7 datasets found

  • Ethnicity and Cancer Burden NZ

    The University of Auckland
    Complete ArcGIS dataset dump for demographic, health and administrative region boundaries describing ethnicity, demographics and cancer burden across a basket of diseases for NZ, ca 2008
    Created 1 August 2019 • Updated 6 December 2023

  • L44 mouse bodyweight, blood glucose and serum hormone data

    The University of Auckland
    Blood glucose, body weight and serum hormone characterisation of the L44 mouse, a model of obesity and type 2 diabetes, over 400 days. L44 mice overexpress a nonamyloidogenic and noncytotoxic variant of human amylin that contains three proline substitutions at residues 25, 28 and 29 ([25, 28, 29triprolyl]human amylin or tripro-hA). This allows for...
    Created 1 August 2019 • Updated 6 December 2023

  • Supplementary Table 1. Details on GWAS data used in the study

    The University of Auckland
    The dataset contain GWAS statistics on GS, MG, MS and ALS associated SNPs used in the study.
    Created 1 October 2019 • Updated 6 December 2023

  • Supplementary data 2. The gene regulatory interactions of the NAFLD-SNPs with...

    The University of Auckland
    We identified SNPs that are strongly in linkage disequilibrium (r2 >= 0.8) with the NAFLD-associated SNPs reported by GWAS. The gene regulatory interactions of the NAFLD-SNPs (GWAS + LD) were extracted from the LGRN (spatially constrained; derived from a cohort of NAFLD unaffected individuals) and an eQTL-gene network derived from liver samples from a...
    Created 8 August 2022 • Updated 6 December 2023

  • Supplementary data 3. The gene regulatory interactions involving NAFLD-candid...

    The University of Auckland
    The spatially constrained eQTLs associated with the differential regulation of the NAFLD-candidate genes were identified from the LGRN. There were 122 spatially constrained eQTLs regulating 13 NAFLD-candidate genes. And the eQTLs were significantly enriched for the GWAS traits linked with NAFLD such as liver enzyme levels.
    Created 8 August 2022 • Updated 6 December 2023

  • Supplementary data 4. The interaction partners of the NAFLD-candidate genes f...

    The University of Auckland
    The proteins directly interacting with the proteins encoded by NAFLD-candidate genes were identified from the liver-specific protein-protein interaction network (PPIN). The interacting partners were significantly enriched within biological pathways related to cancers and NAFLD pathogenesis. The eQTLs regulating the interacting partners were enriched for...
    Created 8 August 2022 • Updated 6 December 2023

  • Supplementary data 5. The non-NAFLD eQTLs associated with the NAFLD-eQTL targ...

    The University of Auckland
    The non-NAFLD eQTLs regulating the NAFLD-eQTL target genes were identified from the LGRN. The trait enrichment analysis found that those non-NAFLD eQTLs were enriched for the GWAS traits that were previously associated with NAFLD (e.g. obesity) as well as the traits that were not previously linked to NAFLD (e.g. breast size).
    Created 8 August 2022 • Updated 6 December 2023
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