Understanding genetic contributions to disease progression in Alzheimer's disease
Leveraging extensive existing genome wide genetic and longitudinal clinical phenotype (brain imaging, cognition) data combined with bioinformatic approaches, this program of research will further our understanding of the genetic contributions to Alzheimer's disease development and progression.
Identifying DNA methylation patterns as biomarkers for Alzheimer's disease
Leveraging extensive longitudinal epigenetic (genome wide methylation) and clinical phenotype (brain imaging, cognition) data combined with bioinformatic approaches, this project will contribute significantly to understanding epigenetic changes that occur during the development and progression of Alzheimer’s disease.
Exploring gene-lifestyle interactions to allow for the personalisation of intervention approaches in Alzheimer's disease
This research program investigates the interaction of genetics and lifestyle/modifiable risk factors (sleep, physical activity, diet, and metabolic factors) in the context of Alzheimer's Disease with the aim of furthering our understanding of gene-lifestyle interactions (Lifestyle Genomics (LGx)) and development of individualised lifestyle interventions and preventative strategies.
Unveiling the biological mechanisms of complex neurological conditions through genetic dissection
Through the application of statistical genetic approaches and integrating in-house and publicly available large-scale genomic data, this research program focuses on unravelling the genetic underpinnings of neurological conditions, with a particular emphasis on Alzheimer’s disease, and comorbidities, exploring their biological implications, and identifying potential targets for further investigations.