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ARGPHENO SIGNED

Using hidden genealogical structure to study the architecture of human disease

Total Cost €

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EC-Contrib. €

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Partnership

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Project "ARGPHENO" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD 

Organization address
address: WELLINGTON SQUARE UNIVERSITY OFFICES
city: OXFORD
postcode: OX1 2JD
website: www.ox.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙499˙665 €
 EC max contribution 1˙499˙665 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2024-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) coordinator 1˙499˙665.00

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 Project objective

Large-scale genome-wide association studies (GWAS) have yielded thousands of genetic as-sociations to heritable traits, but for most common diseases, these signals collectively explain only a small fraction of phenotypic variation. The phenotypic impact of recent, rare genetic variants, in particular, is poorly understood, but currently available data sets and analytical tools cannot be used to effectively study this class of variation. To address this problem, we propose to develop new computational methodology that will enable studying the phenotypic role of recent, rare genetic variation. This will improve our understanding of the architecture of heritable complex traits, inform the design of future studies, and increase our ability to detect novel associations.

This project will address three specific aims. The first aim is to devise new methods to accurately reconstruct the complex network of genealogical relationships of individuals using high/low-coverage sequencing or microarray data. The second is to leverage these genealogical structures to infer the presence of unobserved genetic variation, with the goal of analyzing variance components of narrow sense heritability attributable to rare variants and studying the evolutionary history of heritable traits. Finally, in the third aim, we will develop new approaches to detect association to both rare and common variants, increasing the statistical power of GWAS methodology.

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The information about "ARGPHENO" are provided by the European Opendata Portal: CORDIS opendata.

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