Evidence map›Paper›PMID 30321400›Full record

ArticleNucleic acids research2019

EWASdb: epigenome-wide association study database.

Di Liu, Linna Zhao, Zhaoyang Wang, Xu Zhou, Xiuzhao Fan, Yong Li, Jing Xu, Simeng Hu, Miaomiao Niu, Xiuling Song and 15 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
–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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Emerging opportunities for DNA methylation biomarkers in cattle improvement.The Journal of reproduction and development · 2026
    Review
  5. Article
  6. Review
  7. Are Methylation Patterns in theInternational journal of molecular sciences · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Promises and challenges in pharmacoepigenetics.Cambridge prisms. Precision medicine · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. MIAOME: Human microbiome affect the host epigenome.Computational and structural biotechnology journal · 2022
    Article
  17. Ten Years of EWAS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  18. Article
  19. Article
  20. 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

25 authors.

Di LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Linna ZhaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zhaoyang WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xu ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xiuzhao FanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yong LiTraining Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China.
Jing XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Simeng HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Miaomiao NiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xiuling SongCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Ying LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Lijiao ZuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Changgui LeiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Meng ZhangTraining Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China.
Guoping TangThe Fourth Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
Min HuangTraining Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China.
Nan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Lian DuanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Hongchao LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Mingming ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jin LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Liangde XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Fanwu KongDepartment of Nephrology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Rennan FengTraining Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China.
Yongshuai JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation, the most intensively studied epigenetic modification, plays an important role in understanding the molecular basis of diseases. Furthermore, epigenome-wide association study (EWAS) provides a systematic approach to identify epigenetic variants underlying common diseases/phenotypes. However, there is no comprehensive database to archive the results of EWASs. To fill this gap, we developed the EWASdb, which is a part of 'The EWAS Project', to store the epigenetic association results of DNA methylation from EWASs. In its current version (v 1.0, up to July 2018), the EWASdb has curated 1319 EWASs associated with 302 diseases/phenotypes. There are three types of EWAS results curated in this database: (i) EWAS for single marker; (ii) EWAS for KEGG pathway and (iii) EWAS for GO (Gene Ontology) category. As the first comprehensive EWAS database, EWASdb has been searched or downloaded by researchers from 43 countries to date. We believe that EWASdb will become a valuable resource and significantly contribute to the epigenetic research of diseases/phenotypes and have potential clinical applications. EWASdb is freely available at http://www.ewas.org.cn/ewasdb or http://www.bioapp.org/ewasdb.

Indexed as

Databases, GeneticDNA MethylationEpigenesis, GeneticEpigenomeDiseaseGene OntologyGenetic Association StudiesPhenotypeUser-Computer Interface

Identifiers

PMID30321400
PMCPMC6323898

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.