Author Identifier

Shane Fernandez

http://orcid.org/0000-0002-4881-245X

Date of Award

2025

Document Type

Thesis - ECU Access Only

Publisher

Edith Cowan University

Degree Name

Doctor of Philosophy

School

School of Medical and Health Sciences

First Supervisor

Tenielle Porter

Second Supervisor

Simon Laws

Third Supervisor

Vincent Doré

Fourth Supervisor

Timothy Cox

Abstract

Cognitive decline is a fundamental measure of Alzheimer’s disease progression. However, individual variation in rates of change is widely reported. Genetics may contribute to this, but prior studies have struggled to replicate findings, possibly due to inconsistent cognitive measures as well as methodological limitations. To address this, traditional and novel modelling approaches were compared in exploring how genetic factors may affect rates of decline in five cognitive domains. Results show that accounting for non-linear effects of impairment improves detection of genetic signals in cognitive decline. These findings propose new methodological approaches and highlight potentially important genetic variants for further investigation.

DOI

10.25958/32hw-0m88

Access Note

Access to this thesis is embargoed until 22nd March 2030

Available for download on Friday, March 22, 2030

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