Identifying unintentional effects of medication using statistical genetics analyses of large-scale genetic and genomic data

Funding Activity

Website
http://purl.org/au-research/grants/nhmrc/2000637

Funding Status
Status not available

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Funded Activity Summary

An increasing number of studies have highlighted unknown adverse effects of medication, for example, use of statins to lower cholesterol with increased risk of type 2 diabetes. The gold standard approach to confirm these effects is randomised control trials, which may not always be feasible or ethical, and are very expensive. This project aims to apply innovative statistical genetics approaches to (genetic and genomic) 'big-data' to predict unknown effects of commonly prescribed medications.

Funded Activity Details

Start Date: 01-01-2020

End Date: End date not available

Funding Scheme: Ideas Grants

Funding Amount: $251,441.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

genetic analysis | genetic epidemiology | pharmacogenetics | statistical genetics

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