New targeted approaches for epigenetic age predictions

Area of Science:

• Epigenetics
• Molecular Biology
• Biomarker Discovery

Background:

• Age-associated DNA methylation changes are key biomarkers for aging.
• Genome-wide methylation profiles offer robust age prediction but are complex.
• Targeted methylation analysis offers standardized, cost-effective alternatives.

Purpose of the Study:

• To evaluate targeted DNA methylation measurement techniques for age prediction.
• To explore the utility of pyrosequencing, ddPCR, and BBA-seq for epigenetic age estimation.
• To develop novel epigenetic clocks based on individual DNA strand methylation patterns.

Main Methods:

• Utilized 4647 Illumina BeadChip profiles to select CpG sites for pyrosequencing.
• Assessed precision of DNA methylation measurements using droplet digital PCR (ddPCR).
• Analyzed bisulfite barcoded amplicon sequencing (BBA-seq) for age correlation and methylation patterns.

Main Results:

• Pyrosequencing, ddPCR, and BBA-seq enabled reliable age predictions.
• ddPCR demonstrated increased precision in DNA methylation measurements.
• BBA-seq revealed stochastic methylation patterns at neighboring CpGs, enabling strand-specific epigenetic clocks.

Conclusions:

• Targeted DNA methylation analysis via pyrosequencing, BBA-seq, and ddPCR provides high-precision epigenetic age prediction.
• ddPCR offers superior precision for age-related methylation measurements.
• BBA-seq facilitates novel epigenetic clocks by analyzing stochastic methylation patterns on individual DNA strands.