Epigenetic age prediction. Issue 9 (20th August 2021)

• Record Type: Journal Article
• Authors: Simpson, Daniel J.; Chandra, Tamir
• Is Part Of: Aging cell. Volume 20:Issue 9(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-08-20
• Subjects: ageing -- composite predictors -- epigenetic clocks -- minimised clocks -- mortality; Cells -- Aging -- Periodicals; 571.8783605
• DOI: 10.1111/acel.13452
• Languages: English
• ISSNs: 1474-9718

Abstract

Abstract: Advanced age is the main common risk factor for cancer, cardiovascular disease and neurodegeneration. Yet, more is known about the molecular basis of any of these groups of diseases than the changes that accompany ageing itself. Progress in molecular ageing research was slow because the tools predicting whether someone aged slowly or fast (biological age) were unreliable. To understand ageing as a risk factor for disease and to develop interventions, the molecular ageing field needed a quantitative measure; a clock for biological age. Over the past decade, a number of age predictors utilising DNA methylation have been developed, referred to as epigenetic clocks. While they appear to estimate biological age, it remains unclear whether the methylation changes used to train the clocks are a reflection of other underlying cellular or molecular processes, or whether methylation itself is involved in the ageing process. The precise aspects of ageing that the epigenetic clocks capture remain hidden and seem to vary between predictors. Nonetheless, the use of epigenetic clocks has opened the door towards studying biological ageing quantitatively, and new clocks and applications, such as forensics, appear frequently. In this review, we will discuss the range of epigenetic clocks available, their strengths and weaknesses, and their applicability to various scientific queries. Abstract : Over the past decade, the repertoire of DNA methylation‐based age predictors, known as epigenetic clocks, has grown. Here, we review four main types of epigenetic clocks that have been developed; human‐array based, reduced, composite and non‐human.