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Genome-wide copy number variant data for inflammatory bowel disease in a caucasian population

机译:白种人人群中炎症性肠病的全基因组拷贝数变异数据

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Genome-wide copy-number association studies offer new opportunities to identify the mechanisms underlying complex diseases, including chronic inflammatory, psychiatric disorders and others. We have used genotyping microarrays to analyse the copy-number variants (CNVs) from 243 Caucasian individuals with Inflammatory Bowel Disease (IBD). The CNV data was obtained by using multiple quality control measures and merging the results of three different CNV detection algorithms: PennCNV, iPattern, and QuantiSNP. The final dataset contains 4,402 CNVs detected by two or three algorithms independently with high confidence. This paper provides a detailed description of the data generation and quality control steps. For further interpretation of the data presented in this article, please see the research article entitled ‘Copy number variation-based gene set analysis reveals cytokine signalling pathways associated with psychiatric comorbidity in patients with inflammatory bowel disease’.
机译:全基因组拷贝数关联研究为识别复杂疾病(包括慢性炎症,精神疾病和其他疾病)的机制提供了新的机会。我们已使用基因分型微阵列分析了243名患有炎症性肠病(IBD)的白种人个体的拷贝数变异(CNV)。通过使用多种质量控制措施并合并三种不同的CNV检测算法(PennCNV,iPattern和QuantiSNP)的结果来获得CNV数据。最终数据集包含由2或3种算法独立,高置信度检测到的4,402个CNV。本文提供了有关数据生成和质量控制步骤的详细说明。有关本文中提供的数据的进一步解释,请参见名为“基于拷贝数变异的基因集分析揭示炎性肠病患者与精神病合并症相关的细胞因子信号传导途径”的研究文章。

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