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Mapping Wild Cards

Inspired by: FP7 » Mapping of risk geographical areas through gene-environment interactions

version: 1 / created: 2009-10-24
id: #204 / version id: #204
mode: VIEW

Originally submitted by: Graciela Sainz
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Last changed by: Graciela Sainz
WI-WE status:
unpublished

Source of inspiration

European Commission Framework Programme for RTD (FP7)

Theme/activity of inspiration

Theme 6 - Environment (including Climate Change)

Sub-theme/area of inspiration

Environment and health

Optional reference/s to FP7 project/s

Use the following format: Project Acronym (Project Reference No.). Use commas if more than one project is associated to this Wild Card, for example: ALFA-BIRD (213266), SAFAR (213374), LAPCAT-II (211485)
ENVIROGENOMARKERS (226756)

Headline

(max. 9 words)

Mapping of risk geographical areas through gene-environment interactions

Description

(approx. 150 words)
Please describe the Wild Card (approx. 150 words)
This wild card consists on the use of genetic biomarkers to detect gene-environment interactions and map geographical areas where the risk of environment-associated diseases is high (risk areas). It is known that the environment has some effects on the health state of individuals. Some pollutants for example originate genetic mutations that are at the origin of some types of cancer, but the interactions gene-environment, are not well known. Advances in genetic technologies, systems biology and their combination with bioinformatic tools, may develop devices (biochips) able to measure an array of genes susceptible to mutate due to environmental factors. This would enable the assessment of the risk of individuals to live in certain environments and map the areas where the risk of suffering environment-associated diseases is high (risk areas) and other areas where this risk is minor (safe areas).

Keywords

genetic biomarkers, gene-environment, risk areas, health

Type of event

Human planned (e.g. terrorist attack or funded scientific breakthrough)

Type of systems affected

Both

Classification

Desirable

Latent phase

Obstacles for early indentification

scientific filters (knowledge/technology access)

Manifestation phase

Type of manifestation

In a probably enclosed way (e.g. geographically, sectorally)

Aftermath phase

Important implications
Transformation of a system (e.g. new applications, change in stakeholders relations/influence)

Comments

Scientific filters (knowledge/technology access): There is currently a lack of understanding of the interactions gene-environment. Probably enclosed (e.g. geographically, sectorally): The wild card will require the establishement of complicated technological systems that will only be implemented in those regions that are more prepared to receive such technology. Transformation of the system (e.g. new applications): The wild card would imply a new environmental application of genetic technologies

Key drivers or triggers

Provide up to 2 possible drivers or triggers of HIGH importance. Click on HELP to see examples:
please describe
Driver / Trigger 1
please describe
Driver / Trigger 2
Social Increase rate of diseases Population concerns about the effects of the environment on health
Technological/Scientific Advances on genetic technologies
Environmental Increase in the production of pollutants as a result of industrialised systems

Relevance for thematic research areas

please justify:
particularly relevant
Health It aims to improve health outcomes
ICT - Information & communication technologies It involves the use of ICTs
Nanosciences, nanotech, materials & new prod. tech. It requires developming miniature technologies
Environment (including Climate Change) It aims to find health-environment associations

Pan-European strategies potentially helping to deal with the wild card

please justify:
particularly relevant
Developing and funding world-class research infrastructures Positive
Facilitating and promoting knowledge sharing and transfer Positive
Fostering and facilitating coherent international cooperation in science and technology Positive