MULTIMOD

Multi-layer network modules to identify markers for personalized medication in complex diseases

Coordinatore	LINKOPINGS UNIVERSITET    more  Organization address address: CAMPUS VALLA city: LINKOPING postcode: 581 83 contact info Titolo: Ms. Nome: Helena Cognome: Blackert Email: send email Telefono: +46 13 28 19 50
Nazionalità Coordinatore	Sweden [SE]
Totale costo	3˙644˙610 €
EC contributo	2˙525˙888 €
Programma	FP7-HEALTH Specific Programme "Cooperation": Health
Code Call	FP7-HEALTH-2007-B
Funding Scheme	CP-FP
Anno di inizio	2008
Periodo (anno-mese-giorno)	2008-11-01   -   2012-10-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	LINKOPINGS UNIVERSITET  Organization address address: CAMPUS VALLA city: LINKOPING postcode: 581 83 contact info Titolo: Ms. Nome: Helena Cognome: Blackert Email: send email Telefono: +46 13 28 19 50	SE (LINKOPING)	coordinator	492˙991.20
2	GOETEBORGS UNIVERSITET  Organization address address: VASAPARKEN city: GOETEBORG postcode: 405 30 contact info Titolo: Dr. Nome: Margareta Cognome: Ahlqwist Email: send email Telefono: +46 31 7865345 Fax: +46 31 7864355	SE (GOETEBORG)	participant	777˙537.80
3	OSLO UNIVERSITETSSYKEHUS HF  Organization address address: FORSKNINGSVEIEN 2B city: OSLO postcode: 373 contact info Titolo: Prof. Nome: Gunhild Cognome: Mælandsmo Email: send email Telefono: 22781879	NO (OSLO)	participant	734˙919.00
4	IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE  Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD city: LONDON postcode: SW7 2AZ contact info Titolo: Mr. Nome: Michael Cognome: Robinson Email: send email Telefono: +44207594 3866 Fax: +44207594 3868	UK (LONDON)	participant	353˙640.00
5	CENIX BIOSCIENCE GMBH  Organization address address: TATZBERG 47 city: DRESDEN postcode: 1307 contact info Titolo: Ms. Nome: Karen Cognome: Huppertz Email: send email Telefono: +49 351 4173161 Fax: +49 351 4173109	DE (DRESDEN)	participant	166˙800.00
6	THE UNIVERSITY OF TENNESSEE  Organization address address: WHITE AVENUE 1534 city: KNOXVILLE postcode: 37996 1529 contact info Titolo: Ms. Nome: E. Christine Cognome: Cox Email: send email Telefono: +865 974 2465 Fax: +865 974 2805	US (KNOXVILLE)	participant	0.00

Mappa

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 Obiettivo del progetto (Objective)

'The symptoms of complex disease like allergy, obesity and cancer depend on the products of multiple interacting genes. High-throughput techniques have implicated hundreds of genes. There are also considerable individual variations. A clinical implication of this may be inadequate treatment response, which is increasingly recognized as a cause of increased suffering and costs. Ideally, physicians should be able to routinely personalize medication based on a few diagnostic markers. Finding such markers is a formidable challenge. We hypothesize that translational clinical studies based on high-throughput genomics, advanced computing and systems biology may help to identify markers for personalized medication in complex diseases. We organize disease-associated genes in networks that are analyzed in a top-down manner. First, modules of interacting genes with distinct biological functions are identified. Then the modules are dissected to find pathways and finally upstream genes with key regulatory functions. We use bioinformatic methods that were recently described by us in Nature Genetics and Nature Biotechnology. An important focus of this project is to develop these methods to form multi-layer modules that integrate information about disease-associated changes on the DNA, RNA and protein levels. Since these levels interact, studies of the different levels can be interactively used to cross-validate the modules. This involves both genetic and experimental studies, but the ultimate test of the modules will be if they can be used for clinical predictions. For example, changes in RNA expression may be caused by a single nucleotide polymorphism (SNP) in a regulatory region. If so, the corresponding protein is tried as a marker to personalize medication. We have chosen hay fever as a model of complex disease because it is common, well-defined and readily examined in clinical and experimental studies. However, the methods may be generally applicable to complex diseases.'

Introduzione (Teaser)

Protein interactions constitute a key element in our understanding of disease-associated genes. A European consortium aimed to use the prognostic significance of this information for predicting patients' responses to medication.