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EWAS Open Platform 2026: a deeply integrated resource for epigenome-wide association studies.

Fei Yang1,2, Zhuang Xiong3, Wenting Zong1,2

  • 1National Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.

Nucleic Acids Research
|November 17, 2025
PubMed
Summary
This summary is machine-generated.

The EWAS Open Platform now offers expanded epigenome-wide association study data and tools. This upgrade enhances data integration and includes AI-powered services for exploring complex trait epigenetics.

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Area of Science:

  • Genomics
  • Epigenetics
  • Bioinformatics

Background:

  • Epigenome-wide association studies (EWAS) are crucial for understanding the epigenetic underpinnings of complex traits.
  • The EWAS Open Platform previously provided curated associations, methylation data, and analysis tools.

Purpose of the Study:

  • To present a significant upgrade to the EWAS Open Platform, enhancing its data resources, analytical capabilities, and user services.
  • To improve the accessibility and utility of EWAS data for researchers investigating complex traits.

Main Methods:

  • Expansion of the EWAS Atlas with over 800,000 associations and 17,000 causal relationships.
  • Enrichment of the EWAS Data Hub with over 180,000 batch-corrected samples, including new Illumina MethylationEPIC v2.0 data.
  • Introduction of enhanced interoperability between data, knowledge, and toolkit components.
  • Integration of an AI-assisted question-answering service for interactive data exploration.

Main Results:

  • The EWAS Atlas now contains significantly more curated associations and causal relationships.
  • The EWAS Data Hub boasts a larger, batch-corrected dataset incorporating advanced methylation profiling.
  • Interoperability enhancements allow for unified data retrieval, summarization, and visualization.
  • The AI service enables interactive querying and generation of tailored insights from EWAS data.

Conclusions:

  • The upgraded EWAS Open Platform provides substantially improved data resources, analytical tools, and service functionalities.
  • This enhancement offers more advanced support for dissecting complex molecular mechanisms through an epigenomic lens.
  • The platform facilitates deeper exploration of epigenetics in complex traits via integrated data and AI-driven insights.