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Unraveling multiple MHC gene associations with systemic lupus erythematosus: Model choice indicates a role for HLA alleles and non-HLA genes in europeans

机译:揭示与系统性红斑狼疮的多个MHC基因关联:模型选择表明欧洲人中HLA等位基因和非HLA基因的作用

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摘要

We have performed a meta-analysis of the major-histocompatibility-complex (MHC) region in systemic lupus erythematosus (SLE) to determine the association with both SNPs and classical human-leukocyte-antigen (HLA) alleles. More specifically, we combined results from six studies and well-known out-of-study control data sets, providing us with 3,701 independent SLE cases and 12,110 independent controls of European ancestry. This study used genotypes for 7,199 SNPs within the MHC region and for classical HLA alleles (typed and imputed). Our results from conditional analysis and model choice with the use of the Bayesian information criterion show that the best model for SLE association includes both classical loci (HLA-DRB103:01, HLA-DRB108:01, and HLA-DQA101:02) and two SNPs, rs8192591 (in class III and upstream of NOTCH4) and rs2246618 (MICB in class I). Our approach was to perform a stepwise search from multiple baseline models deduced from a priori evidence on HLA-DRB1 lupus-associated alleles, a stepwise regression on SNPs alone, and a stepwise regression on HLA alleles. With this approach, we were able to identify a model that was an overwhelmingly better fit to the data than one identified by simple stepwise regression either on SNPs alone (Bayes factor [BF] > 50) or on classical HLA alleles alone (BF > 1,000).
机译:我们已经对系统性红斑狼疮(SLE)中主要组织相容性复合体(MHC)区进行了荟萃分析,以确定与SNP和经典人白细胞抗原(HLA)等位基因的关联。更具体地说,我们将六项研究的结果与众所周知的失控控制数据集相结合,为我们提供了3,701例独立的SLE病例和12,110例欧洲血统的独立对照。这项研究使用了MHC区域内7,199个SNP的基因型和经典HLA等位基因(分型和估算)的基因型。我们使用贝叶斯信息准则进行的条件分析和模型选择的结果表明,SLE关联的最佳模型包括经典基因座(HLA-DRB103:01,HLA-DRB108:01和HLA-DQA101:02)和两个SNP rs8192591(在III类中,在NOTCH4的上游)和rs2246618(MICB在I类中)。我们的方法是从多个基线模型中进行逐步搜索,该模型从与HLA-DRB1狼疮相关的等位基因的先验证据推导而来,仅对SNP进行逐步回归,而对HLA等位基因进行逐步回归。通过这种方法,我们能够确定一种模型,该模型比仅通过简单的逐步回归对单独的SNP(Bayes因子[BF]> 50)或仅对经典的HLA等位基因(BF> 1,000)进行简单拟合逐步拟合所确定的模型更适合数据)。

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