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Grant Award View - GA60390
Statistical methods and tools to integrate genetic and non-genetic data...
GA ID:
GA60390
Agency:
National Health and Medical Research Council (NHMRC)
Approval Date:
1-Aug-2019
Publish Date:
4-Nov-2019
Category:
Medical Research
Grant Term:
1-Jan-2020 to 31-Dec-2024
Value (AUD):
$639,750.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
NHMRC 19/20 1.1 Health and Medical Research
Grant Program:
Investigator
Grant Activity:
Statistical methods and tools to integrate genetic and non-genetic data for risk prediction of common diseases
Purpose:
The use of genetic markers can predict an individual's risk of developing a common disease, which is central to early disease diagnosis, prevention and intervention. How to achieve high prediction accuracy is a critical problem to this effort. My aim is to develop statistical methods and tools that leverage multiple information to best predict an individual’s disease risk based on both genetic and environmental risk factors.
GO ID:
GO Title:
Investigator Grants 2019
Internal Reference ID:
GNT1177268
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
Yes
Confidentiality Reason(s) - Contract:
Privacy Act 1988
Intellectual property
Intellectual property
Confidentiality - Outputs:
Yes
Confidentiality Reason(s) - Outputs:
Intellectual property
Grant Recipient Details
Recipient Name:
University of Queensland
Recipient ABN:
63 942 912 684
Grant Recipient Location
Suburb:
St Lucia
Town/City:
St Lucia
Postcode:
4072
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
Country:
AUSTRALIA