Student Projects

Using large scale genetic data to understand cholinergic dysfunction in Alzheimer’s diseases

Project Supervisor/s

This project is suitable for Honours, Masters, MPhil, MD or PhD student. For those with experience in coding and statistics, and an interest in dementia, genetic epidemiology, and bioinformatics.

Background

Cholinesterase inhibitors are the primary drugs currently used for the treatment of Alzheimer’s disease (AD), but the exact mechanism of action is unclear. Gaining a more accurate and comprehensive understanding of cholinergic dysfunction and its underlying mechanisms at early stages of AD is crucial for facilitating the development of timely and more effective treatment strategies.

Aim

To use large-scale genetic data to understand the causal relationships between the cholinergic pathway and AD.

Method

The student will work with available genome-wide SNP chip data from our in house cohorts as well as large scale international datasets (such as UK Biobank).  Techniques such as polygenic risk score (PRS) analysis and Mendelian randomisation (MR) will be used to identify genetic correlations and test whether cholinergic degeneration is an early-stage casual disease process in AD.

Project Potential

This work will facilitate a more comprehensive understanding of the cholinergic system’s role in AD.

To apply for this project, please contact the project supervisor/s

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