Considering the APOE locus in Alzheimer’s disease polygenic scores in the Health and Retirement Study: a longitudinal panel study
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1755-8794
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Considering the APOE locus in Alzheimer’s disease polygenic scores in the Health and Retirement Study: a longitudinal panel study ; volume:13 ; number:1 ; day:3 ; month:11 ; year:2020 ; pages:1-13 ; date:12.2020
BMC medical genomics ; 13, Heft 1 (3.11.2020), 1-13, 12.2020
- Creator
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Ware, Erin B.
Faul, Jessica D.
Mitchell, Colter M.
Bakulski, Kelly M.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12920-020-00815-9
- URN
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urn:nbn:de:101:1-2020121619010138228844
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:26 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ware, Erin B.
- Faul, Jessica D.
- Mitchell, Colter M.
- Bakulski, Kelly M.
- SpringerLink (Online service)
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Amyloid-β and APOE genotype predict memory decline in cognitively unimpaired older individuals independently of Alzheimer’s disease polygenic risk score
Serum proteomics reveal APOE-ε4-dependent and APOE-ε4-independent protein signatures in Alzheimer’s disease
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APOE ɛ4, but not polygenic Alzheimer’s disease risk, is related to longitudinal decrease in hippocampal brain activity in non-demented individuals
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Amyloid-β and APOE genotype predict memory decline in cognitively unimpaired older individuals independently of Alzheimer’s disease polygenic risk score
Serum proteomics reveal APOE-ε4-dependent and APOE-ε4-independent protein signatures in Alzheimer’s disease
Greater tau load and reduced cortical thickness in APOE ε4-negative Alzheimer’s disease: a cohort study
APOE ɛ4, but not polygenic Alzheimer’s disease risk, is related to longitudinal decrease in hippocampal brain activity in non-demented individuals
Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction
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