Objectif 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. Champ scientifique natural sciencesbiological sciencesgeneticsgenomes Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Thème(s) FP7-PEOPLE-2009-IAPP - Marie Curie Action: "Industry-Academia Partnerships and Pathways" Appel à propositions FP7-PEOPLE-2009-IAPP Voir d’autres projets de cet appel Régime de financement MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP) Coordinateur AARHUS UNIVERSITET Contribution de l’UE € 991 355,00 Adresse NORDRE RINGGADE 1 8000 Aarhus C Danemark Voir sur la carte Région Danmark Midtjylland Østjylland Type d’activité Higher or Secondary Education Establishments Contact administratif Lene Juul-Madsen (Ms.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée Participants (1) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire ISLENSK ERFDAGREINING EHF Islande Contribution de l’UE € 1 106 839,00 Adresse STURLUGOTU 8 101 Reykjavik Voir sur la carte Région Ísland Ísland Höfuðborgarsvæði Type d’activité Private for-profit entities (excluding Higher or Secondary Education Establishments) Contact administratif Bjorgvin Richardsson (Mr.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée