Development of a microRNA-Based age estimation model using whole-blood microRNA expression profiling.

ABSTRACT: Age estimation is a critical aspect of human identification. Traditional methods, reliant on morphological examinations, are often suitable for living subjects. However, there are relatively few studies on age estimation based on biological samples, such as blood. Recent advancements have concentrated on DNA methylation for forensic age prediction. However, to explore further possibilities, this study investigated microRNAs (miRNAs) as alternative molecular markers for age estimation. Peripheral blood samples from 127 healthy individuals were analyzed for miRNA expression using small RNA sequencing. Lasso regression selected 103 candidate miRNAs, and Shapley additive explanations (SHAP) analysis identified 38 key miRNAs significant for age prediction. Five machine learning models were deve

SUBMITTER: Lu Y 

PROVIDER: S-EPMC11938159 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature