CCGD-ESCC: A Comprehensive Database for Genetic Variants Associated with Esophageal Squamous Cell Carcinoma in Chinese Population
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 ESC...
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Published in | Genomics, proteomics & bioinformatics Vol. 16; no. 4; pp. 262 - 268 |
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Main Authors | , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
China
Elsevier B.V
01.08.2018
Department of Etiology and Carcinogenesis, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China%State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Center for Bioinformatics, Peking University, Beijing 100871, China Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China%National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, China%School of Life Sciences, Peking University, Beijing 100871, China Elsevier Oxford University Press |
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Summary: | 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. |
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Bibliography: | ORCID: 0000-0002-9072-5157. Equal contribution. ORCID: 0000-0002-4094-8002. ORCID: 0000-0001-7502-7935. ORCID: 0000-0003-4154-4277. ORCID: 0000-0002-4690-0245. ORCID: 0000-0002-8723-8868. ORCID: 0000-0002-7875-7404. ORCID: 0000-0002-7231-7838. ORCID: 0000-0003-2949-1491. ORCID: 0000-0002-1293-0550. ORCID: 0000-0001-6470-8815. ORCID: 0000-0002-9583-9313. ORCID: 0000-0003-4167-4872. ORCID: 0000-0003-4954-1011. ORCID: 0000-0002-2565-7127. ORCID: 0000-0002-2122-4009. ORCID: 0000-0003-4498-8236. ORCID: 0000-0001-5285-5260. |
ISSN: | 1672-0229 2210-3244 |
DOI: | 10.1016/j.gpb.2018.03.005 |