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Grant Award View - GA270072
Statistical Methods for Next Generation Genome-Wide Association Studies
GA ID:
GA270072
Agency:
Australian Research Council
Approval Date:
14-Oct-2022
Publish Date:
19-Oct-2022
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jan-2023 to 31-Dec-2026
Original: 14-Oct-2022 to 30-Jun-2026
Value (AUD):
$904,843.00
(GST inclusive where applicable)
Variations:
- GA270072-V1 - Variation to Grant (16-Jan-2023 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 22/23 Discovery
Grant Program:
ARC Future Fellowships
Grant Activity:
Statistical Methods for Next Generation Genome-Wide Association Studies
Purpose:
This project aims to develop cutting-edge statistical methods to analyse large genomic datasets and identify genetic variants associated with inter-individual differences in various human traits. Knowledge of trait-associated DNA variants is instrumental in understanding how natural selection has shaped human traits. By integrating genomic data from diverse and underrepresented populations, this project further expects to contribute to the equitable use of genomic technologies in humans, regardless of geographical origins. Expected outcomes of this research include novel analysis methods and software tools, which should broadly and significantly benefit gene discovery in other species, including those of agricultural relevance.
GO ID:
GO Title:
Future Fellowships for funding commencing in 2022
Internal Reference ID:
FT22 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Queensland
Recipient ABN:
63 942 912 684
Grant Recipient Location
Suburb:
ST LUCIA
Town/City:
ST LUCIA
Postcode:
4067
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4067
Country:
AUSTRALIA