Objective
Since the advent of the HIV epidemic, more than 25 million people have died from AIDS. Antiretroviral therapy (ART) has dramatically decreased to mortality and morbidity in high income countries. However, the virus adapts rapidly during suboptimal therapy and over 200 mutations are associated with resistance to one or more drugs. Drug resistance is thus a major threat to the long-term outcome of ART. The EuResist project is the worlds largest database and has created a prediction engine, based on a combination of HIV genetic data, treatment history and clinical response, from over 33,000 patients from six European countries. The amount of data and participating countries, are ontinuously increasing. Given the viral DNA sequence and patient clinical data, EuResist can recommend the therapy most likely to effectively suppress the viral load, and avoid drug combinations likely to fail due to resistance. Currently, the data is mainly retrieved from HIV subtype B, since this viral type is the most common in Europe. One of the main aims of the project is therefore to enhance the prediction for other subtypes, e.g. subtype C, which is the most common in Africa and world-wide. This will be achieved through addition of new data from patients infected with different viral subtypes, both from Sweden and from collaborating institutes in Ethiopia, Tanzania and South Africa. Furthermore, we will perform thorough bioinformatic analysis of mutational patterns in relation to the viral subtype, where the ultimate goal is to create a valid treatment prediction based on clinical data and treatment history, without the need for viral DNA sequence data. If this is achieved it will be a highly important contribution to the fight against AIDS in low and middle-income countries.
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.
- social sciences sociology demography mortality
- humanities history and archaeology history
- natural sciences biological sciences genetics DNA
- medical and health sciences health sciences infectious diseases RNA viruses HIV
- medical and health sciences basic medicine pharmacology and pharmacy drug resistance
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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-PEOPLE-2009-RG
See other projects for this call
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
171 77 STOCKHOLM
Sweden
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.