BEEHIVE

Bridging the Evolution and Epidemiology of HIV in Europe

 Coordinatore IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE 

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 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 2˙499˙739 €
 EC contributo 2˙499˙739 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2013-ADG
 Funding Scheme ERC-AG
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-04-01   -   2019-03-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    Academisch Medisch Centrum bij de Universiteit van Amsterdam

 Organization address address: MEIBERGDREEF 9
city: AMSTERDAM
postcode: 1105AZ

contact info
Titolo: Ms.
Nome: Gulseren
Cognome: Yalvac
Email: send email
Telefono: +31 20 5666265
Fax: +31 20 5669698

NL (AMSTERDAM) beneficiary 647˙880.00
2    GENOME RESEARCH LIMITED

 Organization address address: THE GIBBS BUILDING, EUSTON ROAD 215
city: LONDON
postcode: NW1 2BE

contact info
Titolo: Mr.
Nome: David
Cognome: Davison
Email: send email
Telefono: +44 1223494937
Fax: +44 1223494919

UK (LONDON) beneficiary 398˙960.00
3    IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

 Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Ms.
Nome: Tatjana
Cognome: Palalic
Email: send email
Telefono: +44 20 7594 6265

UK (LONDON) hostInstitution 1˙452˙899.40
4    IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

 Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Prof.
Nome: Christopher
Cognome: Fraser
Email: send email
Telefono: -75943373

UK (LONDON) hostInstitution 1˙452˙899.40

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

primary    genetic    risk    discover    evolution    infection    patients    beehive    diversity    secondary    tertiary    epidemiology    bioinformatics    viral    viruses    infected    clinical    throughput    outcomes    hiv    men    epidemic   

 Obiettivo del progetto (Objective)

'The aim of the BEEHIVE project is to generate novel insight into HIV biology, evolution and epidemiology, leveraging next-generation high-throughput sequencing and bioinformatics to produce and analyse whole-genomes of viruses from approximately 3,000 European HIV-1 infected patients. These patients have known dates of infection spread over the last 25 years, good clinical follow up, and a wide range of clinical prognostic indicators and outcomes. The primary objective is to discover the viral genetic determinants of severity of infection and set-point viral load. This primary objective is high-risk & blue-skies: there is ample indirect evidence of polymorphisms that alter virulence, but they have never been identified, and it is not known how easy they are to discover. However, the project is also high-reward: it could lead to a substantial shift in the understanding of HIV disease.

Technologically, the BEEHIVE project will deliver new approaches for undertaking whole genome association studies on RNA viruses, including delivering an innovative high-throughput bioinformatics pipeline for handling genetically diverse viral quasi-species data (with viral diversity both within and between infected patients).

The project also includes secondary and tertiary objectives that address critical open questions in HIV epidemiology and evolution. The secondary objective is to use viral genetic sequences allied to mathematical epidemic models to better understand the resurgent European epidemic amongst high-risk groups, especially men who have sex with men. The aim will not just be to establish who is at risk of infection, which is known from conventional epidemiological approaches, but also to characterise the risk factors for onwards transmission of the virus. Tertiary objectives involve understanding the relationship between the genetic diversity within viral samples, indicative of on-going evolution or dual infections, to clinical outcomes.'

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