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Content archived on 2024-06-18

Statistical Tools for studying genetic architecture

Objective

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.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

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FP7-PEOPLE-2007-2-1-IEF
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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MC-IEF - Intra-European Fellowships (IEF)

Coordinator

UNIVERSITETET I OSLO
EU contribution
€ 189 689,90
Address
PROBLEMVEIEN 5-7
0313 Oslo
Norway

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Region
Norge Oslo og Viken Oslo
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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