Statistical Tools for studying genetic architecture

Projektinformationen

STSGA

ID Finanzhilfevereinbarung: 220558

Abgeschlossenes Projekt

Startdatum 1 April 2008

Enddatum 31 Dezember 2009

Finanziert unter

• Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Gesamtkosten € 189 689,90

EU-Beitrag € 189 689,90

Koordiniert durch

UNIVERSITETET I OSLO
Norway

Ziel

Molecular biology has shown that most phenotypes are affected by complex, interacting gene networks. Yet, evolutionary biologists and population geneticists often assume very simple genetic architectures where genes act more of less independently of each other. These assumptions are made for conceptual clarity and are partially justified through statistical definitions of gene effects that capture the main effects of alleles as averages over many complex interactions. Still, recent research has revealed many systematic patterns of epistasis and pleiotropy with population genetic effects that should not be ignored. This makes a detailed understanding of genetic architecture important for many questions in evolutionary biology, including the basis of evolvability, and also instrumental for many questions in animal and crop improvement, including our ability to predict selection limits and to avoid unwanted side effects of artificial selection. The philosophy of this project is to develop methods that yield operational measurements of dynamically relevant parameters. A serious problem is the study of genetic architecture has been that many of the parameters in use are not derived from process models, epistatic variance components being the most obvious example. For this reason, it is necessary to combine the statistical models with process models to ensure a general understanding of the meaning of estimators.

Wissenschaftliches Gebiet

• natural sciences › biological sciences › evolutionary biology
• agricultural sciences › agriculture, forestry, and fisheries › agriculture
• natural sciences › mathematics › applied mathematics › statistics and probability
• humanities › philosophy, ethics and religion › philosophy
• natural sciences › biological sciences › molecular biology

Schlüsselbegriffe

• Animal and Plant Breeding
• Biodiversity
• Population genetics
• Quantitative Genetics
• Statistics

Programm/Programme

• FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Thema/Themen

• PEOPLE-2007-2-1.IEF - Marie Curie Action: "Intra-European Fellowships for Career Development"

Aufforderung zur Vorschlagseinreichung

FP7-PEOPLE-2007-2-1-IEF
Andere Projekte für diesen Aufruf anzeigen

Finanzierungsplan

MC-IEF - Intra-European Fellowships (IEF)

Koordinator

UNIVERSITETET I OSLO

Kontakt Verwaltung

Maren S. Rasch Onsrud (Dr.)

• EU-Beitrag: € 189 689,90
• Adresse: PROBLEMVEIEN 5-7 ; 0313 Oslo ; Norwegen
• Region: Norge › Oslo og Viken › Oslo
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: Keine Daten