Advanced whole-genome approaches for causative variant detection and individual risk prediction of complex traits in human populations.

Funding Activity

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Funded Activity Summary

The genomics era has demonstrated the true complexity of complex genetic traits, but brings promise for personalised genomic medicine in which diagnosis and treatment are tailored to individuals based on profiles recorded in their genome. This project aims to develop advanced statistical methods to better detect causative variants and to better predict an individual’s risk of disease. Our methods may lead to predictions of risk of disease for individuals that have clinical utility.

Funded Activity Details

Start Date: 01-01-2015

End Date: 01-01-2018

Funding Scheme: Project Grants

Funding Amount: $356,014.00

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

genomics | model | risk prediction | single nucleotide polymorphism (SNP) | statistical genetics