Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shanxi 710054, China.
Biomed Res Int. 2022 Aug 26;2022:2371347. doi: 10.1155/2022/2371347. eCollection 2022.
To explore various immune cell-related causal pathways for primary sclerosing cholangitis (PSC).
Immune cell-related pathway association study was conducted via integrative analysis of PSC GWAS summary and five immune cell-related eQTL datasets. The GWAS summary data of PSC was driven from 4,796 PSC cases and 19,955 healthy controls. The eQTL datasets of CD4+ T cells, CD8+ T cells, B cells, natural killer cells (NK), monocytes, and peripheral blood cells (PB) were collected from recently eQTL study. The PSC GWAS summary dataset was first aligned with eQTL datasets of six blood cells to obtain the GWAS summary data at overlapped eQTL loci, separately. For each type of cell, the obtained PSC GWAS summary dataset of eQTLs was subjected to pathway enrichment analysis. 853 biological pathways from Kyoto Encyclopedia of Genes and Genomes, BioCarta, and Reactome pathway databases were analyzed.
We identified 36 pathways for B cells, 33 pathways for CD4+ T cells, 28 pathways for CD8+ T cells, 33 pathways for monocytes (MN), 35 pathways for NK cells, and 33 for PB cells (all empirical values <5.0 × 10). Comparing the pathway analysis results detected 25 pathways shared by five immune cells, such as KEGG_CELL_ADHESION_MOLECULES_CAMS ( value <5.0 × 10) and REACTOME_MHC_CLASS_II_ANTIGEN_ PRESENTATION ( value <5.0 × 10). Several cell-specific pathways were also identified, including BIOCARTA_INFLAM_PATHWAY ( value <5 × 10) for B cell.
Our study holds potential to identify novel candidate causal pathways and provides clues for revealing the complex genetic mechanism of PSC.
探索原发性硬化性胆管炎(PSC)的各种免疫细胞相关因果途径。
通过整合 PSC GWAS 汇总和五个免疫细胞相关 eQTL 数据集进行免疫细胞相关途径关联研究。PSC 的 GWAS 汇总数据来自 4796 例 PSC 病例和 19955 例健康对照。CD4+T 细胞、CD8+T 细胞、B 细胞、自然杀伤细胞(NK)、单核细胞和外周血细胞(PB)的 eQTL 数据集从最近的 eQTL 研究中收集。首先将 PSC GWAS 汇总数据集与六种血液细胞的 eQTL 数据集对齐,分别获得重叠 eQTL 位点的 GWAS 汇总数据。对于每种类型的细胞,获得的 eQTLs 的 PSC GWAS 汇总数据集被用于通路富集分析。京都基因与基因组百科全书、BioCarta 和 Reactome 通路数据库中的 853 个生物学通路被分析。
我们确定了 36 条 B 细胞通路、33 条 CD4+T 细胞通路、28 条 CD8+T 细胞通路、33 条单核细胞(MN)通路、35 条 NK 细胞通路和 33 条 PB 细胞通路(所有经验值均<5.0×10)。比较通路分析结果,发现五种免疫细胞共有的 25 条通路,如 KEGG_CELL_ADHESION_MOLECULES_CAMS(经验值<5.0×10)和 REACTOME_MHC_CLASS_II_ANTIGEN_PRESENTATION(经验值<5.0×10)。还确定了一些细胞特异性通路,包括 BIOCARTA_INFLAM_PATHWAY(经验值<5.0×10)用于 B 细胞。
我们的研究有可能识别新的候选因果途径,并为揭示 PSC 的复杂遗传机制提供线索。