New computational methods for the analysis of whole-genome data

Funding Activity

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Funded Activity Summary

A complete understanding of the mechanisms underlying common diseases can only be achieved if all pathways at which genetic variation contributes to disease risk are identified. Most available methods to identify such predisposing genetic variation are adequately powered only when analysing data for many thousands of samples. We will develop more powerful statistical methods that can increase our ability to identify disease genes from large-scale association studies.

Funded Activity Details

Start Date: 01-01-2010

End Date: 01-01-2011

Funding Scheme: NHMRC Project Grants

Funding Amount: $151,516.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Quantitative Genetics (incl. Disease and Trait Mapping Genetics)

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

Biostatistical methods | Burden of genetic disease in population | Complex genetic disease | Determining genetic susceptibility to disease | Gene mapping | Genetic predisposition