Improved epigenetic age prediction models by combining sex chromosome and autosomal markers.

ABSTRACT:

Background

Alterations in epigenetic DNA methylation (DNAm) can be used as an accurate and robust method for biological age prediction. We assessed the feasibility of incorporating sex chromosomal DNAm markers into a six autosomal DNAm CpG marker-based age prediction model, since DNAm-based prediction modeling has predominantly relied on analyzing DNAm patterns on autosomes.

Results

We employed random forest regression (RFR) to construct age prediction models with publicly available DNAm Infinium 450 K microarray data of sex chromosomes from human whole blood and buffy coat samples and assessed the RFR model performance based on the root-mean squared error (RMSE) and the mean absolute deviation (MAD) of cross-validation. Four types of models were constructed consisting of DN

SUBMITTER: Wan Z 

PROVIDER: S-EPMC12261677 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature