| Application: | 37103, Risk Factors and Health Consequences of Cerebral White Matter Hyperintensity |
| Title: | Associations between Alzheimer's disease polygenic risk scores and hippocampal subfield volumes in 17,161 UK Biobank participants |
| Size: | 599984 B |
| Archived: | 10 May 2021 |
| Stability: | Updateable |
| Personal: | Contains individual-level data |
Return 3399
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Notes
Hippocampal volume is an important biomarker of Alzheimer s disease (AD), and genetic risk of AD is associated with hippocampal atrophy. However, the hippocampus is not a uniform structure and has a number of subfields, the associations of which with age, sex, and polygenic risk score for AD (PRSAD) have been inadequately investigated. We examined these associations in 17,161 cognitively normal UK Biobank participants (44 80 years). Age was negatively associated with all the hippocampal subfield volumes and females had smaller volumes than men. Higher PRSAD was associated with lower volumes in the bilateral whole hippocampus, hippocampal-amygdala-transition-area, and hippocampal tail; right subiculum; left cornu ammonis 1, cornu ammonis 4, molecular layer, and granule cell layer of dentate gyrus. Older individuals (median age 63 years, n = 8984) showed greater subfield vulnerability to high PRSAD compared to the younger group (n = 8177), but the effect did not differ by sex. The pattern of subfield involvement in relation to the PRSAD in community dwelling healthy individuals sheds additional light on the pathogenesis of AD.Application 37103
Risk Factors and Health Consequences of Cerebral White Matter Hyperintensity
White matter hyperintensity (WMH) as observed in T2-weighted MRI scan is considered as pathologies related to cerebrovascular disease which is a leading cause of morbidity and mortality with manifold clinical consequences including stroke, depression and various neuropsychiatric symptoms. Our focus is on the association of WMH with clinical data, cognitive disorders, including dementia and genetics. WMH is markedly pleomorphic. There is an unmet need to better quantify WMH burden and relate it to clinical data, cognition, and genetics. Recent advances in MRI allow the imaging and quantification of different forms of WMH. Our research aim is to investigate and identify the risk factors for WMH; and examine the associations between WMH and health outcomes.
| Lead investigator: | Professor Wei Wen |
| Lead institution: | University of New South Wales |
1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 3400 | Associations between Alzheimer's disease polygenic risk scores and hippocampal subfield volumes in 17,161 UK Biobank participants | Heidi Foo (+6) | 2020 | Neurobiology of Aging |
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