Scientific programme

A05.c  Posters - Theme A - Beta-Amyloid Diseases
A05.c. Genetics, Epidemiology: GWAS, genetic associations, susceptibility & protective genes

30-Mar-2017 08:00 18:00
 
 
Abstract: 185
GENETIC RISK PROFILE FOR PREDICTION OF COGNITIVE DECLINE IN PRE-SYMPTOMATIC AD CLINICAL TRIALS
Aims

Clinical trials in pre-symptomatic and prodromal AD are focused on pathology-biomarker positive (CSF/PET Amyloid-β) individuals. For therapeutic efficacy, individuals need to decline over the course of the trial on clinical endpoints (cognitive measures). Several genes have previously been associated with cognition, including APOE, KIBRA, KLOTHO, BDNF and COMT. The aim of this report is to elucidate if risk alleles within these genes can be suitably combined to predict cognitive decline in a pre-symptomatic population

Method

174 biomarker positive (Aβ PET) pre-symptomatic AD participants from the Australian Imaging, Biomarker and Lifestyle (AIBL) study were evaluated. A decision tree was generated that combined genotypes from the aforementioned genes into a genetic risk profile. Cognitive decline was evaluated across six composites (Preclinical/Prodromal AD, Verbal/Visual Episodic Memory, Executive Function, Language) using linear mixed models to estimate the longitudinal trajectories.

Results

A genetic risk profile encompassing four of the five genes (excluding COMT) elucidated four groups: ε4+ risk, ε4+ resilient, ε4- risk and ε4- resilient. The ε4+ risk group had significantly faster rates of cognitive decline than both ε4- groups for all composites and significantly faster rates than the ε4+ resilient group for all composites except Preclinical AD. The ε4- risk group declined faster than the ε4- resilient group on all composites.

Conclusion

Genes previously associated with cognition grouped pre-symptomatic, biomarker positive AIBL participants into at-risk and resilient groups for cognitive decline. If validated this profile has potential utility in participant selection/stratification for pre-clinical AD trials where decline on clinical endpoints (cognition) is essential to determine therapeutic effectiveness.

 
Co-authors
S. Laws 1, T. Porter 1, G. Savage 2, C. Masters 3, P. Maruff 3, C. Rowe 4, R. Martins 1, G. Verdile 5, V. Villemagne 3, S. Burnham 6
1Edith Cowan University, School of Medical and Health Sciences, Joondalup, Australia
2Macquarie University, Department of Psychology, Sydney, Australia
3The University of Melbourne, The Florey Institute of Neuroscience and Mental Health, Parkville, Australia
4Austin Health, Department of Molecular Imaging & Therapy- Centre for PET, Heidelberg, Australia
5Curtin University, School of Biomedical Sciences- Faculty of Health Sciences- Curtin Health Innovation Research Institute, Bentley, Australia
6CSIRO Health and Biosecurity, eHealth, Floreat, Australia