使用口腔甲基组数据创建可解释的衰老时钟以及对生活方式和人口因素的分类器和回归器
Maxim N Shokhirev1, Adiv A Johnson1
1Tally Health, New York, NY, United States.
Frontiers in genetics
|October 17, 2025
概括
在口腔抽样中DNA甲基化可以预测吸烟状况,种族/种族,体重指数,酒精摄入量和年龄. 这突显了脸细胞DNA对表观遗传预测的有用性.
科学领域:
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 基因组学就是基因组学.
- 生物技术是生物技术.
背景情况:
- 血液中的DNA甲基化预测吸烟状况,酒精摄入量和年龄.
- 对这些变量在口腔组织中DNA甲基化的预测潜力不太了解.
研究的目的:
- 为了确定口腔抽样中的DNA甲基化是否可以预测吸烟状态,种族/种族,体重指数,酒精摄入量和时间表年龄.
- 探索深度学习模型以进行可解释的表观遗传预测.
主要方法:
- 分析了8045名成年人 (18-93岁) 的口腔甲基组数据.
- 开发吸烟状态和种族/种族的分类器.
- 为体重指数,酒精摄入量和时间表年龄创建回归器.
- 确定关键的CpG和生物通路和转录因子的丰富分析.
- 对表观遗传衰老时钟的深度学习架构的探索.
主要成果:
- 从口腔DNA甲基化成功构建了吸烟状况和种族/种族的预测模型.
- 开发了新的体重指数,酒精摄入量和时间学年龄的回归器.
- 确定了每个模型的1000个重要的CpG,并将它们与生物途径和转录因子联系起来.
- 证明了可解释的深度学习模型的概念证明,将DNA甲基化与年龄估计的途径和转录因子连接起来.
结论:
- 嘴巴DNA甲基化数据非常适用于预测各种个人属性.
- 来自口腔抹布的表观遗传预测提供了一种非侵入性和多功能的方法.
- 深度学习模型提高了表观遗传年龄估计的解释性.
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