Objective
High-throughput next-generation DNA sequencing technologies allow investigators to sequence entire human genomes at an affordable price and within a short time frame. The correct interpretation, storage, and dissemination of the large amount of produced genomics data generate major challenges. Tackling these challenges requires extensive exchange of data, information and knowledge between medical scientists, sequencing centres, bioinformatics networks and industry at the European level. The GEUVADIS (genetic European variation in disease) Consortium aims at developing standards in quality control and assessment of sequence data, models for data storage, exchange and access, as well as standards for the handling, analysis and interpretation of sequencing data and other functional genomics datasets, standards for the biological and medical interpretation of sequence data and in particular rare variants for monogenic and common disorders, and finally standards for the ethics of phenotype prediction from sequence variation. The partners are all involved in international sequencing initiatives (1000 GP, ICGC), EU and other international projects (ENGAGE, GEN2PHEN, ENCODE, TECHGENE …), biobanking activities (BBMRI), data sharing initiatives (ELIXIR), and the European Sequencing and Genotyping Infrastructure (ESGI), ensuring tight collaborations. The Consortium will undertake pilot sequencing projects on selected samples from three medical fields (cardiovascular, neurological and metabolic), using RNA (RNASeq) and DNA (exonSeq) sequencing. The analysis of such samples will allow the consortium to set up standards in operating procedures and biological/medical interpretation of sequence data in relation to clinical phenotypes. The consortium will bring together the knowledge and resources on medical genome sequencing at a European level and allow researchers to develop and test new hypotheses on the genetic basis of disease.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Call for proposal
FP7-HEALTH-2010-single-stage
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Funding Scheme
CSA-CA - Coordination (or networking) actionsCoordinator
08003 Barcelona
Spain
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Participants (16)
1211 Geneve
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85764 Neuherberg
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CB10 1SA SAFFRON WALDEN
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75015 PARIS 15
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80539 Munchen
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08028 Barcelona
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751 05 Uppsala
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24118 Kiel
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6525 XZ Nijmegen
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2333 ZA Leiden
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15782 Santiago De Compostela
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69117 Heidelberg
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75654 Paris
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64293 Darmstadt
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CB21 6DF Great Abington
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21218 Baltimore
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