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 featur ....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.Read moreRead less
Can parasites cause host population divergence? . Parasites have been proposed to be drivers of population divergence, and ultimately speciation, yet the dynamics of this process are not well understood. This project will utilise new genomic techniques, novel hybrid zone analyses, and data on mate choice, to investigate the hypothesis that parasites drive population divergence through an interaction with immune response genes in the sleepy lizard Tiliqua rugosa. This species provides an unpreced ....Can parasites cause host population divergence? . Parasites have been proposed to be drivers of population divergence, and ultimately speciation, yet the dynamics of this process are not well understood. This project will utilise new genomic techniques, novel hybrid zone analyses, and data on mate choice, to investigate the hypothesis that parasites drive population divergence through an interaction with immune response genes in the sleepy lizard Tiliqua rugosa. This species provides an unprecedented system, backed by 37 years of long term host-parasite and behavioural data, and recent genetic analyses. This project intends to produce significant data to allow an examination of the early stages of host-parasite evolution in action, providing novel insights into the speciation process. Read moreRead less