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    Ishtiaque Ahammad

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Improving genomic prediction of Alzheimer's disease onset and progression

Student name

Ishtiaque Ahammad (PhD candidate)

Supervisors

  1. Dr Eleanor O'Brien
  2. Professor Simon Laws
  3. Dr Tenielle Porter

Summary of thesis

Alzheimer’s disease (AD), the leading cause of dementia worldwide, is a complex disease with many underlying genetic and environmental risk factors, resulting in inter‐ individual variation in presentation and trajectory. This project will utilise statistical and machine‐learning approaches to improve genomic prediction of AD onset and progression. It may also explore whether modifiable lifestyle factors (e.g., physical activity, sleep) can mitigate genetic risk of AD and identify the stages along the disease trajectory where this effect is greatest. This study will help to identify individuals likely to benefit from early pharmacological or non‐pharmacological interventions, which may delay or prevent disease onset.

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