EWAS Data Hub

EWAS Data Hub aggregates and normalizes large-scale DNA methylation array datasets and associated metadata to support epigenome-wide association studies and epigenetic analyses.

Key Features:

• Integrated DNA Methylation Dataset: Compiles DNA methylation array data from 75,344 samples derived from multiple epigenome-wide association studies.
• Batch Effect Normalization: Applies normalization methods to correct batch effects across datasets and improve cross-study comparability.
• Comprehensive Metadata Integration: Archives associated sample metadata including tissue or cell type, ancestry category, and disease state.
• Tissue and Cell-Type Reference Profiles: Provides DNA methylation reference profiles for 81 tissues and cell types, including 25 brain regions and 25 blood cell types.
• Ancestry and Disease Annotation: Includes metadata covering six ancestry categories and 67 diseases, including 39 cancer types.

Scientific Applications:

• Epigenome-Wide Association Studies: Enables large-scale analysis of DNA methylation patterns associated with complex traits and diseases.
• Epigenetic Biomarker Discovery: Supports identification of disease-associated DNA methylation markers.
• Population Epigenetics Research: Facilitates analysis of methylation variation across ancestry groups, tissues, and disease conditions.

Methodology:

EWAS Data Hub integrates DNA methylation array datasets from multiple EWAS projects, applies normalization methods to correct batch effects, and organizes standardized metadata including tissue or cell type, ancestry category, and disease state.