Evidence map›Paper›PMID 41243956›Full record

ArticleNucleic acids research2026

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

Fei Yang, Zhuang Xiong, Wenting Zong, Demian Kong, Bixia Tang, Xupeng Chen, Yaoke Wei, Xiangyu Yu, Yiran Zhang, Dong Zou and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Fei YangNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0009-0001-9406-0893
Zhuang XiongInterdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou 350002, China.
Wenting ZongNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0003-1834-9684
Demian KongNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.
Bixia TangNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-9357-4411
Xupeng ChenInterdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou 350002, China.
Yaoke WeiNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.
Xiangyu YuNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.
Yiran ZhangNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.
Dong ZouNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-7169-4965
Zhang ZhangNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0001-6603-5060
Yiming BaoNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.
Rujiao LiNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-3276-8335

Funding

Chinese Academy of Sciences CAS-WX2022SDC-XK05Chinese Academy of Sciences CAS-WX2024GC-0602Chinese Academy of Sciences XDA0460202Chinese Academy of Sciences XDA0460401National Natural Science Foundation of China 32030021National Natural Science Foundation of China 32300468National Natural Science Foundation of China 32400472
6 · The paper itself

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.

Indexed as

Databases, GeneticEpigenesis, GeneticEpigenomeEpigenomicsGenome-Wide Association StudySoftwareArtificial IntelligenceDNA MethylationHumans

Identifiers

PMID41243956
PMCPMC12807665

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.