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Risk stratification integrating genetic data for factor VIII inhibitor development in patients with severe hemophilia A

机译:结合遗传数据的风险分层针对重度A型血友病患者VIII因子抑制剂的发展

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摘要

Replacement therapy in severe hemophilia A leads to factor VIII (FVIII) inhibitors in 30% of patients. Factor VIII gene (F8) mutation type, a family history of inhibitors, ethnicity and intensity of treatment are established risk factors, and were included in two published prediction tools based on regression models. Recently investigated immune regulatory genes could also play a part in immunogenicity. Our objective is to identify bio-clinical and genetic markers for FVIII inhibitor development, taking into account potential genetic high order interactions. The study population consisted of 593 and 79 patients with hemophilia A from centers in Bonn and Frankfurt respectively. Data was collected in the European ABIRISK tranSMART database. A subset of 125 severely affected patients from Bonn with reliable information on first treatment was selected as eligible for risk stratification using a hybrid tree-based regression model (GPLTR). In the eligible subset, 58 (46%) patients developed FVIII inhibitors. Among them, 49 (84%) were “high risk” F8 mutation type. 19 (33%) had a family history of inhibitors. The GPLTR model, taking into account F8 mutation risk, family history of inhibitors and product type, distinguishes two groups of patients: a high-risk group for immunogenicity, including patients with positive HLA-DRB1*15 and genotype G/A and A/A for IL-10 rs1800896, and a low-risk group of patients with negative HLA-DRB1*15 / HLA-DQB1*02 and T/T or G/T for CD86 rs2681401. We show associations between genetic factors and the occurrence of FVIII inhibitor development in severe hemophilia A patients taking into account for high-order interactions using a generalized partially linear tree-based approach.
机译:重度A型血友病的替代疗法在30%的患者中导致VIII因子(FVIII)抑制剂。 VIII因子基因(F8)突变类型,抑制剂家族史,种族和治疗强度是确定的危险因素,并已包含在两个基于回归模型的预测工具中。最近研究的免疫调节基因也可能在免疫原性中起作用。我们的目标是,考虑到潜在的遗传高阶相互作用,确定FVIII抑制剂开发的生物临床和遗传标记。研究人群分别包括波恩和法兰克福中心的593名和79名A型血友病患者。数据收集在欧洲ABIRISK tranSMART数据库中。使用基于混合树的回归模型(GPLTR),选择了来自波恩的125名重症患者,并获得了关于首次治疗的可靠信息的子集,符合风险分层的条件。在合格的亚组中,有58名(46%)患者发展了FVIII抑制剂。其中,49位(84%)是“高危” F8突变型。 19(33%)有抑制剂家族史。 GPLTR模型考虑了F8突变的风险,抑制剂的家族史和产品类型,区分了两组患者:高免疫原性组,包括HLA-DRB1 * 15阳性且基因型为G / A和A / IL-10 rs1800896为A,HLA-DRB1 * 15 / HLA-DQB1 * 02阴性且CD86 rs2681401为T / T或G / T的低危患者。我们显示遗传因素和严重血友病A患者中FVIII抑制剂发展的发生之间的关联,并考虑到了使用广义的部分线性树为基础的方法的高阶相互作用。

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