Gliomas are the most common and malignant intracranial tumors in adults. Recent studies have revealed the significance of functional genomics for glioma pathophysiological studies and treatments. However, access to comprehensive genomic data and analytical platforms is often limited. Here, we developed the Chinese Glioma Genome Atlas (CGGA), a user-friendly data portal for the storage and interactive exploration of cross-omics data, including nearly 2000 primary and recurrent glioma samples from Chinese cohort. Currently, open access is provided to whole-exome sequencing data (286 samples), mRNA sequencing (1018 samples) and microarray data (301 samples), DNA methylation microarray data (159 samples), and microRNA microarray data (198 samples), and to detailed clinical information (age, gender, chemoradiotherapy status, WHO grade, histological type, critical molecular pathological information, and survival data). In addition, we have developed several tools for users to analyze the mutation profiles, mRNA/microRNA expression, and DNA methylation profiles, and to perform survival and gene correlation analyses of specific glioma subtypes. This database removes the barriers for researchers, providing rapid and convenient access to high‐quality functional genomic data resources for biological studies and clinical applications. CGGA is available at http://www.cgga.org.cn.
脑胶质瘤是成人颅内最常见的恶性肿瘤。近年来的研究揭示了功能基因组学研究在脑胶质瘤病理生理研究及治疗中的重要意义。然而，现阶段获得全面的基因组数据和分析平台往往是有限的。在这里，我们开发了中国脑胶质瘤基因组图谱计划(CGGA)，这是一个用户友好的数据门户，用于存储和交互式探索脑胶质瘤功能基因组信息资源。该数据库包含了来自中国人群的2000余例原发与复发脑胶质瘤组学和临床信息。截至目前，提供开发获取全外显子组测序数据(286例)、全转录组测序数据(1018例)、全转录组芯片数据(301例)、DNA甲基化芯片数据(159例)、小RNA芯片数据(198例)，以及详细患者临床资料(例如年龄、性别、放化疗信息、WHO等级、组织病理学分级、分子病理信息以及生存情况）。此外，我们开发了多个分析工具，用于分析脑胶质瘤的基因组突变、转录组及小RNA表达及其DNA甲基化谱，并对特定胶质瘤亚型进行生存和基因相关性分析等。本数据库为脑胶质瘤的基础和临床研究提供了快速、便捷的高质量功能基因组学数据资源。CGGA网站的网址是http://www.cgga.org.cn。





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