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Content archived on 2024-06-18

ADVANCED STATISTICAL METHODS FOR HIGH-DIMENSIONAL GENETIC STUDIES

Objective

Statistical methods play a central role in the field of modern genetics. New technologies are driving an explosion of high-dimensional datasets that will sustain a continuing need for new methods, theory and computationally efficient software. My proposal has two parts that will address the statistical challenges and creation of resources at the frontier of the science in this area. The methods development will be driven by, and applied to, several cutting-edge datasets in the fields of human disease genetics, population genetics and plant and animal breeding, guaranteeing impact on exciting scientific questions.

The first part concerns a wide circle of ideas around haplotype estimation, genotype imputation and analysis of sequencing data. The overarching aim is to provide a suite of methods that can estimate haplotypes and impute genotypes in a unified and computationally efficient manner. In addition, we will work to create a reference set of haplotypes from tens of thousands of European and worldwide samples that will form a central resource for human disease and population genetic studies.

The second part concerns the development of models for high-dimensional phenotypic data in genome-wide association studies. This is poorly developed area of human disease genetics with great potential for methods development and wide ranging applications.

Fields of science (EuroSciVoc)

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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

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

ERC-2013-CoG
See other projects for this call

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.

ERC-CG - ERC Consolidator Grants

Host institution

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
EU contribution
€ 1 627 906,00
Address
WELLINGTON SQUARE UNIVERSITY OFFICES
OX1 2JD Oxford
United Kingdom

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Region
South East (England) Berkshire, Buckinghamshire and Oxfordshire Oxfordshire
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.

No data

Beneficiaries (1)

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