Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/28958
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dc.contributor.authorKoncz, Rebecca-
dc.contributor.authorThalamuthu, Anbupalam-
dc.contributor.authorWen, Wei-
dc.contributor.authorCatts, Vibeke S-
dc.contributor.authorDoré, Vincent-
dc.contributor.authorLee, Teresa-
dc.contributor.authorMather, Karen A-
dc.contributor.authorSlavin, Melissa J-
dc.contributor.authorWegner, Eva A-
dc.contributor.authorJiang, Jiyang-
dc.contributor.authorTrollor, Julian N-
dc.contributor.authorAmes, David-
dc.contributor.authorVillemagne, Victor L-
dc.contributor.authorRowe, Christopher C-
dc.contributor.authorSachdev, Perminder S-
dc.date2021-12-17-
dc.date.accessioned2022-03-23T05:11:16Z-
dc.date.available2022-03-23T05:11:16Z-
dc.date.issued2022-03-
dc.identifier.citationJournal of neurology, neurosurgery, and psychiatry 2022; 93(3): 303-308en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/28958-
dc.description.abstractTo determine the proportional genetic contribution to the variability of cerebral β-amyloid load in older adults using the classic twin design. Participants (n=206) comprising 61 monozygotic (MZ) twin pairs (68 (55.74%) females; mean age (SD): 71.98 (6.43) years), and 42 dizygotic (DZ) twin pairs (56 (66.67%) females; mean age: 71.14 (5.15) years) were drawn from the Older Australian Twins Study. Participants underwent detailed clinical and neuropsychological evaluations, as well as MRI, diffusion tensor imaging (DTI) and amyloid PET scans. Fifty-eight participants (17 MZ pairs, 12 DZ pairs) had PET scans with 11Carbon-Pittsburgh Compound B, and 148 participants (44 MZ pairs, 30 DZ pairs) with 18Fluorine-NAV4694. Cortical amyloid burden was quantified using the centiloid scale globally, as well as the standardised uptake value ratio (SUVR) globally and in specific brain regions. Small vessel disease (SVD) was quantified using total white matter hyperintensity volume on MRI, and peak width of skeletonised mean diffusivity on DTI. Heritability (h 2) and genetic correlations were measured with structural equation modelling under the best fit model, controlling for age, sex, tracer and scanner. The heritability of global amyloid burden was moderate (0.41 using SUVR; 0.52 using the centiloid scale) and ranged from 0.20 to 0.54 across different brain regions. There were no significant genetic or environmental correlations between global amyloid burden and markers of SVD. Amyloid deposition, the hallmark early feature of Alzheimer's disease, is under moderate genetic influence, suggesting a major environmental contribution that may be amenable to intervention.en
dc.language.isoeng
dc.subjectamyloiden
dc.subjectcerebrovascular diseaseen
dc.subjectgeneticsen
dc.titleThe heritability of amyloid burden in older adults: the Older Australian Twins Study.en
dc.typeJournal Articleen
dc.identifier.journaltitleJournal of neurology, neurosurgery, and psychiatryen
dc.identifier.affiliationCentre for Healthy Brain Ageing, School of Psychiatry, UNSW Sydney, Sydney, New South Wales, Australia..en
dc.identifier.affiliationThe Florey Institute of Neuroscience and Mental Healthen
dc.identifier.affiliationMedicine (University of Melbourne)en
dc.identifier.affiliationNational Ageing Research Institute, Parkville, Victoria, Australia..en
dc.identifier.affiliationAcademic Unit for Psychiatry of Old Age, University of Melbourne, Kew, Victoria, Australia..en
dc.identifier.affiliationDepartment of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW Sydney, Sydney, New South Wales, Australia..en
dc.identifier.affiliationPrince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia..en
dc.identifier.affiliationDepartment of Nuclear Medicine and PET, Prince of Wales Hospital, Randwick, New South Wales, Australia..en
dc.identifier.affiliationNeuroscience Research Australia, Randwick, New South Wales, Australia..en
dc.identifier.affiliationNeuropsychiatric Institute, Prince of Wales Hospital, Randwick, New South Wales, Australia..en
dc.identifier.affiliationThe Australian e-Health Research Centre, CSIRO Health and Biosecurity, Parkville, Victoria, Australia..en
dc.identifier.affiliationMolecular Imaging and Therapyen
dc.identifier.affiliationSpecialty of Psychiatry, Faculty of Medicine and Health, The University of Sydney, Concord, New South Wales, Australia..en
dc.identifier.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/34921119/en
dc.identifier.doi10.1136/jnnp-2021-326677en
dc.type.contentTexten
dc.identifier.orcid0000-0002-1412-1423en
dc.identifier.orcid0000-0002-9595-3220en
dc.identifier.orcid0000-0002-8051-0558en
dc.identifier.orcid0000-0002-5832-9875en
dc.identifier.orcid0000-0003-3910-2453en
dc.identifier.pubmedid34921119
local.name.researcherDoré, Vincent
item.openairetypeJournal Article-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.deptMolecular Imaging and Therapy-
crisitem.author.deptMolecular Imaging and Therapy-
crisitem.author.deptMolecular Imaging and Therapy-
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