Cel 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. Dziedzina nauki natural sciencesbiological sciencesgeneticsgenomes Program(-y) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Temat(-y) FP7-PEOPLE-2009-IAPP - Marie Curie Action: "Industry-Academia Partnerships and Pathways" Zaproszenie do składania wniosków FP7-PEOPLE-2009-IAPP Zobacz inne projekty w ramach tego zaproszenia System finansowania MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP) Koordynator AARHUS UNIVERSITET Wkład UE € 991 355,00 Adres NORDRE RINGGADE 1 8000 Aarhus C Dania Zobacz na mapie Region Danmark Midtjylland Østjylland Rodzaj działalności Higher or Secondary Education Establishments Kontakt administracyjny Lene Juul-Madsen (Ms.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych Uczestnicy (1) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko ISLENSK ERFDAGREINING EHF Islandia Wkład UE € 1 106 839,00 Adres STURLUGOTU 8 101 Reykjavik Zobacz na mapie Region Ísland Ísland Höfuðborgarsvæði Rodzaj działalności Private for-profit entities (excluding Higher or Secondary Education Establishments) Kontakt administracyjny Bjorgvin Richardsson (Mr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych