Jagiellonian University Medical College, Faculty of Medicine, Department of Forensic Medicine, Grzegórzecka 16, 31-531, Krakow, Poland.
Institute of Legal Medicine, Medical University of Innsbruck, Muellerstrasse 44, 6020, Innsbruck, Austria.
Int J Legal Med. 2021 Nov;135(6):2209-2219. doi: 10.1007/s00414-021-02665-1. Epub 2021 Aug 18.
DNA methylation-based clocks provide the most accurate age estimates with practical implications for clinical and forensic genetics. However, the effects of external factors that may influence the estimates are poorly studied. Here, we evaluated the effect of alcohol consumption on epigenetic age prediction in a cohort of extreme alcohol abusers. Blood samples from deceased alcohol abusers and age- and sex-matched controls were analyzed using the VISAGE enhanced tool for age prediction from somatic tissues that enables examination of 44 CpGs within eight age markers. Significantly altered DNA methylation was recorded for alcohol abusers in MIR29B2CHG. This resulted in a mean predicted age of 1.4 years higher compared to the controls and this trend increased in older individuals. The association of alcohol abuse with epigenetic age acceleration, as determined by the prediction analysis performed based on MIR29B2CHG, was small but significant (β = 0.190; P-value = 0.007). However, the observed alteration in DNA methylation of MIR29B2CHG had a non-significant effect on age estimation with the VISAGE age prediction model. The mean absolute error in the alcohol-abusing cohort was 3.1 years, compared to 3.3 years in the control group. At the same time, upregulation of MIR29B2CHG expression may have a biological function, which merits further studies.
基于 DNA 甲基化的时钟提供了最准确的年龄估计,对临床和法医遗传学具有实际意义。然而,影响这些估计的外部因素的影响研究甚少。在这里,我们评估了饮酒对极端酗酒者队列中表观年龄预测的影响。使用 VISAGE 增强工具分析了来自已故酗酒者和年龄及性别匹配对照者的血液样本,该工具可用于检查 8 个年龄标志物中的 44 个 CpG。在 MIR29B2CHG 中,酗酒者的 DNA 甲基化发生了明显改变。与对照组相比,这导致预测年龄平均高出 1.4 岁,而且这种趋势在年龄较大的个体中增加。基于 MIR29B2CHG 进行的预测分析,确定了酒精滥用与表观年龄加速之间的关联虽小但显著(β=0.190;P 值=0.007)。然而,观察到的 MIR29B2CHG 的 DNA 甲基化改变对 VISAGE 年龄预测模型的年龄估计没有显著影响。在酗酒者组中的平均绝对误差为 3.1 岁,而对照组为 3.3 岁。同时,MIR29B2CHG 表达的上调可能具有生物学功能,值得进一步研究。