Yang Xinlei, Wei Guojun, Fan Yu, Gao Han, Bao Shengxin, Sun Xiaobo, Sun Jiming, Du Yiran
Tumor Treatment Center, Affiliated Hospital of Beihua University, Jilin City, Jilin, People's Republic of China.
Oncology Department 5, The Second People's Hospital of Jilin City, Jilin City, Jilin, People's Republic of China.
J Multidiscip Healthc. 2025 Apr 7;18:1913-1921. doi: 10.2147/JMDH.S503539. eCollection 2025.
To investigate the potential causal relationship between DNA methylation GrimAge acceleration (GAA) and brain tumor incidence using a two-sample Mendelian randomization (MR) approach.
We leveraged publicly available genome-wide association study (GWAS) summary data for GAA (34,467 participants) and brain tumor incidence (491,542 participants). Twenty-six single nucleotide polymorphisms (SNPs) served as instrumental variables for GAA. Inverse variance weighted (IVW) was the primary method, complemented by MR-Egger, weighted median, simple mode, and weighted mode. Sensitivity analyses tested heterogeneity and pleiotropy.
The IVW analysis indicated no significant causal effect of GAA on brain tumor risk (β = -0.006, p = 0.908). Other MR methods concurred. Sensitivity checks, including heterogeneity and MR-Egger intercept tests, supported these null findings.
Our results do not support a causal association between GrimAge acceleration and brain tumor incidence. Accelerated epigenetic aging, as measured by GAA, may not be a direct driver of brain tumor risk. Further investigations should explore other epigenetic or genetic factors implicated in brain tumor etiology.
采用两样本孟德尔随机化(MR)方法研究DNA甲基化GrimAge加速(GAA)与脑肿瘤发病率之间的潜在因果关系。
我们利用公开可用的全基因组关联研究(GWAS)汇总数据,分别涉及GAA(34467名参与者)和脑肿瘤发病率(491542名参与者)。26个单核苷酸多态性(SNP)作为GAA的工具变量。逆方差加权(IVW)是主要方法,辅以MR-Egger、加权中位数、简单模式和加权模式。敏感性分析测试了异质性和多效性。
IVW分析表明,GAA对脑肿瘤风险无显著因果效应(β = -0.006,p = 0.908)。其他MR方法结果一致。包括异质性和MR-Egger截距检验在内的敏感性检查支持了这些阴性结果。
我们的结果不支持GrimAge加速与脑肿瘤发病率之间存在因果关联。通过GAA测量的表观遗传衰老加速可能不是脑肿瘤风险的直接驱动因素。进一步的研究应探索其他与脑肿瘤病因相关的表观遗传或遗传因素。