Objective
Assessing individual exposure to environmental stressors and predicting health outcomes implies that both environmental exposures and epi/genetic variations are reliably measured simultaneously. HEALS (Health and Environment-wide Associations based on Large population Surveys) brings together in an innovative approach a comprehensive array of novel technologies, data analysis and modeling tools that support efficiently exposome studies. The general objective of HEALS is the refinement of an integrated methodology and the application of the corresponding analytical and computational tools for performing environment-wide association studies in support of EU-wide environment and health assessments. The exposome represents the totality of exposures from conception onwards, simultaneously identifying, characterizing and quantifying the exogenous and endogenous exposures and modifiable risk factors that predispose to and predict diseases throughout a person’s life span. The HEALS approach brings together and organizes environmental, socio-economic, exposure, biomarker and health effect data; in addition, it includes all the procedures and computational sequences necessary for applying advanced bioinformatics coupling thus effective data mining, biological and exposure modeling so as to ensure that environmental exposure-health associations are studied comprehensively. The overall approach will be verified and refined in a series of population studies across Europe including twin cohorts, tackling different levels of environmental exposure, age windows of exposure, and socio-economic and genetic variability. The HEALS approach will be applied in a pilot environment and health examination survey of children including singletons and sets of twins with matched singletons (each twins pair having also a matched singleton) covering ten EU Member States (the EXHES Study). The lessons learned will be translated into scientific advice towards the development of protocols and guidelines for the setting up of a larger European environment and health examination survey.
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.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Programme(s)
Call for proposal
FP7-ENV-2013-two-stage
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Funding Scheme
CP - Collaborative project (generic)Coordinator
75006 Paris
France
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Participants (36)
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75252 PARIS
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546 36 THESSALONIKI
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EH14 4AP EDINBURGH
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70174 Stuttgart
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1000 Ljubljana
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75270 cedex 06 Paris
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BS8 1QU Bristol
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00161 Roma
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80539 MUNCHEN
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91 348 Lodz
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02044 VTT ESPOO
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02150 Espoo
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M13 9PL Manchester
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2595 DA Den Haag
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SW1P 4DF LONDON
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28006 Madrid
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501 00 KOZANI
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08028 Barcelona
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1049-001 Lisboa
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10020 Zagreb
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00185 Roma
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4099-002 Porto
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15341 Agia Paraskevi
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43003 Tarragona
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93053 Regensburg
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2333 BZ LEIDEN
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WC2R 2LS London
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0456 Oslo
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5230 Odense M
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94607 Berkeley
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17177 Stockholm
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4200-465 Porto
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EC2V 7NQ London
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10000 Zagreb
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8000 Aarhus C
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2333 BZ Leiden
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