Age-related DNA methylation changes for forensic age-prediction

Area of Science:

• Epigenetics
• Genomics
• Forensic Science

Background:

• Accurate age prediction for biological samples is currently unavailable.
• DNA methylation patterns demonstrably change with age.
• Epigenetic modifications tightly regulate aging processes.

Purpose of the Study:

• To identify and validate age-related DNA methylation markers.
• To develop a predictive model for biological age estimation.
• To assess the accuracy and reliability of DNA methylation for age prediction.

Main Methods:

• Isolation and identification of three age-related methylation fragments from blood samples.
• Validation and replication in a general population sample (n=65) across a wide age range (11-72 years).
• Development of a regression model using average methylation of CpG sites from the identified fragments.

Main Results:

• Identified three age-related methylation fragments with linear correlation to age (r=0.80-0.88).
• Developed a regression model explaining 95% of age variance (R^2=0.93).
• Achieved high accuracy in age prediction, with a mean difference of 4 years between predicted and observed age (r=0.96).

Conclusions:

• DNA methylation serves as a viable biological marker for age prediction.
• The developed model accurately estimates chronological age from biological samples.
• Further research into genomic markers could enhance routine age prediction in forensic contexts.