Population associations
HR / OR / RR across clinical outcomes
Connecting metabolic measures
with disease and genetic evidence
Explore population associations, genetic variation, gene and protein evidence, colocalisation and Mendelian randomisation across human metabolic measures.
Database at a glance
View Summary →—Metabolic measures—Diseases & outcomes—Other GWAS traits—Molecular QTL targets—Source studies—Relationship types
Counts refer to entities in the public catalogue; source results and evidence layers are reported separately.
Multiple evidence layers for the same metabolic measure
Association and genetic evidence are kept as separate layers.
Variant / QTL evidence
GWAS, metQTL and fine-mapping evidence
Gene and protein evidence
Rare-variant/burden tests and gene/protein QTL evidence
Colocalisation
Shared genetic signals across diseases, traits and molecular QTLs
MR
Source-reported MR and cis-MR results
Feature analyses
Disease-association profiles
Compare disease-association profiles across metabolic measures, with stability and sensitivity analyses shown alongside the results.
Explore profiles →Case studies
Explore source-level disease and genetic evidence for selected metabolic traits.
Gene evidence breadth
Compare the breadth of linked metabolic measures and the supporting evidence layers across genes.
Explore gene breadth →Broad measurement coverage
MetabDB distinguishes compounds, lipid species, lipoprotein measures, ratios, percentages and derived measures while retaining their source assay and definition.
NMR—
MS—
Lipidomics—
Assay categories can overlap. Counts refer to measurement entries, not unique chemical structures.
— source studies and their provenance
Studies span NMR, MS and lipidomics in UK Biobank and external cohorts.