Chen Gang, Zhu Catherine, Chinoy Hector, Amos Christopher I, Morris Andrew P, Lamb Janine A
Epidemiology and Public Health Group, School of Health Sciences, The University of Manchester, Manchester, UK.
Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
Ann Rheum Dis. 2025 Jul 30. doi: 10.1016/j.ard.2025.07.002.
Idiopathic inflammatory myopathies (IIMs) are rare autoimmune disorders. Genetic association studies have highlighted the role of human leukocyte antigen (HLA) polymorphisms in IIM. We aimed to characterise the nonadditive effects (dominance and interaction) of HLA alleles on IIM risk.
This study included a total of 3206 IIM cases and 11,697 controls of European ancestry. HLA alleles were imputed using a multiancestry HLA reference panel. Logistic regressions were conducted to estimate the nonadditive effects of HLA alleles. Clinical subgroup analysis, calculation of phenotypic variance explained, and stepwise conditional analyses were conducted to further characterise these effects.
We identified significant nonadditive effects in 5 HLA genes, particularly in the core alleles of ancestral haplotype 8.1 (8.1 AH), including HLA-B08:01 (P = 3.93 × 10), HLA-C07:01 (P = 3.14 × 10), HLA-DQA105:01 (P = 3.03 × 10), HLA-DQB102:01 (P = 3.53 × 10), and HLA-DRB103:01 (P = 8.47 × 10). Notable risk difference between heterozygotes and homozygotes was observed in IIM, such as HLA-DRB103:01 (homozygote odds ratio [OR], 2.17; heterozygote OR, 3.13). In the interaction model, HLA-DQA1 and HLA-DRB1 showed specific significant allelic interactions. The nonadditive effect model explained a larger proportion of phenotypic variance than the model with additive effects alone. Conditional analysis indicated the independent nonadditive effect of HLA-DRB1*03:01 in 8.1 AH and amino acid residue Arg-74 in HLA-DRB1.
This study identified significant nonadditive effects within the HLA region of IIM. A genetic risk model including nonadditive effects could provide more accurate individual risk estimates. These findings highlight a complex role of HLA heterozygosity in the development of IIM and support further research into HLA nonadditive effects with clinical relevance.
特发性炎性肌病(IIM)是罕见的自身免疫性疾病。基因关联研究突出了人类白细胞抗原(HLA)多态性在IIM中的作用。我们旨在描述HLA等位基因对IIM风险的非加性效应(显性和相互作用)。
本研究共纳入3206例IIM病例和11697例欧洲血统对照。使用多血统HLA参考面板推算HLA等位基因。进行逻辑回归以估计HLA等位基因的非加性效应。进行临床亚组分析、计算可解释的表型方差以及逐步条件分析以进一步描述这些效应。
我们在5个HLA基因中发现了显著的非加性效应,特别是在祖先单倍型8.1(8.1 AH)的核心等位基因中,包括HLA - B08:01(P = 3.93×10)、HLA - C07:01(P = 3.14×10)、HLA - DQA105:01(P = 3.03×10)、HLA - DQB102:01(P = 3.53×10)和HLA - DRB103:01(P = 8.47×10)。在IIM中观察到杂合子和纯合子之间存在显著的风险差异,例如HLA - DRB103:01(纯合子优势比[OR],2.17;杂合子OR,3.13)。在相互作用模型中,HLA - DQA1和HLA - DRB1显示出特定的显著等位基因相互作用。非加性效应模型比仅具有加性效应的模型解释了更大比例的表型方差。条件分析表明HLA - DRB1*03:01在8.1 AH和HLA - DRB1中的氨基酸残基Arg - 74具有独立的非加性效应。
本研究在IIM的HLA区域内发现了显著的非加性效应。包含非加性效应的遗传风险模型可以提供更准确的个体风险估计。这些发现突出了HLA杂合性在IIM发病中的复杂作用,并支持对具有临床相关性的HLA非加性效应进行进一步研究。