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dc.contributor.authorMilicic, Lidija-
dc.contributor.authorVacher, Michael-
dc.contributor.authorPorter, Tenielle-
dc.contributor.authorDoré, Vincent-
dc.contributor.authorBurnham, Samantha C-
dc.contributor.authorBourgeat, Pierrick-
dc.contributor.authorShishegar, Rosita-
dc.contributor.authorDoecke, James-
dc.contributor.authorArmstrong, Nicola J-
dc.contributor.authorTankard, Rick-
dc.contributor.authorMaruff, Paul-
dc.contributor.authorMasters, Colin L-
dc.contributor.authorRowe, Christopher C-
dc.contributor.authorVillemagne, Victor L-
dc.contributor.authorLaws, Simon M-
dc.identifier.citationGeroScience 2022; 44(3): 1807-1823en
dc.description.abstractThe concept of age acceleration, the difference between biological age and chronological age, is of growing interest, particularly with respect to age-related disorders, such as Alzheimer's Disease (AD). Whilst studies have reported associations with AD risk and related phenotypes, there remains a lack of consensus on these associations. Here we aimed to comprehensively investigate the relationship between five recognised measures of age acceleration, based on DNA methylation patterns (DNAm age), and cross-sectional and longitudinal cognition and AD-related neuroimaging phenotypes (volumetric MRI and Amyloid-β PET) in the Australian Imaging, Biomarkers and Lifestyle (AIBL) and the Alzheimer's Disease Neuroimaging Initiative (ADNI). Significant associations were observed between age acceleration using the Hannum epigenetic clock and cross-sectional hippocampal volume in AIBL and replicated in ADNI. In AIBL, several other findings were observed cross-sectionally, including a significant association between hippocampal volume and the Hannum and Phenoage epigenetic clocks. Further, significant associations were also observed between hippocampal volume and the Zhang and Phenoage epigenetic clocks within Amyloid-β positive individuals. However, these were not validated within the ADNI cohort. No associations between age acceleration and other Alzheimer's disease-related phenotypes, including measures of cognition or brain Amyloid-β burden, were observed, and there was no association with longitudinal change in any phenotype. This study presents a link between age acceleration, as determined using DNA methylation, and hippocampal volume that was statistically significant across two highly characterised cohorts. The results presented in this study contribute to a growing literature that supports the role of epigenetic modifications in ageing and AD-related phenotypes.en
dc.subjectAlzheimer’s diseaseen
dc.subjectDNA methylationen
dc.subjectHippocampal volumeen
dc.titleComprehensive analysis of epigenetic clocks reveals associations between disproportionate biological ageing and hippocampal volume.en
dc.typeJournal Articleen
dc.identifier.affiliationMolecular Imaging and Therapyen
dc.identifier.affiliationThe Florey Institute of Neuroscience and Mental Healthen
dc.identifier.affiliationSchool of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australiaen
dc.identifier.affiliationDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USAen
dc.identifier.affiliationAustralian E-Health Research Centre, CSIRO, Herston, Queensland, 4029, Australiaen
dc.identifier.affiliationCentre for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, Western Australia, 6027, Australiaen
dc.identifier.affiliationAustralian E-Health Research Centre, CSIRO, Parkville, Victoria, 3052, Australiaen
dc.identifier.affiliationCollaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australiaen
dc.identifier.affiliationSchool of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, 6102, Australiaen
dc.identifier.affiliationThe University of Melbourne, Parkville, VIC, Australiaen
dc.identifier.affiliationCogstate Ltd, Melbourne, VIC, Australiaen
dc.identifier.affiliationDepartment of Mathematics and Statistics, Curtin University, Bentley, Western Australia, Australiaen
dc.identifier.affiliationSchool of Mathematics and Statistics, Murdoch University, Perth, Western Australiaen
dc.identifier.affiliationCSIRO Health and Biosecurity, Australian E-Health Research Centre, Floreat, Western Australia, 6014, Australiaen
dc.identifier.pubmedid35445885-é, Vincent
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.languageiso639-1en- Imaging and Therapy- Florey Institute of Neuroscience and Mental Health- Imaging and Therapy- Imaging and Therapy-
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