Methylation Array Signals are Predictive of Chronological Age Without Bisulfite Conversion

Area of Science:

• Aging research
• Epigenetics
• Genomics

Background:

• Epigenetic clocks use DNA methylation to measure aging.
• Current models rely on bisulfite sequencing or methylation arrays.
• Genomic instability is another key hallmark of aging.

Purpose of the Study:

• To investigate how genomic instability affects DNA methylation measurements.
• To identify non-methylation factors that influence epigenetic clocks.
• To assess the age-predictive potential of these confounding signals.

Main Methods:

• Analysis of DNA methylation data from bisulfite sequencing and methylation arrays.
• Investigating the impact of genomic instability on methylation signals.
• Quantifying "pseudomethylation" signals.

Main Results:

• Genomic instability introduces "pseudomethylation" signals.
• These signals confound existing epigenetic clock models.
• Pseudomethylation signals are uniquely predictive of age.

Conclusions:

• Non-methylation factors, like genomic instability, significantly impact aging clocks.
• Accurate quantification of these covariates is essential for improving epigenetic clock accuracy.
• Future aging studies must account for genomic instability to refine age prediction models.