BS-clock, advancing epigenetic age prediction with high-resolution DNA methylation bisulfite sequencing data.

Area of Science:

• Epigenetics
• Gerontology
• Genomics

Background:

• DNA methylation patterns are reliable biomarkers for biological age estimation.
• Existing methylation clocks often rely on array data, which has limitations in CpG coverage and sensitivity.
• Bisulfite sequencing offers greater coverage and sensitivity for DNA methylation analysis.

Purpose of the Study:

• To develop a novel DNA methylation clock, BS-clock, utilizing bisulfite sequencing data for human aging.
• To enhance the accuracy and robustness of biological age prediction compared to existing methods.
• To explore age-dependent aging rates and cross-tissue prediction capabilities.

Main Methods:

• Developed BS-clock, a DNA methylation clock based on bisulfite sequencing (BS-seq) data.
• Utilized BS-seq data from 529 samples across four tissue types.
• Evaluated clock performance by correlating predictions with chronological age and assessing cross-tissue applicability.

Main Results:

• BS-clock demonstrated higher correlations with chronological age across multiple tissues compared to array-based clocks.
• Identified age-dependent aging rates across different life stages and disease conditions.
• Observed limited prediction accuracy when applying models trained on one tissue to other tissues.

Conclusions:

• BS-clock provides a more robust and accurate method for quantifying human aging using genome-wide CpG coverage from bisulfite sequencing.
• This advancement facilitates deeper epigenetic studies of aging.
• BS-clock holds potential for developing interventions to promote healthy aging.