rs3821236

This review article by Ota and Kuwana synthesizes genetic studies on systemic sclerosis (SSc), a complex autoimmune disease. Multiple genetic association studies, including GWAS and candidate gene approaches, have identified SSc susceptibility genes primarily involved in innate immunity (IRF4, IRF5, IRF7, IRF8, TNFAIP3), adaptive immune response (TNFSF4, CD247, PTPN22, CSK, STAT4, BLK), IL-12 signaling (IL-12A, IL-12RB1, IL-12RB2, TYK2), apoptosis/autophagy (ATG5, GSDMA, GSDMB, NOTCH4), and vascular homeostasis/fibrosis (PPARG). The review emphasizes that identified risk variants are predominantly located in non-coding regulatory regions and influence gene expression rather than protein structure.

This is a comprehensive review of genetic factors in systemic sclerosis (SSc), a complex autoimmune disease. The review synthesizes findings from candidate gene analysis and genome-wide association studies identifying numerous SNPs and genetic variants associated with SSc susceptibility, primarily in genes involved in innate immunity (IRF4, IRF5, IRF7, IRF8, TNFAIP3), adaptive immunity (TNFSF4, PTPN22, STAT4, BLK, PRDM1), and cell death pathways (ATG5, DNASE1L3, GSDMA/B, NOTCH4). HLA class II genes are associated with SSc-related autoantibodies rather than SSc itself, with DRB1 alleles carrying the FLEDR amino acid sequence critical for anti-topo I antibody responses.

This review updates knowledge on genetic factors in systemic sclerosis (SSc) susceptibility and disease expression. GWAS and candidate gene studies have identified multiple SSc-associated genetic variants primarily located in non-coding regions that influence gene expression through eQTL effects. Major risk genes include those involved in innate immunity (IRF4, IRF5, IRF7, IRF8, TNFAIP3), adaptive immune response (PTPN22, STAT4, TNFSF4, CD247), and cell death pathways (ATG5), while few genes directly involve fibrosis or vascular homeostasis. HLA class II genes associate with SSc-related autoantibodies rather than SSc itself. Multi-omics approaches are needed to characterize the complex molecular architecture and identify biomarkers.

This case-control association study of juvenile idiopathic arthritis (JIA) in 809 JIA cases and 3,521 controls identified susceptibility loci shared with other autoimmune diseases. Three novel loci were identified: PTPN2 (strongest signals rs7234029, p=7.19×10⁻¹¹, OR=1.59; rs1893217, p=3.48×10⁻⁸, OR=1.52; rs2542151, p=3.05×10⁻⁷, OR=1.45), COG6 (rs7993214, p=3.98×10⁻³, OR=0.79), and ANGPT1 (rs1010824, p=4.93×10⁻³, OR=0.77). Four previously reported JIA loci were confirmed: PTPN22, STAT4, C12orf30, and IL2-IL21. Odds ratios ranged from 1.20 to 1.65 in meta-analysis of initial and independent replication cohorts (n=1,015 cases and 1,568 controls).

This comprehensive review examines genetic associations in type I interferon-related signaling pathways across multiple autoimmune diseases. The authors review evidence linking dysregulated interferon alpha (IFNα) signaling to systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and other autoimmune conditions, identifying multiple susceptibility genes including IFIH1, IRF5, STAT4, TYK2, BLK, BANK1, FCGR2A, and TREX1 with well-replicated associations and functional relevance to IFN pathway dysfunction.

A large case-control study of 4,374 SLE cases and 4,860 controls from multiple racial/ethnic groups identified strong genetic associations between multiple SNPs in the STAT4 gene and systemic lupus erythematosus (SLE), with the strongest association at rs10168266 (p=1.38×10⁻¹⁵ in Europeans, combined p=7.02×10⁻²⁵). Multiple significant haplotypes spanning the STAT4 gene were found across European, Asian-Korean, Hispanic, and African American populations, with conditional analyses suggesting rs10168266 explains the primary haplotypic association. In contrast, STAT1 showed only weak suggestive associations.