Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA.
J Infect Dis. 2011 Dec 15;204(12):1843-7. doi: 10.1093/infdis/jir647. Epub 2011 Oct 19.
Among 1369 Urban Health Study participants, we evaluated genetic models for the association of IL28B genotype (rs12979860 and rs8099917) with hepatitis C virus (HCV) clearance. For rs12979860, adjusted odds ratios for spontaneous HCV clearance were as follows: IL28B-CC, 3.88 (P < .001); IL28B-CT, 1.48 (P = .08). On the basis of Akaike information criteria values and χ(2) tests, a supra-additive (quadratic) model fit these data best. Models based on rs8099917 provided poorer fit. Evidence that a supra-additive rs12979860-based model best fits the association of IL28B-genotype with HCV clearance may improve clinical prediction models and foster a better understanding of functional mechanisms underlying this association.
在 1369 名城市健康研究参与者中,我们评估了 IL28B 基因型(rs12979860 和 rs8099917)与丙型肝炎病毒(HCV)清除之间关联的遗传模型。对于 rs12979860,自发性 HCV 清除的调整后优势比如下:IL28B-CC,3.88(P<.001);IL28B-CT,1.48(P=.08)。基于赤池信息量准则值和 χ(2)检验,超加性(二次)模型最适合这些数据。基于 rs8099917 的模型拟合效果较差。IL28B 基因型与 HCV 清除之间关联的超加性 rs12979860 模型最佳拟合的证据可能会改善临床预测模型,并促进对这种关联的功能机制的更好理解。