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Related Concept Videos

Epigenetic Regulation01:46

Epigenetic Regulation

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Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
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Related Experiment Video

Updated: Jun 2, 2025

Targeted DNA Methylation Analysis by Next-generation Sequencing
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Causality-driven candidate identification for reliable DNA methylation biomarker discovery.

Xinlu Tang1, Rui Guo1, Zhanfeng Mo2

  • 1The Medical Image and Health Informatics Lab, the School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Nature Communications
|January 15, 2025
PubMed
Summary

This study introduces a novel framework to identify reliable DNA methylation (DNAm) biomarkers for healthcare research. By integrating causal inference and deep learning, it overcomes resource barriers and improves biomarker candidate reliability.

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Area of Science:

  • Biomedical Science
  • Computational Biology
  • Genetics

Background:

  • DNA methylation (DNAm) biomarker discovery is crucial for healthcare research but faces challenges.
  • Unreliable candidates and confounding factors like noise and individual characteristics hinder progress and increase experimental costs.

Purpose of the Study:

  • To develop a reliable method for identifying DNA methylation biomarker candidates.
  • To overcome limitations of current DNAm biomarker discovery approaches.

Main Methods:

  • Proposed a Causality-driven Deep Regularization framework integrating causal thinking, deep learning, and biological priors.
  • Employed a contrastive scheme and spatial-relation regularization to handle confounding factors and reduce noise.

Main Results:

  • The framework successfully reinforced correlations suggestive of causality with disease.
  • Verified reliability through simulations and diverse real-world applications across diseases, sample origins, and sequencing technologies.

Conclusions:

  • The study offers a causal-deep-learning-based tool for reliable DNA methylation biomarker discovery.
  • Promotes resource-efficient biomarker identification with universal biomedical significance.