| URL: | http://db.cbi.pku.edu.cn/ccgd/ESCCdb/ |
| Full name: | Chinese Cancer Genomic Database-Esophageal Squamous-Cell Carcinoma |
| Description: | This database integrates the results of genome-wide association study (GWAS) of 2,022 ESCC cases and 2,039 controls, survival GWAS of 1,006 ESCC patients, expression quantitative trait loci (eQTL) of 94 ESCC patients, SNVs/indels in the protein-coding regions from 675 whole-genome sequencing or whole-exome sequencing and their associations with ESCC patients' survival. |
| Year founded: | 2018 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | China |
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| University/Institution: | Chinese Academy of Medical Sciences and Peking Union Medical College |
| Address: | |
| City: | Beijing |
| Province/State: | Beijing |
| Country/Region: | China |
| Contact name (PI/Team): | Dongxin Lin, M.D. |
| Contact email (PI/Helpdesk): | lindx@cicams.ac.cn |
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CCGD-ESCC: A Comprehensive Database for Genetic Variants Associated with Esophageal Squamous Cell Carcinoma in Chinese Population. [PMID: 30208340]
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 between 8833 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://db.cbi.pku.edu.cn/ccgd/ESCCdb. |