首页> 美国卫生研究院文献>PLoS Genetics >Integrated Enrichment Analysis of Variants and Pathways in Genome-Wide Association Studies Indicates Central Role for IL-2 Signaling Genes in Type 1 Diabetes and Cytokine Signaling Genes in Crohns Disease
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Integrated Enrichment Analysis of Variants and Pathways in Genome-Wide Association Studies Indicates Central Role for IL-2 Signaling Genes in Type 1 Diabetes and Cytokine Signaling Genes in Crohns Disease

机译:在全基因组关联研究中对变体和途径的综合富集分析表明IL-1信号基因在1型糖尿病中和细胞因子信号基因在克罗恩病中的核心作用

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摘要

Pathway analyses of genome-wide association studies aggregate information over sets of related genes, such as genes in common pathways, to identify gene sets that are enriched for variants associated with disease. We develop a model-based approach to pathway analysis, and apply this approach to data from the Wellcome Trust Case Control Consortium (WTCCC) studies. Our method offers several benefits over existing approaches. First, our method not only interrogates pathways for enrichment of disease associations, but also estimates the level of enrichment, which yields a coherent way to promote variants in enriched pathways, enhancing discovery of genes underlying disease. Second, our approach allows for multiple enriched pathways, a feature that leads to novel findings in two diseases where the major histocompatibility complex (MHC) is a major determinant of disease susceptibility. Third, by modeling disease as the combined effect of multiple markers, our method automatically accounts for linkage disequilibrium among variants. Interrogation of pathways from eight pathway databases yields strong support for enriched pathways, indicating links between Crohn's disease (CD) and cytokine-driven networks that modulate immune responses; between rheumatoid arthritis (RA) and “Measles” pathway genes involved in immune responses triggered by measles infection; and between type 1 diabetes (T1D) and IL2-mediated signaling genes. Prioritizing variants in these enriched pathways yields many additional putative disease associations compared to analyses without enrichment. For CD and RA, 7 of 8 additional non-MHC associations are corroborated by other studies, providing validation for our approach. For T1D, prioritization of IL-2 signaling genes yields strong evidence for 7 additional non-MHC candidate disease loci, as well as suggestive evidence for several more. Of the 7 strongest associations, 4 are validated by other studies, and 3 (near IL-2 signaling genes RAF1, MAPK14, and FYN) constitute novel putative T1D loci for further study.
机译:全基因组关联研究的途径分析汇总了相关基因集(例如常见途径中的基因)的信息,以鉴定富含与疾病相关变体的基因集。我们开发了一种基于模型的途径分析方法,并将这种方法应用于来自惠康信托案例控制协会(WTCCC)研究的数据。与现有方法相比,我们的方法具有许多优点。首先,我们的方法不仅询问疾病关联的富集途径,而且还估算了富集水平,这产生了一种促进富集途径中变异的连贯方式,从而增强了疾病基础基因的发现。其次,我们的方法允许多种富集途径,这一特征可导致两种疾病的新发现,其中主要的组织相容性复合物(MHC)是疾病易感性的主要决定因素。第三,通过将疾病建模为多种标记的综合作用,我们的方法自动解决了变体之间的连锁不平衡问题。来自八个途径数据库的途径询问为丰富的途径提供了有力的支持,表明克罗恩病(CD)与调节免疫反应的细胞因子驱动的网络之间存在联系。类风湿关节炎(RA)和“麻疹”途径基因之间的关系,这些基因与麻疹感染引发的免疫反应有关;在1型糖尿病(T1D)和IL2介导的信号传导基因之间。与没有富集的分析相比,在这些富集的途径中对变异进行优先排序会产生许多其他假定的疾病关联。对于CD和RA,其他研究证实了8个非MHC关联中的7个,为我们的方法提供了验证。对于T1D,IL-2信号基因的优先级排序可为另外7个非MHC候选疾病位点提供有力的证据,并为另外几个提供提示性证据。在这7个最强的关联中,有4个已通过其他研究验证,并且3个(IL-2信号转导基因RAF1,MAPK14和FYN附近)构成了新的推定T1D基因座,需要进一步研究。

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