Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/19849
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dc.contributor.authorPorter, Tenielle-
dc.contributor.authorBurnham, Samantha C-
dc.contributor.authorMilicic, Lidija-
dc.contributor.authorSavage, Greg-
dc.contributor.authorMaruff, Paul-
dc.contributor.authorLim, Yen Ying-
dc.contributor.authorLi, Qiao-Xin-
dc.contributor.authorAmes, David-
dc.contributor.authorMasters, Colin L-
dc.contributor.authorRainey-Smith, Stephanie R-
dc.contributor.authorRowe, Christopher C-
dc.contributor.authorSalvado, Olivier-
dc.contributor.authorGroth, David-
dc.contributor.authorVerdile, Giuseppe-
dc.contributor.authorVillemagne, Victor L-
dc.contributor.authorLaws, Simon M-
dc.date2018-11-08-
dc.date.accessioned2018-11-26T00:51:11Z-
dc.date.available2018-11-26T00:51:11Z-
dc.date.issued2018-11-08-
dc.identifier.citationJournal of Alzheimer's disease : JAD 2018; 66(3): 1193-1211en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/19849-
dc.description.abstractWith the exception of APOE, genetic variants associated with increased Alzheimer's disease (AD) risk are characterized by small effect sizes. Polygenic risk scores (PRS) have shown utility in predicting AD risk; however, their utility for predicting decline in cognition at preclinical stages of AD is poorly understood. To validate associations of a 22-variant AD-risk-weighted PRS with AD risk and related biomarkers and to assess its utility to predict cognitive decline. The PRS was evaluated with respect to brain amyloid-β (Aβ) burden, cerebrospinal fluid (CSF) Aβ42, total-tau, and phospho-tau, and decline in cognition in 643 (570 cognitively normal (CN), 73 AD) PET-imaged participants from the longitudinal Australian Imaging, Biomarkers and Lifestyle (AIBL) Study of Ageing. Cognition was assessed using three composite measures; global cognition, verbal episodic memory, and a Pre-Alzheimer's Cognitive Composite (PACC). PRS, both with and without APOE, were positively correlated with brain Aβ burden, CSF total-tau, and phospho-tau in CN older adults. Further, in CN biomarker positive (βhigh) participants, significant associations were observed with baseline and longitudinal cognition. However, this association was not observed after the removal of APOE. Partitioning the PRS into quartiles revealed that the PRS associations with cognitive decline in βhigh CN older adults is due to a saturating effect of APOE genotype. An AD-risk-weighted PRS is associated with cognitive decline in CN older adults. However, this association is absent when APOE genotype is excluded from the PRS, suggesting that associations with cognitive decline in this model of polygenic risk are driven by APOE genotype alone. Further research is needed to define appropriate PRSs with greater utility for predicting preclinical AD cognitive decline.en
dc.language.isoeng-
dc.subjectAlzheimer’s diseaseen
dc.subjectamyloid-βen
dc.subjectcognitive declineen
dc.subjectepisodic memoryen
dc.subjectpolygenic risk scoresen
dc.titleUtility 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.en
dc.typeJournal Articleen
dc.identifier.journaltitleJournal of Alzheimer's disease : JADen
dc.identifier.affiliationDepartment of Medicine, Austin Health, The University of Melbourne, Heidelberg, VIC, Australiaen
dc.identifier.affiliationSchool of Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australiaen
dc.identifier.affiliationCollaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australiaen
dc.identifier.affiliationCo-operative Research Centre for Mental Health,en
dc.identifier.affiliationeHealth, CSIRO Health and Biosecurity, Parkville, VIC, Australiaen
dc.identifier.affiliationCentre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australiaen
dc.identifier.affiliationDepartment of Psychology, ARC Centre of Excellence in Cognition and its Disorders, Macquarie University, NSW, Australiaen
dc.identifier.affiliationThe Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australiaen
dc.identifier.affiliationCogState Ltd., Melbourne, VIC, Australiaen
dc.identifier.affiliationAcademic Unit for Psychiatry of Old Age, St. Vincent's Health, The University of Melbourne, Kew, VIC, Australiaen
dc.identifier.affiliationNational Ageing Research Institute, Parkville, VIC, Australiaen
dc.identifier.affiliationDepartment of Molecular Imaging and Therapy, Centre for PET, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.doi10.3233/JAD-180713en
dc.type.contentTexten
dc.identifier.orcid0000-0003-3910-2453en
dc.identifier.pubmedid30412495-
dc.type.austinJournal Article-
local.name.researcherMasters, Colin L
item.openairetypeJournal Article-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.deptThe Florey Institute of Neuroscience and Mental Health-
crisitem.author.deptMolecular Imaging and Therapy-
crisitem.author.deptMolecular Imaging and Therapy-
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