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Peer-reviewedCC BY-NC 4.0Nucleic Acids Research

MetabDB: an integrated resource for human metabolic measures, disease associations, and genetic evidence

  • Dandan Huang1
  • Xinxin Shi1
  • Sifan Cui1
  • Qinyi Xu2
  1. 1Department of Pharmacology, State Key Laboratory of Experimental Hematology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University , Tianjin 300070 ,
  2. 2Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University , Tianjin 300070 ,
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Abstract

Population-scale metabolomics studies have linked metabolic measures to diseases, quantitative traits, and genetic variation, but the results are scattered across assay platforms, phenotype definitions, and analytical formats. MetabDB integrates 16 public studies spanning nuclear magnetic resonance, mass spectrometry, and lipidomics. The current release contains 2663 metabolic measures, 3524 diseases and outcomes, 3382 other genome-wide association traits, and 2025 molecular quantitative trait locus (QTL) targets. MetabDB links genomic variants, genes and proteins, metabolic measures, and diseases or traits through variant/QTL associations, fine-mapping, rare-variant or burden analyses, colocalization, Mendelian randomization, and population associations. Metabolic measures areretained in their source-reported forms, including compounds, lipid species, lipoprotein measures, ratios, percentages, and derived traits. Gene- and protein-level evidence can be examined alongside genomic signals and related disease or trait evidence for the same metabolic measure. Source information and reported analytical details are retained, including the source study, original variable or phenotype definition, assay, unit, exposure scale, analytical model, and statistics where available. Search, browse, and colocalization pages, together with gene evidence breadth and disease-association profiles, provide access to these records. MetabDB is freely available at http://www.mulinlab.org/metabdb/.

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Cite

BibTeXRIS
BibTeX
@article{huang2026metabdb,
  title = {{MetabDB: an integrated resource for human metabolic measures, disease associations, and genetic evidence}},
  author = {Dandan Huang and Xinxin Shi and Sifan Cui and Qinyi Xu},
  journal = {Nucleic Acids Research},
  year = {2026},
  month = oct,
  doi = {10.1093/nar/gkag1086},
  url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1086/9005760},
  note = {CC BY-NC 4.0},
}
RIS
TY  - JOUR
TI  - MetabDB: an integrated resource for human metabolic measures, disease associations, and genetic evidence
AU  - Dandan Huang
AU  - Xinxin Shi
AU  - Sifan Cui
AU  - Qinyi Xu
PY  - 2026
DA  - 2026/10/31
JO  - Nucleic Acids Research
DO  - 10.1093/nar/gkag1086
UR  - https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1086/9005760
AB  - Population-scale metabolomics studies have linked metabolic measures to diseases, quantitative traits, and genetic variation, but the results are scattered across assay platforms, phenotype definitions, and analytical formats. MetabDB integrates 16 public studies spanning nuclear magnetic resonance, mass spectrometry, and lipidomics. The current release contains 2663 metabolic measures, 3524 diseases and outcomes, 3382 other genome-wide association traits, and 2025 molecular quantitative trait locus (QTL) targets. MetabDB links genomic variants, genes and proteins, metabolic measures, and diseases or traits through variant/QTL associations, fine-mapping, rare-variant or burden analyses, colocalization, Mendelian randomization, and population associations. Metabolic measures areretained in their source-reported forms, including compounds, lipid species, lipoprotein measures, ratios, percentages, and derived traits. Gene- and protein-level evidence can be examined alongside genomic signals and related disease or trait evidence for the same metabolic measure. Source information and reported analytical details are retained, including the source study, original variable or phenotype definition, assay, unit, exposure scale, analytical model, and statistics where available. Search, browse, and colocalization pages, together with gene evidence breadth and disease-association profiles, provide access to these records. MetabDB is freely available at http://www.mulinlab.org/metabdb/.
SN  - 0305-1048
SN  - 1362-4962
ER  -