Objective
Given contemporary understanding of the complexity of the causal architecture of common chronic diseases, the next stage of bioclinical scientific progress will depend critically on large-scale pooled analyses of high quality data from many biobanks and bioclinical studies. Such analyses will only be possible if we are able to harmonise and standardise the collection, storage, and management of data and bio-samples across biobanking studies. Recent consortium-based meta-analyses of genome-wide association studies (GWAS) have clearly demonstrated that it is possible to pool and analyse genomic data with broad indicators of disease status. But if health care science is to move quickly towards the exciting goals that have been envisaged for public health, clinical science, and personalised medicine a far greater challenge must now be overcome. That is, the standardization and harmonization of data and key measures of life-style, social circumstances and environment, as well as critical sub-components of the phenotypes associated with common complex diseases. This is the mission of BioSHaRE-EU.
BioSHaRE-EU will work hand-in-hand with BBMRI (Biobanking and Bio-molecular Resources Research Infrastructure) and P3G (Public Population Project in Genomics), to build directly on extensive precursor work in the field of harmonisation and standardisation. The project will deliver tools to harmonize phenotypes of complex diseases, as well as lifestyle and environmental factors. In addition, it provides statistical methods and biostatistical tools for meta-analysis of large scale studies. These tools and methods will be developed and implemented in five large partner-biobanks: HUNT, KORA, LifeGene, LifeLines, UK-biobank. BioSHaRE-EU will also implement these in additional disease consortia of clinical biobanks, and other population-based biobanks.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences health sciences health care sciences
- natural sciences biological sciences genetics
- medical and health sciences health sciences public health
- medical and health sciences health sciences personalized medicine
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-HEALTH-2010-single-stage
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
9713 GZ Groningen
Netherlands
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Participants (16)
LE1 7RH Leicester
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0456 Oslo
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00014 HELSINGIN YLIOPISTO
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85764 Neuherberg
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7491 Trondheim
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171 77 STOCKHOLM
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75654 PARIS
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M13 9PL Manchester
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2111 XS Aerdenhout
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H3A0G4 Montreal
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8010 GRAZ
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H3V 1A2 MONTREAL
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M5G 0 A3 Toronto
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OX1 2JD Oxford
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SW7 2AZ London
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BS8 1QU BRISTOL
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