Department of Information Technology, UIET, Panjab University, Chandigarh 160014, UT, India.
Department of Neurology, Post Graduate Institute of Medical Education and Research(PGIMER), Chandigarh 160012, UT, India.
Mech Ageing Dev. 2017 Sep;166:33-41. doi: 10.1016/j.mad.2017.08.012. Epub 2017 Aug 24.
DNA methylation (DNAm) is a fundamental biochemical modification which occurs over the lifespan of an individual and it is a significant component in the aging process. Methylation level of CpG sites plays an important role in finding the age of a person. Different approaches were used to extract age-related CpG (AR-CpG) sites for developing age-prediction models because the level of methylation is directly related to age for some CpG sites. Several age prediction models have been developed over the past few years and most of these models were based on regression techniques. This paper reviews and analyzes age-prediction models developed using methylated data. The first section introduces the problem of aging in humans. In the next section, the concept of DNA methylation is described in detail. Thereafter, DNA methylation based age-prediction methods are discussed. In addition to this, a summary of all these methods is also provided. Finally, some limitations of the current research along with future directions are given.
DNA 甲基化（DNAm）是一种在个体生命周期中发生的基本生化修饰，是衰老过程中的重要组成部分。CpG 位点的甲基化水平在寻找个体年龄方面起着重要作用。由于某些 CpG 位点的甲基化水平与年龄直接相关，因此使用了不同的方法来提取与年龄相关的 CpG（AR-CpG）位点以开发年龄预测模型。在过去的几年中，已经开发了多种年龄预测模型，其中大多数模型都是基于回归技术。本文综述和分析了使用甲基化数据开发的年龄预测模型。第一节介绍了人类衰老的问题。下一节详细描述了 DNA 甲基化的概念。此后，讨论了基于 DNA 甲基化的年龄预测方法。除此之外，还提供了所有这些方法的总结。最后，给出了当前研究的一些局限性以及未来的方向。
