Evidence map›Paper›PMID 41044651›Full record

ArticleClinical epigenetics2025

Exploring causal relationships between epigenetic age acceleration and Alzheimer's disease: a bidirectional Mendelian randomization study.

Hongwei Liu, Zhaoxu Yin, Xuan Chen, Zhijun Wang

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In one paragraph

Article in Clinical epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hongwei LiuDepartment of Neurology, Taiyuan Central Hospital, Taiyuan, Shanxi Province, China.
Zhaoxu YinDepartment of Neurology, Taiyuan Central Hospital, Taiyuan, Shanxi Province, China.
Xuan ChenDepartment of Neurology, Taiyuan Central Hospital, Taiyuan, Shanxi Province, China.
Zhijun WangDepartment of Neurology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, No.99, Longcheng Street, Taiyuan, 030000, Shanxi Province, China. 13623418033@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is identified by a distinct progression of aging-associated cognitive and functional impairment. Recent advances recognize the DNA methylation-based epigenetic clock as a precise predictor of aging processes and their related health outcomes. However, observational studies exploring this link are often compromised by confounding factors and reverse causality bias. To address the question, our study employs a bidirectional Mendelian randomization (MR) analysis to explore the causal relationship between epigenetic age acceleration (EAA) and AD.

methodsGenome-wide association study (GWAS) statistics for epigenetic clocks (GrimAge, PhenoAge, HorvathAge, and HannumAge) were sourced from Edinburgh DataShare and the Alzheimer Disease Genetics Consortium (ADGC). The dataset comprised 63,926 participants, and among them, 21,982 cases were AD patients and 41,944 were controls. The primary analytical method for the MR was the inverse variance weighted (IVW). The potential pleiotropy and heterogeneity among the instrumental variables were evaluated by additional sensitivity analyses.

resultsEmploying the random-effects IVW approach, we found that, as indicated by GrimAge, EAA was associated with an increased risk of AD (Odds Ratio [OR] = 1.025, 95% Confidence Interval [CI]: 1.006-1.044, p = 0.009). Quality control assessments confirmed the reliability and robustness of our findings. However, the evidence did not support a causal relationship between AD and epigenetic aging in the reverse direction.

conclusionsOur MR study indicates a positive causal relationship between EAA and AD. Further research is necessary to explore the underlying physiological mechanisms.

Indexed as

AgingAlzheimer DiseaseEpigenesis, GeneticMendelian Randomization AnalysisAgedDNA MethylationFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleAlzheimer’s diseaseEpigenetic age accelerationEpigenetic clocksGenome wide association studyMendelian randomization

Identifiers

PMID41044651
PMCPMC12495807

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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 Socratic graph.