Ranking the risk factors for Alzheimer’s disease; findings from the UK Biobank study
Open accessAbstract
Background: The cause of the most common form of dementia, sporadic Alzheimer’s disease (AD), remains unknown. This may reflect insufficiently powered studies to date for this multi-factorial disorder. The UK Biobank dataset presents a unique opportunity to rank known risk factors and determine novel variables. Methods: A custom machine learning approach for high dimensionality data was applied to explore prospectively associations between AD in a sub-cohort of 156,209 UK Biobank participants aged 60-70 including more than 2,090 who were subsequently diagnosed with AD. Results: After the possession of the APOE4 allele, the next highest ranked risk factors were other genetic variants within the TOMM40-APOE-APOC1 locus. When stratified by their apolipoprotein [[EQUATION]] 4 (APOE4) carrier status, the most prominent risk factors in carriers were AST:ALT ratio, the 'number of treatments/ medications' taken as well as 'time spent in hospital' while protection was conferred by 'Sleeplessness/Insomnia'. In non-carriers, lower socioeconomic status and fewer years of education were highly ranked but effect sizes were small relative to APOE4 carriers. Conclusions: Possession of the APOE4 allele was confirmed as the most important risk factor in AD. Other TOMM40-APOE-APOC1 locus variants further moderate the risk of AD in APOE4 carriers. Liver pathology is a novel risk factor in APOE4 carriers while 'Sleeplessness/Insomnia' is protective in AD irrespective of APOE4 status. Other factors such as 'Number of treatments/ medications' suggest that multimorbidity is an important risk factor for AD. Future treatments aimed at co-morbidities, including liver disease, may concomitantly lower the risk of sporadic AD. Funding Information: This work was supported through the Australian National Health & Medical Research Council (NHMRC)” to [BG]” (APP1163249) and “to [RIL]” (APP1149987), and a University of Sydney SOAR Fellowship “to [GS]”. The Authors also acknowledge the generous philanthropic support of ‘Eve’ (2019 Sydney to Hobart yacht race) supporters [GTS]. Declaration of Interests: BG is a director of Pacific Analytics PTY LTD & SMRTR PTY LTD, Australia, a founding member of the International Cerebral Palsy Genetics Consortium, and a member of the Australian Genomics Health Alliance. All other Authors declare no conflict of interests. Ethics Approval Statement: The research has been conducted using the UK Biobank Resource under Application Number 49777. UK Biobank has approval from the North West Multi-centre Research Ethics Committee (MREC) as a Research Tissue Bank (RTB) approval.
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Covariates were selected based on their known associations with Alzheimer Disease in the UK Biobank cohort.
“Covariates were selected based on their known associations with Alzheimer Disease in the UKB cohort.”
From TET2-mutant myeloid cells mitigate Alzheimer’s disease progression via CNS infiltration and enhanced phagocytosis in mice (2025) · cites this paper as [77]
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Cited by 1
- Authors
- Allwright, M., Mundell, H. D., McCorkindale, A. N., Lindley, R. I., Austin, P. J., Guennewig, B., & Sutherland, G.
- Affiliations
- The University of Sydney (AU)
- Corresponding author
- Sutherland, Greg
- ORCID
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2022
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W4313355818
- Cited by
- 1
- References
- 0
- Citations by year
- 2024: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- Alzheimer's disease, sporadic Alzheimer's disease, risk factors, APOE ε4, genetic variants, liver disease, AST/ALT ratio, multimorbidity, polypharmacy, insomnia, socioeconomic status, educational attainment, dementia, UK Biobank, high-dimensional data, older adults
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