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Published on: November 14, 2017
Cardiovascular Disease Subtypes and Alzheimer's Disease: Phenotypic and Genetic Associations in the UK Biobank and
Aili Toyli1, Chen Zhao2, Kuan-Jui Su3
1Department of Mathematical Sciences Michigan Technological University Houghton MI USA.
Insights
Cardiovascular disease (CVD) subtypes, particularly hypotension, are linked to Alzheimer's disease (AD). This study highlights shared genetic factors and the importance of vascular health in cognitive decline.
Area of Science:
- Neuroscience
- Cardiology
- Genetics
Background:
- Cardiovascular disease (CVD) and Alzheimer's disease (AD) are significant public health issues with shared risk factors.
- The precise relationship between AD and specific CVD subtypes requires further investigation.
Purpose of the Study:
- To examine the associations between AD and 11 CVD subtypes using large biobank data.
- To explore the genetic overlap between AD and CVD traits.
Main Methods:
- Cross-sectional analysis of 2 large biobanks (UK Biobank and All of Us).
- Logistic regression models adjusted for covariates.
- Proximity-based analysis of significant single nucleotide variants from GWAS data.
Main Results:
- Most CVD subtypes showed significant associations with AD.
- Hypotension demonstrated the strongest and most consistent association with AD.
- Hypertension, cerebral infarction, and shared genetic loci near APOE and MAPT were also identified.
Conclusions:
- Subtype-specific CVD associations with AD were identified across diverse populations.
- Shared genetic architecture underlies heart-brain interactions.
- Vascular health is crucial for AD risk, with underrecognized roles for certain CVD subtypes like hypotension.
Background:
Cardiovascular disease (CVD) and Alzheimer's disease (AD) are major public health concerns that share overlapping risk factors and potential mechanistic pathways. Although vascular contributions to cognitive decline are well documented, the specific relationships between AD and different CVD subtypes remain poorly understood.
Methods:
In this cross-sectional study, we examined associations between AD and 11 CVD subtypes using logistic regression models in 2 large biobanks: the UK Biobank (n=502 133) and the All of Us Research Program (n=287 011). Models were adjusted for demographic, lifestyle, and clinical covariates. We also explored genetic overlap between AD and CVD traits through proximity-based analysis of significant single nucleotide variants (P<5 × 10-8) using genome-wide association study data.
Results:
Most CVD subtypes were significantly associated with AD in both cohorts. Hypotension had the strongest and most consistent association, although it has been comparatively understudied in AD research. Strong associations were also consistently observed between AD and hypertension and cerebral infarction. Notably, acute myocardial infarction was not significantly linked to AD. Genetic analyses revealed shared loci between AD- and CVD-related traits, particularly in regions near APOE, MAPT, and genes influencing myocardial structure and vascular function.
Conclusions:
This study identifies subtype-specific CVD associations with AD across 2 diverse cohorts and highlights shared genetic architecture underlying heart-brain interactions. These findings underscore the importance of vascular health in AD risk and suggest that certain CVD subtypes, especially hypotension, may play underrecognized roles in cognitive decline.
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