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. 2024 Jul 2;15:5540. doi: 10.1038/s41467-024-49702-2

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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/4.0/.

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Fig. 4 — a Gene set enrichment analysis of significant genes identified in the exome-wide association analysis, using Gene Ontology and KEGG Ontology database. The p-values reported are two-sided and unadjusted. b Protein–protein interaction network of significant brain iron-related genes. c Tissue-wide differential expression analysis of significant brain iron-related genes using GTEx dataset. The p-values reported are two-sided and unadjusted. d Uniform manifold approximation and projection (UMAP) visualization of human brain single-cell sequencing data. e Expression levels of significant brain iron-related genes in human brain single-cell sequencing data. The colors indicate the tissue types. GOBP gene ontology biological process, GOCC gene ontology cellular component, GOMF gene ontology molecular function, OPC oligodendrocyte progenitor cell.