Evidence map›Paper›PMID 42267709›Full record

ArticleJournal of the American Heart Association2026

Cardiovascular Disease Subtypes and Alzheimer's Disease: Phenotypic and Genetic Associations in the UK Biobank and All of Us Research Program.

Aili Toyli, Chen Zhao, Kuan-Jui Su, Hui Shen, Hong-Wen Deng, Qing-Hui Chen, Qiuying Sha, Weihua Zhou

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Aili ToyliDepartment of Mathematical Sciences Michigan Technological University Houghton MI USA.
Chen ZhaoDepartment of Computer Science Kennesaw State University Marietta GA USA.ORCID 0000-0002-5782-3329
Kuan-Jui SuDivision of Biomedical Informatics and Genomics, Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine Tulane University New Orleans LA USA.
Hui ShenDivision of Biomedical Informatics and Genomics, Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine Tulane University New Orleans LA USA.ORCID 0000-0003-0335-6064
Hong-Wen DengDivision of Biomedical Informatics and Genomics, Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine Tulane University New Orleans LA USA.ORCID 0000-0002-0387-8818
Qing-Hui ChenDepartment of Kinesiology and Integrative Physiology Michigan Technological University Houghton MI USA.ORCID 0000-0002-1639-5292
Qiuying ShaDepartment of Mathematical Sciences Michigan Technological University Houghton MI USA.ORCID 0000-0002-9342-3269
Weihua ZhouDepartment of Applied Computing Michigan Technological University Houghton MI USA.ORCID 0000-0002-6039-959X

Funding

Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI Qi Zhao · 2017 to 2026
$24.3M
Integrative analysis of electrical and mechanical dyssynchrony to improve cardiac resynchronization therapyR15HL173852 · NHLBI · MICHIGAN TECHNOLOGICAL UNIVERSITY · PI SHA, QIUYING · 2024 to 2024
$429k
Multi-modality Image Fusion to Improve Coronary Revascularization in Patients with Stable Coronary Artery DiseaseR15HL172198 · NHLBI · MICHIGAN TECHNOLOGICAL UNIVERSITY · PI ZHOU, WEIHUA · 2024 to 2024
$427k
NHLBI NIH HHS R15 HL172198NHLBI NIH HHS R15 HL173852NIA NIH HHS U19 AG055373
6 · The paper itself

Abstract

backgroundCardiovascular 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.

methodsIn 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 (

resultsMost 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

conclusionsThis 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.

Indexed as

Alzheimer DiseaseCardiovascular DiseasesAgedBiological Specimen BanksCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotideRisk FactorsUK BiobankUnited KingdomAlzheimer's diseasecardiovascular diseasecerebral infarctionheart–brain axishypotension

Identifiers

PMID42267709
PMCPMC13323167

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.