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Published on: May 6, 2022
Development of a precise saliva-based epigenetic clock using a six-CpG-marker panel
Weijie Teng1,2, Xufeng Chu2, Weifen Sun2
1School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, Shanxi, China.
International Journal of Legal Medicine
|June 23, 2026
Summary
Researchers developed a precise epigenetic clock using six CpG sites in saliva for accurate age prediction. This forensic tool offers high accuracy, outperforming many existing methods for age estimation.
Area of Science:
- Epigenetics
- Forensic Science
- Genomics
Background:
- Saliva is a crucial forensic specimen for age estimation.
- Accurate age prediction from saliva can provide vital leads in investigations.
Purpose of the Study:
- To develop a precise epigenetic clock for age prediction using saliva.
- Identify highly informative CpG sites for robust age estimation.
Main Methods:
- Utilized genome-wide 850K methylation array data from 76 Han Chinese saliva samples.
- Applied multi-stage feature selection with five machine learning algorithms (Elastic Net, Lasso, Ridge, SVR, rLasso).
- Employed recursive feature elimination (RFE) to identify six core CpG sites.
Main Results:
- Identified six core CpG sites strongly associated with age.
- Developed rLasso and SVR models with mean absolute errors (MAE) of 3.240 and 3.267 years, respectively.
- Validated models on independent datasets, achieving accuracy comparable to leading epigenetic clocks and outperforming others.
Conclusions:
- Developed a highly accurate, six-CpG site epigenetic age prediction panel for saliva.
- The rLasso and SVR models offer a balance of accuracy and practicality for forensic applications.
- This panel is a valuable tool for forensic age prediction and aging research.
