Research Progress in Predicting DNA Methylation Modifications and the Relation with Human Diseases

Curr Med Chem. 2022;29(5):822-836. doi: 10.2174/0929867328666210917115733.

Abstract

DNA methylation is an important mode of regulation in epigenetic mechanisms, and it is one of the research foci in the field of epigenetics. DNA methylation modification affects a series of biological processes, such as eukaryotic cell growth, differentiation, and transformation mechanisms, by regulating gene expression. In this review, we systematically summarized the DNA methylation databases, prediction tools for DNA methylation modification, machine learning algorithms for predicting DNA methylation modification, and the relationship between DNA methylation modification and diseases such as hypertension, Alzheimer's disease, diabetic nephropathy, and cancer. An in-depth understanding of DNA methylation mechanisms can promote accurate prediction of DNA methylation modifications and the treatment and diagnosis of related diseases.

Keywords: Alzheimer's disease; DNA methylation; cancer; database; human diseases; prediction tool.

Publication types

  • Review

MeSH terms

  • Alzheimer Disease* / genetics
  • DNA Methylation*
  • Epigenesis, Genetic
  • Epigenomics
  • Humans
  • Protein Processing, Post-Translational