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Background <p>Alzheimer’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.</p> Methods <p>Genome-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.</p> Results <p>Employing 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, <i>p</i> = 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.</p> Conclusions <p>Our MR study indicates a positive causal relationship between EAA and AD. Further research is necessary to explore the underlying physiological mechanisms.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月3日

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  • Hongwei Liu,
  • Zhaoxu Yin,
  • Xuan Chen,
  • Zhijun Wang

摘要

Background

Alzheimer’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.

Methods

Genome-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.

Results

Employing 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.

Conclusions

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