are doing work relevant to human disease genes newly identified in the project. Registrants who meet the criteria for a given gene will be invited to apply for a Seeding Grant.
Solve-RD beneficiaries and associated partners will be able to submit a Connection Application to the Solve-RD Clinical Advisory Committee to functionally validate a newly discovered disease gene. We will inform our partners as soon as this is possible.
Further information can be found here.
The Solve-RD Publication Policy is now available for download from our website. It provides detailed information about authors' responsibilities with regard to publication of shared data and data resulting from the Solve-RD project. It also explaines how to acknowledge Solve-RD funding, use of the RD-Connect Genome-Phenome Analysis Platform and ERN involvement.
All public project documents are available here.
From 7-8 February 2019 the Solve-RD Annual Meeting 2019 took place in Nijmegen, the Netherlands, hosted by our Partner Radboud UMC. More than 100 participants from Solve-RD partners, associated ERNs and Undiagnosed Disease Networks attended the meeting.
The meeting was a great success! The first day focussed on what has been achieved in the first year whereas the second day was a working day with meetings of different working groups and the four core ERNs (ERN-GENTURIS, -ITHACA, EURO-NMD, and -RND) to discuss and organise the next steps. In addition, workshops on the re-analysis of phenotypes (led by the INSERM-Orphanet team) and on data analysis in GPAP (led by Steve Laurie from CNAG-CRG) have been given.
New publication by Rachel Thompson et al on the treatments available for the congenital myasthenic syndromes (CMS) and the development of a “treatabolome” to improve the accessibility of information on treatable rare diseases is now available online.
In this publication Thompson et al look into ways we can improve access to the important information that a particular disease has a treatment available. Most rare genetic diseases do not currently have curative gene-based therapies available, but in some cases a particular drug or intervention can have a significant effect on disease course and functional ability. Ideally, this information would be immediately accessible to the clinician treating the patient at the time of diagnosis, but too often this is not the case and the details can only be discovered after more extensive literature study or expert referral, meaning that for many patients there is a delay before they are put on the optimal therapy. The question is further complicated by the fact that some treatments are only effective for certain genetic causes, even when the overall phenotypic presentation is very similar.
In Solve-RD, disease experts from different European Reference Networks will perform similar reviews of the evidence and bioinformaticians from the Centro Nacional de Análisis Genómico (CNAG-CRG) in Barcelona will make them accessible in database form for incorporation into genomic analysis platforms such as RD-Connect.
More infos from the Lochmüller lab can be found here.
Solve-RD aims to find a diagnosis for rare disease patients who did not get a molecular diagnosis so far. We will compare the potential of different -omics technologies regarding their contribution to solve the pathogenicity in different patient cohorts, reaching from neurodevelopmental to late onset diseases including diagnostic specialties like cancer. The clinical expertise of numerous European Reference Networks (ERNs) is integrated by clinically well selected patient cohorts. This FACT SHEET gives an overview of the four Solve-RD cohorts of rare disease patients which have been defined.
Invitation to attend the 2nd INFRAFRONTIER / IMPC Stakeholder Meeting: Advancing Rare Disease Research and Gene Therapy Applications with Animal Models
December 3rd-4th 2018, Hilton Park Hotel, Munich, Germany
Further information can be found here: Program details | Registration
The meeting is free of charge including accommodation, you just have to come to Munich.
The CNAG-CRG is looking for a Communications and Data Helpdesk Coordinator to join the Solve-RD H2020 project. Solve-RD aims to solve a large number of undiagnosed rare disease cases through combined Omics approaches, using the RD-Connect Genome-Phenome Analysis Platform (GPAP; platform.rd-connect.eu) as one of the key infrastructures. Main tasks for the candidate will be to provide a comprehensive professional support and external helpdesk service for the Solve-RD users of the RD-Connect platform, including, but not restricted to, registration, data submissions, data monitoring, assistance, training, communication, dissemination and reporting.
See job posting here.
Within the EU-H2020 Solve-RD project “Solving the unsolved Rare Diseases” a medical research assistant position is available in the team of Gisèle Bonne at the Centre of Research in Myology, Sorbonne Université-Inserm UMRS974, Institut de Myologie Groupe Hospitalier Pitié‐Salpêtrière, Paris, France.
The candidate will be in charge of setting up a database of currently known “treatable genes” and associated treatment strategies for Rare Diseases, i.e. Treatabolome, by literature review and data-mining approaches with curation by expert clinicians.
See job posting here.
