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Active H2020 European Commission

Shortening the path to rare disease diagnosis by using newborn genetic screening and digital technologies

€26.25M EUR

Funder European Commission
Recipient Organization Universita Degli Studi Di Ferrara
Country Italy
Start Date Oct 01, 2021
End Date Sep 30, 2026
Duration 1,825 days
Number of Grantees 41
Roles Participant; Coordinator
Data Source European Commission
Grant ID 101034427
Grant Description

In the EU alone, according to the Orphanet DB (https://pubmed.ncbi.nlm.nih.gov/31527858/), 30 million persons, 3,5-6% of the general population, are affected by one of the 6,172 different rare diseases (RDs) of which 72% are genetic and 70% affect children. The path to diagnosis for people suffering from a RD is burdensome, often severely delayed by a diagnostic odyssey.

Lack of timely diagnosis affects disease management, family planning, identification of potential beneficial treatments and / or clinical trials.

This unacceptable situation does not meet the concept of equity for EU citizens, and requires rapid, structured, and cost-effective corrective actions.

The Screen4Care (S4C) consortium will leverage the genomic and digital advent to develop and pilot genetic NBS and AI-guided symptom recognition algorithms, while accounting for all relevant legal, regulatory and ethical considerations.

S4C aims to harmonize the results of existing efforts in a horizon scan, by looking at the totality of the available data resources, diagnostic algorithms, and other initiatives with similar ultimate goals.The genetic NBS will interrogate 1) currently treatable RDs (TREAT-map gene panel), 2) actionable RDs (ACT-map gene panel) in 18.000 new-borns in 3 EU countries (D, It, and Cz).

Further, S4C will offer whole genome sequencing (WGS) to early symptomatic babies, tested negatively during panel-based NBS to identify known NBS-escaped RDs and novel genes/phenotypes.

S4C will also provide two digital diagnosis support systems for RD on the basis of features and symptom complexes: 1) federated ML- and literature-evidence-based algorithm for continuous and automated screening of EHR and 2) meta symptom checker with virtual clinics for patients and HCP offering the possibility of increased accuracy of diagnosis and ongoing supports.

Our ambitious goal is to evaluate the validity of our multi-pronged approach to shorten the time to diagnosis for all patients affect by RDs, improve value-based healthcare resource utilization, and hopefully reduce the suffering of millions of European citizens.

All Grantees

Pfizer Limited; Sitem-Insel Ag; Universita Degli Studi Di Siena; University College Dublin, National University of Ireland, Dublin; Illumina Cambridge Limited; Takeda Pharmaceuticals International Ag; Bulgarian Association for Personalized Medicine; Ucb Biopharma; Ludwig Boltzmann Gesellschaft Osterreichische Vereinigung Zur Forderung Der Wissenschaftlichen Forschung; Centre Hospitalier Reg Universitaire Dijon; Universitatsklinikum Bonn; Findzebra Aps; Consorcio Para la Explotacion Del Centro Nacional de Analisis Genomico; Eurordis - Rare Diseases Europe; Novartis Pharma Ag; Eurice European Research and Project Office Gmbh; Universitaet Bern; F. Hoffmann-la Roche Ag; Uppsala Universitet; Proqr Therapeutics Nv; Wallac Oy; Copenhagen Business School; Consorzio Futuro in Ricerca; Bulgarian Association for Promotion of Education and Science; Syddansk Universitet; Charite - Universitaetsmedizin Berlin; Gnx Data Systems Ltd; Lysogene; Univerzita Karlova; Ptc Therapeutics International Limited; Sanofi-Aventis Recherche & Developpement; Max-Planck-Gesellschaft Zur Forderung Der Wissenschaften Ev; Novo Nordisk A/S; Universitatsklinikum Erlangen; Universitaetsmedizin Goettingen - Georg-August-Universitaet Goettingen - Stiftung Oeffentlichen Rechts; Universitaetsklinikum Freiburg; Sba Research Gemeinnutzige Gmbh; Fundacio Centre de Regulacio Genomica; Ospedale Pediatrico Bambino Gesu; Research Institute Ag & Co Kg; Universita Degli Studi Di Ferrara

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