对DNA甲基化的纵向预测,以预测表观遗传结果
Arthur Leroy1, Ai Ling Teh2, Frank Dondelinger3
1Department of Computer Science, The University of Manchester, Manchester, United Kingdom; Department of Computer Science, The University of Sheffield, Sheffield, United Kingdom.
EBioMedicine
|April 23, 2025
概括
机器学习使用早期生命数据预测儿童的DNA甲基化和表观遗传年龄. 这种方法可以预测未来的健康结果,而不需要新的生物样本.
科学领域:
- 发育表观遗传学 发育表观遗传学
- 计算生物学是一种计算生物学.
- 儿科卫生健康 儿科卫生健康
背景情况:
- 早期的表观遗传变化会影响儿童的健康状况.
- 纵向DNA甲基化追踪有助于了解衰老和疾病,但生物样本的可用性是一个局限性.
研究的目的:
- 开发一个机器学习框架来预测DNA甲基化状态随时间推移.
- 预测未来的表观遗传年龄,并使健康结果的关联.
主要方法:
- 开发了一个使用多媒介高斯过程的概率机器学习框架.
- 该模型解释了个人和基因的时间相关性.
- 预测的甲基化值被用来计算未来的表观遗传年龄.
主要成果:
- 该方法准确地预测了儿童 (5-7岁) 在多个基因组位点的甲基化状态,从早期的数据 (0-4岁) 中得出预测.
- 大约95%的甲基化部位显示观察值和预测值之间的差异不到10%.
- 预测的甲基化概况使得可以估计表观遗传年龄和与健康结果的关联测试.
结论:
- 有限的纵向DNA甲基化数据与机器学习相结合,可以预测表观遗传衰老.
- 这种方法有助于预测儿童未来的健康状况.
相关概念视频
01:46Epigenetic Regulation
Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
01:46Epigenetic Regulation
Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
01:37Epigenetic Regulation
Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
X-chromosome...
X-chromosome...