2 datasets found

  • Supplementary_tables_metabolites.xlsx

    The University of Auckland
    We identified proximal and distal target genes for 145 genome-wide significant metabolite-associated SNPs by the systematic integration of chromatin interaction (Hi-C), expression quantitative trait loci (eQTL), gene ontology (KEGG), protein classification (The Human Protein Atlas), drug-gene interaction (DGIdb), and literature text mining (PubMed) data....
    Created 1 August 2019 • Updated 29 March 2025

  • Untangling the genetic link between type 1 and type 2 diabetes using...

    The University of Auckland
    All datasets and supplementary information for this article.
    Created 1 November 2020 • Updated 29 March 2025
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