Journal article

Utility of an Alzheimer's Disease Risk-Weighted Polygenic Risk Score for Predicting Rates of Cognitive Decline in Preclinical Alzheimer's Disease: A Prospective Longitudinal Study

Tenielle Porter, Samantha C Burnham, Lidija Milicic, Greg Savage, Paul Maruff, Yen Ying Lim, Qiao-Xin Li, David Ames, Colin L Masters, Stephanie Rainey-Smith, Christopher C Rowe, Olivier Salvado, David Groth, Giuseppe Verdile, Victor L Villemagne, Simon M Laws

Journal of Alzheimer's Disease | IOS PRESS | Published : 2018


Awarded by Cooperative Research Centre (CRC) for Mental Health, an Australian Government Initiative

Funding Acknowledgements

Funding for the AIBL study was provided in part by the study partners [Commonwealth Scientific Industrial and research Organization (CSIRO), Edith Cowan University (ECU), Mental Health Research institute (MHRI), National Ageing Research Institute (NARI), Austin Health, CogState Ltd.]. The AIBL study has also received support from the National Health and Medical Research Council (NHMRC) and the Dementia Collaborative Research Centres program (DCRC2), as well as funding from the Science and Industry Endowment Fund (SIEF) and the Cooperative Research Centre (CRC) for Mental Health (Grant ID: 20100104), an Australian Government Initiative. We thank all those who took part as subjects in the study for their commitment and dedication to helping advance research into the early detection and causation of AD. We kindly thank all AIBL Research Group members ( All data and samples used in this study are derived from the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study of Ageing. AIBL data can be accessed through an Expression of Interest procedure, for more information please see