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

**Authors:** Fei Yang, Zhuang Xiong, Wenting Zong, Demian Kong, Bixia Tang, Xupeng Chen, Yaoke Wei, Xiangyu Yu, Yiran Zhang, Dong Zou, Zhang Zhang, Yiming Bao, Rujiao Li

PMC · DOI: 10.1093/nar/gkaf1155 · Nucleic Acids Research · 2025-11-17

## TL;DR

The EWAS Open Platform 2026 is a comprehensive resource for epigenetic studies, offering expanded data, tools, and AI-based services to explore complex traits.

## Contribution

The platform introduces AI-based question answering, expanded datasets, and enhanced interoperability for epigenome-wide association studies.

## Key findings

- The platform now includes over 800,000 associations and 17,000 curated causal relationships in the EWAS Atlas.
- The EWAS Data Hub contains more than 180,000 batch-corrected samples, including data from the Illumina MethylationEPIC v2.0 BeadChip.
- An AI-assisted question-answering service has been added to facilitate interactive exploration of EWAS-related questions.

## Abstract

Epigenome-wide association studies (EWAS) has become an indispensable approach for elucidating the epigenetic basis of complex traits. EWAS Open Platform (https://ngdc.cncb.ac.cn/ewas/) includes three main components: EWAS Atlas (curated associations from publications), EWAS Data Hub (normalized DNA methylation array data), and EWAS Toolkit (one-stop analysis services). Here, we present a new release of EWAS Open Platform with the following significant updates and enhancements: (i) Expanded information: EWAS Atlas houses over 800 000 associations and incorporates an additional 17 000 curated causal relationships. EWAS Data Hub contains >180 000 batch-corrected samples, which incorporate data from newly added Illumina MethylationEPIC v2.0 BeadChip (935K) as well as trait-specific methylation profiles. EWAS Toolkit now provides an online batch correction tool and an interactive epigenetic causal network. (ii) Enhanced interoperability: data, knowledge, and toolkit are fully interconnected through a unified retrieval, offering integrated summaries and visualization capabilities. (iii) Artificial intelligence (AI)-based service: the platform is newly equipped with an AI-assisted question-answering service, allowing users to interactively explore EWAS-related questions and generate tailored insights. Taken together, EWAS Open Platform has undergone a significant upgrade across data resources, analytical tools, and service functionalities, offering more advanced support for unraveling complex molecular mechanisms from an epigenomic perspective.

Graphical Abstract

## Full-text entities

- **Genes:** GFI1 (growth factor independent 1 transcriptional repressor) [NCBI Gene 2672] {aka GFI-1, GFI1A, SCN2, ZNF163}
- **Diseases:** lung cancer (MESH:D008175), cancer (MESH:D009369), breast cancer (MESH:D001943)
- **Species:** Homo sapiens (human, species) [taxon 9606]

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## Figures

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## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC12807665/full.md

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Source: https://tomesphere.com/paper/PMC12807665