grant

Identifying unintentional effects of medication using statistical genetics analyses of large-scale genetic and genomic data [ 1/1/2021 - 12/31/2022 ]

Research Grant

[Cite as https://purl.org/au-research/grants/nhmrc/2000637]

Brief description 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.

Funding Amount $251,441

Funding Scheme Ideas Grants

Chief Investigator Dr Sonia Shah

Notes Ideas Grants

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Identifiers
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ACN 633 798 857