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Updated: Jun 24, 2026

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

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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
PubMed
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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:

Keywords:
Age predictionDNA methylationFeature selectionMachine learningSaliva

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  • 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.