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Large-Scale Pathway-Based Analysis of Bladder Cancer Genome-Wide Association Data from Five Studies of European Background

机译:来自欧洲背景的五项研究的基于膀胱癌基因组-全基因关联数据的大规模路径分析

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摘要

Pathway analysis of genome-wide association studies (GWAS) offer a unique opportunity to collectively evaluate genetic variants with effects that are too small to be detected individually. We applied a pathway analysis to a bladder cancer GWAS containing data from 3,532 cases and 5,120 controls of European background (n = 5 studies). Thirteen hundred and ninety-nine pathways were drawn from five publicly available resources (Biocarta, Kegg, NCI-PID, HumanCyc, and Reactome), and we constructed 22 additional candidate pathways previously hypothesized to be related to bladder cancer. In total, 1421 pathways, 5647 genes and ∼90,000 SNPs were included in our study. Logistic regression model adjusting for age, sex, study, DNA source, and smoking status was used to assess the marginal trend effect of SNPs on bladder cancer risk. Two complementary pathway-based methods (gene-set enrichment analysis [GSEA], and adapted rank-truncated product [ARTP]) were used to assess the enrichment of association signals within each pathway. Eighteen pathways were detected by either GSEA or ARTP at P≤0.01. To minimize false positives, we used the I2 statistic to identify SNPs displaying heterogeneous effects across the five studies. After removing these SNPs, seven pathways (‘Aromatic amine metabolism’ [PGSEA = 0.0100, PARTP = 0.0020], ‘NAD biosynthesis’ [PGSEA = 0.0018, PARTP = 0.0086], ‘NAD salvage’ [PARTP = 0.0068], ‘Clathrin derived vesicle budding’ [PARTP = 0.0018], ‘Lysosome vesicle biogenesis’ [PGSEA = 0.0023, PARTP<0.00012], ’Retrograde neurotrophin signaling’ [PGSEA = 0.00840], and ‘Mitotic metaphase/anaphase transition’ [PGSEA = 0.0040]) remained. These pathways seem to belong to three fundamental cellular processes (metabolic detoxification, mitosis, and clathrin-mediated vesicles). Identification of the aromatic amine metabolism pathway provides support for the ability of this approach to identify pathways with established relevance to bladder carcinogenesis.
机译:全基因组关联研究(GWAS)的途径分析提供了一个独特的机会,可以集体评估遗传变异,其影响很小,无法单独检测。我们对膀胱癌GWAS进行了路径分析,该分析包含来自3,532例病例和5,120例欧洲背景对照的数据(n = 5项研究)。从五个可公开获得的资源(Biocarta,Kegg,NCI-PID,HumanCyc和Reactome)中提取了139条途径,我们还构建了22种先前假设与膀胱癌相关的候选途径。我们的研究总共包括了1421条途径,5647个基因和约90,000个SNP。校正年龄,性别,研究,DNA来源和吸烟状况的Logistic回归模型用于评估SNP对膀胱癌风险的边际趋势影响。两种基于互补途径的方法(基因集富集分析[GSEA]和适应的等级截断产物[ARTP])用于评估每种途径中缔合信号的富集。 GSEA或ARTP在P≤0.01时检测到18条途径。为了最大程度地减少误报,我们使用I 2 统计量来识别在五项研究中显示异质效应的SNP。除去这些SNP后,产生了七个途径(“芳香胺代谢” [PGSEA = 0.0100,PARTP = 0.0020,NAD生物合成] [PGSEA = 0.0018,PARTP = 0.0086],“ NAD回收” [PARTP = 0.0068],“氯霉素衍生”囊泡出芽” [PARTP = 0.0018],“溶酶体囊泡生物发生” [PGSEA = 0.0023,PARTP <0.00012],“逆行神经营养素信号传导” [PGSEA = 0.00840]和“有丝分​​裂中期/后期转变” [PGSEA = 0.0040]) 。这些途径似乎属于三个基本的细胞过程(代谢排毒,有丝分裂和网格蛋白介导的囊泡)。芳香胺代谢途径的鉴定为该方法鉴定与膀胱癌发生已建立相关的途径的能力提供了支持。

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