DMRdb

DMRdb aggregates high-quality disease genome-wide association studies (GWASs) and Mendelian randomization (MR) analysis results to systematically assess causal relationships between diseases and genes, proteins, CpG sites, metabolites, and other diseases.

Key Features:

• Disease GWAS Data: The database includes 6640 high-quality disease GWASs from public sources that were subjected to rigorous quality filtering and standardization.
• MR Analysis Results: The database contains over 497 billion results from MR analyses involving 6640 disease GWAS datasets, 16238 expression quantitative trait loci (eQTLs) data, 2564 protein quantitative trait loci (pQTLs) data, 12000 methylation quantitative trait locus (meQTLs) data and 825 metabolites data.
• Literature-Curated Causal Relationships: The database includes over 380000 causal relationship pairs from 1223 literature sources relevant to MR analyses.

Scientific Applications:

• Disease Mechanism Research: DMRdb advances understanding of disease mechanisms through systematic causal assessment of diseases with molecular traits and other diseases.
• Therapeutic Target Identification: DMRdb supports identification of potential therapeutic targets based on causal relationships derived from MR analyses.
• Biomarker Discovery: DMRdb facilitates identification of new biomarkers through integrated analysis of genetic, proteomic, epigenetic, and metabolic data.

Methodology:

Mendelian randomization (MR) analysis was performed using disease GWAS datasets combined with eQTLs, pQTLs, meQTLs, and metabolites data; causal relationship pairs were curated from literature sources.