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Updated: Jan 8, 2026

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
Published on: June 26, 2018
Pleiotropic gene mapping reveals shared immune regulatory hubs across 15 autoimmune diseases
Yi Jin1, Hui-Min Lu2, Xing-Hao Yu3
1Wujin Hospital Affiliated with Jiangsu University, Changzhou 213017, Jiangsu, China; Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou 221002 Jiangsu, China; The Wujin Clinical College of Xuzhou Medical University, Changzhou 213017, Jiangsu, China.
Background:
Autoimmune diseases (AIDs) involve immune dysfunction with complex genetic underpinnings. This study examined genetic correlations and directional genetic associations across 15 AIDs to identify common immune pathways.
Methods:
We retrieved GWAS summary statistics for 15 AIDs and analyzed genetic overlap using LDSC and Z-score correlations. Pleiotropy was assessed via MAGMA to assign SNPs to genes and PLACO for pleiotropic gene detection. Functional annotation (FUMA) and pathway enrichment (MAGMA, MSigDB) were performed. Two-sample Mendelian randomization (MR) explored causal links between diseases and immune cell traits.
Results:
Primary Biliary Cholangitis (PBC) had the highest SNP-heritability (43.3 %), followed by Systemic Lupus Erythematosus (SLE) (32.84 %). Most disease pairs showed positive genetic correlations. We identified 76 pleiotropic genes, with HCP5, NOTCH4, and SKIV2L shared across all 15 diseases and concentrated in the extended MHC region. Enrichment analysis highlighted cytokine signaling, antigen presentation, and T-cell-mediated pathways. MR revealed directional genetic associations among rheumatoid arthritis (RA), SLE, and Systemic Sclerosis (SS), with PBC increasing SLE risk (OR = 1.253) and Inflammatory Bowel Disease (IBD) slightly protecting against Type 1 Diabetes (T1D) (OR = 0.959). Cell-type MR showed SKIV2L acting across multiple T-cell and myeloid subsets, whereas NOTCH4 effects were confined to M2 macrophages, highlighting distinct MHC-region hubs with broad versus myeloid-focused impact.
Conclusion:
These findings map shared genetic components and highlight pleiotropic genes, especially SKIV2L, HCP5 and NOTCH4, linking extended-MHC architecture to T-cell and myeloid programs. They provide a genetic framework for prioritizing common pathways and cell types for biomarker development and targeted therapy.
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