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Machine Learning-Based Identification of Diagnostic Biomarkers for Korean Male Sarcopenia Through Integrative DNA Methylation and Methylation Risk Score: From the Korean Genomic Epidemiology Study (KoGES).

Seohyun AhnYunho SungWook Song
Published in: Journal of Korean medical science (2024)
Overall, this study identified key epigenetic markers of sarcopenia in Korean males and developed a ML model with high diagnostic accuracy for sarcopenia. The MRS also revealed significant correlations between these markers and age, HG, and ASMI. These findings suggest that both diagnostic models and the MRS can play an important role in managing sarcopenia in middle-aged populations.
Keyphrases
  • dna methylation
  • skeletal muscle
  • machine learning
  • middle aged
  • gene expression
  • genome wide
  • copy number
  • single cell
  • artificial intelligence