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. 2024 Oct 15;25:273. doi: 10.1186/s13059-024-03411-7

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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. 3 — Overview of cell type-specific (CTS)-meQTLs identification using the hierarchical Bayesian interaction model (HBI). A Bar chart shows the number of HBI-identified meQTLs in each cell type (p<6E−12). B Flow chart indicates the replication of HBI identified CTS-meQTLs in an independent dataset for meQTLs in isolated white blood cell subsets (CD4+ T-cells, CD8+ T-cells, monocytes). C Table summarizes the replication results. D Functional enrichment for meQTLs across all cell types in CpG island (CGI) regions, gene body regions, and gene regulatory regions. The logarithm of odds ratio (OR) with 95% confidence interval is presented. TSS 1 kb: <1 kb upstream of the transcription start site (TSS); CDS: coding sequence; UTR: untranslated exon region; Heterochrom/lo: regions that exhibit heterochromatic or heterochromatin-like characteristics; CD4T: CD4+ T-cells; CD8T: CD8+ T-cells; NK: natural killer cells; Mono: monocytes; Gran: granulocytes