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首页> 外文期刊>International Journal of Cancer =: Journal International du Cancer >Modeling HLA associations with EBV-positive and -negative Hodgkin lymphoma suggests distinct mechanisms in disease pathogenesis
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Modeling HLA associations with EBV-positive and -negative Hodgkin lymphoma suggests distinct mechanisms in disease pathogenesis

机译:用EBV阳性和阴性霍奇金淋巴瘤建立HLA关联模型表明疾病发病机理不同

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HLA genotyping and genome wide association studies provide strong evidence for associations between Human Leukocyte Antigen (HLA) alleles and classical Hodgkin lymphoma (cHL). Analysis of these associations is complicated by the extensive linkage disequilibrium within the major histocompatibility region and recent data suggesting that associations with EBV-positive and EBV-negative cHL are largely distinct. To distinguish independent and therefore potentially causal associations from associations confounded by linkage disequilibrium, we applied a variable selection regression modeling procedure to directly typed HLA class I and II genes and selected SNPs from EBV-stratified patient subgroups. In final models, HLA-A*01:01 and B*37:01 were associated with an increased risk of EBV-positive cHL whereas DRB1*15:01 and DPB1*01:01 were associated with decreased risk. Effects were independent of a prior history of infectious mononucleosis. For EBV-negative cHL the class II SNP rs6903608 remained the strongest predictor of disease risk after adjusting for the effects of common HLA alleles. Associations with all cHL and differences by case EBV status reflected the subgroup analysis. In conclusion, this study extends previous findings by identifying novel HLA associations with EBV-stratified subgroups of cHL, highlighting those alleles likely to be biologically relevant and strengthening evidence implicating genetic variation associated with the SNP rs6903608.
机译:HLA基因分型和全基因组关联研究为人类白细胞抗原(HLA)等位基因与经典霍奇金淋巴瘤(cHL)之间的关联提供了有力证据。在主要组织相容性区域内广泛的连锁不平衡使这些关联的分析变得复杂,并且最近的数据表明与EBV阳性和EBV阴性的cHL的关联非常不同。为了从链接不平衡混淆的联想中区分出独立的,因此可能有因果关系的联想,我们将变量选择回归建模程序应用于直接输入的HLA I类和II类基因以及从EBV分层患者亚组中选择的SNP。在最终模型中,HLA-A * 01:01和B * 37:01与EBV阳性cHL的风险增加相关,而DRB1 * 15:01和DPB1 * 01:01与降低的风险相关。作用与感染性单核细胞增多症的既往史无关。对于EBV阴性的cHL,在调整常见HLA等位基因的影响后,II类SNP rs6903608仍然是疾病风险的最强预测因子。与所有cHL的关联以及个案EBV状态的差异反映了亚组分析。总之,本研究通过鉴定与EBV分层的cHL亚型的新型HLA关联,扩展了先前的发现,突出了那些可能与生物学相关的等位基因,并加强了与SNP rs6903608相关的遗传变异的证据。

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