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Genome-wide Association Studies-GWAS01:11

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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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EWASdb: epigenome-wide association study database.

Di Liu1,2, Linna Zhao1,2, Zhaoyang Wang1,2

  • 1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Nucleic Acids Research
|October 16, 2018
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Summary
This summary is machine-generated.

The EWASdb is a new database archiving epigenome-wide association study (EWAS) results for DNA methylation. This resource aids research into the molecular basis of diseases and phenotypes.

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Area of Science:

  • Epigenetics
  • Genomics
  • Bioinformatics

Background:

  • DNA methylation is a key epigenetic modification crucial for understanding disease mechanisms.
  • Epigenome-wide association studies (EWAS) systematically identify epigenetic variants linked to diseases and phenotypes.
  • A comprehensive database for archiving EWAS results is currently lacking.

Purpose of the Study:

  • To develop and present EWASdb, the first comprehensive database archiving DNA methylation association results from EWAS.
  • To provide a centralized resource for researchers investigating the epigenetic basis of diseases and phenotypes.

Main Methods:

  • Curated data from 1319 EWAS associated with 302 diseases/phenotypes.
  • Inclusion of three types of EWAS results: single marker, KEGG pathway, and Gene Ontology (GO) category.
  • Database version 1.0, updated through July 2018.

Main Results:

  • EWASdb stores epigenetic association results from DNA methylation studies.
  • The database currently contains 1319 EWAS covering 302 diseases/phenotypes.
  • EWASdb has been accessed by researchers from 43 countries.

Conclusions:

  • EWASdb serves as a valuable resource for epigenetic research in diseases and phenotypes.
  • The database has potential for clinical applications in understanding disease molecular basis.
  • EWASdb is freely accessible online for global research communities.