Obiettivo During the last few years, most major disease phenotypes have been studied through genome-wide association mapping. This has been a remarkably successful enterprise, resulting in the discovery of more than 500 validated SNP-phenotype associations. Yet, these associations do not explain all the heritability of many common genetic diseases and it is not at all clear how they exert their effect at the cell level. Furthermore, current genome-wide association studies are designed to only find common polymorphisms associated with diseases, and they have very limited ability to detect rare variants and variants that interact with each other to cause a given disease phenotype. In the near future disease mapping projects will have access to full genome sequencing. Our limitations will therefore not be lack of information about the genetic differences but our ability to analyse very high dimensional data in a statistically powerful way, manage the data, and last, but not least, to interpret these in relation to complex phenotypes. Next generation disease mapping therefore calls for methods that can handle complete genetic information and relate it to complex biological information on the disease phenotypes. We propose to do research into new methods that can find more variants contributing to disease by explicitly modelling their interaction and combine the statistical signal contributed by several rare variants. To do this we need methods that can handle the large scale sequencing data and we need systems level approaches that make explicit models of each phenotype (disease) under consideration. The outcome should be a more thorough understanding of the cellular changes that lead to disease and how certain genetic variants contribute. Campo scientifico natural sciencesbiological sciencesgeneticsgenomes Programma(i) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Argomento(i) FP7-PEOPLE-2009-IAPP - Marie Curie Action: "Industry-Academia Partnerships and Pathways" Invito a presentare proposte FP7-PEOPLE-2009-IAPP Vedi altri progetti per questo bando Meccanismo di finanziamento MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP) Coordinatore AARHUS UNIVERSITET Contributo UE € 991 355,00 Indirizzo NORDRE RINGGADE 1 8000 Aarhus C Danimarca Mostra sulla mappa Regione Danmark Midtjylland Østjylland Tipo di attività Higher or Secondary Education Establishments Contatto amministrativo Lene Juul-Madsen (Ms.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato Partecipanti (1) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto ISLENSK ERFDAGREINING EHF Islanda Contributo UE € 1 106 839,00 Indirizzo STURLUGOTU 8 101 Reykjavik Mostra sulla mappa Regione Ísland Ísland Höfuðborgarsvæði Tipo di attività Private for-profit entities (excluding Higher or Secondary Education Establishments) Contatto amministrativo Bjorgvin Richardsson (Mr.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato