Discovery Projects - Grant ID: DP190100766 [ 2019 - 2023 ]

Research Grant

[Cite as]

Researchers Dr Sang Hong Lee; Prof Elina Hypponen

Brief description 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

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