CCGD-ESCC： A Comprehensive Database for Genetic Variants Associated with Esophageal Squamous Cell Carcinoma in Chinese Population

作     者：Linna Peng Sijin Cheng Yuan Lin Qionghua Cui Yingying Luo Jiahui Chu Mingming Shao Wenyi Fan Yamei Chen Ai Lin Yiyi Xi Yanxia Sun Lei Zhang Chao Zhang Wen Tan Ge Gao Chen Wu Dongxin Lin 

作者机构：Department of Etiology and Carcinogenesis National Cancer Center/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China State Key Laboratory of Protein and Plant Gene Research School of Life Sciences Center for Bioinformatics Peking UniversityBeijing 100871China Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijing 100871China National Engineering Research Center for Beijing Biochip TechnologyBeijing 102206China School of Life Sciences Peking UniversityBeijing 100871China 

出 版 物：《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报（英文版）)

年 卷 期：2018年第16卷第4期

页      面：262-268页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：supported by CAMS Innovation Fund for Medical Sciences (Grant No. 2016-I2M-4-002 awarded to CW) the National Key R&D Program (Grant No. 2016YFC1302701 to CW and Grant No. 2016YFC0901603 to GG) 

主　　题：Esophageal cancer Germline variants Somatic mutations Association databaseChinese population 

摘      要：Esophageal squamous-cell carcinoma （ESCC） is one of the most lethal malignancies in the world and occurs at particularly higher frequency in China. While several genome-wide association studies （GWAS） of germline variants and whole-genome or whole-exome sequencing studies of somatic mutations in ESCC have been published, there is no comprehensive database publically available for this cancer. Here, we developed the Chinese Cancer Genomic Database-Esophageal Squamous Cell Carcinoma （CCGD-ESCC） database, which contains the associations of 69,593 single nucleotide polymorphisms （SNPs） with ESCC risk in 2022 cases and 2039 controls, survival time of 1006 ESCC patients （survival GWAS） and gene expression （expression quantitative trait loci,eQTL） in 94 ESCC patients. Moreover, this database also provides the associations between8833 somatic mutations and survival time in 675 ESCC patients. Our user-friendly database is a resource useful for biologists and oncologists not only in identifying the associations of genetic variants or somatic mutations with the development and progression of ESCC but also in studying the underlying mechanisms for tumorigenesis of the cancer. CCGD-ESCC is freely accessible at http：//***/ccgd/ESCCdb.