Research Grant
[Cite as https://purl.org/au-research/grants/arc/DP190100766]Researchers: Elina Hypponen (Chief Investigator) , Sang Hong Lee (Chief Investigator)
Brief description Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key feature in biology, which relates to dissecting the complex mechanism of association and interaction. The proposed statistical model implemented in a context of a novel design based on multiple GWAS data sets is a paradigm shifting-tool with applications to multiple industries.
Funding Amount $404,000
Funding Scheme Discovery Projects
- PURL : https://purl.org/au-research/grants/arc/DP190100766
- ARC : DP190100766