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. 2024 Aug 19;15:7111. doi: 10.1038/s41467-024-51134-x

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 3 — A Glycome GWAS revealed associations between ST3GAL1 variants and IgA1 glycosylation. (Referee to SD2 and SD7 as the data source); B miRNA regulation throughout genetic and epigenetic changes as determined with GWAS and EWAS. (Referee to SD2, SD4, and SD8 as the data source); C Venn diagram showing an overlap between molecules associated with gene transcripts of GATA2, HDC, MS4A3, and FCER1A but not PDK4. (Referee to SD9 as the data source); D Ingenuity pathway analysis (IPA) revealed potential interaction between GATA2, HDC, MS4A3, and FCER1A but not PDK4; E The molecules associated with PDK4. (Referee to ST9 as the data source); F Associations between lipids structures and GATA2, HDC, MS4A3 and FCER1A. (Referee to SD9 as the data source). Molecules measured across platforms are depicted by different colors: DNA (light blue), Methylation (dark blue), RNA (violet), IgA (red), BRAIN (orange), BM (yellow), HDF, PM, UM, CM (green) form the multiomics network.