Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

Pancan-meQTL

General information

URL: http://bioinfo.life.hust.edu.cn/Pancan-meQTL
Full name:
Description: a database to systematically evaluate the effects of genetic variants on methylation in human cancer.
Year founded: 2019
Last update:
Version:
Accessibility:
Manual:
Accessible
Country/Region: China

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Huazhong University of Science and Technology
Address:
City: Wuhan
Province/State: Hubei
Country/Region: China
Contact name (PI/Team): Jing Gong
Contact email (PI/Helpdesk): gongj@hust.edu.cn

Publications

30203047
Pancan-meQTL: a database to systematically evaluate the effects of genetic variants on methylation in human cancer. [PMID: 30203047]
Gong J, Wan H, Mei S, Ruan H, Zhang Z, Liu C, Guo AY, Diao L, Miao X, Han L.

DNA methylation is an important epigenetic mechanism for regulating gene expression. Aberrant DNA methylation has been observed in various human diseases, including cancer. Single-nucleotide polymorphisms can contribute to tumor initiation, progression and prognosis by influencing DNA methylation, and DNA methylation quantitative trait loci (meQTL) have been identified in physiological and pathological contexts. However, no database has been developed to systematically analyze meQTLs across multiple cancer types. Here, we present Pancan-meQTL, a database to comprehensively provide meQTLs across 23 cancer types from The Cancer Genome Atlas by integrating genome-wide genotype and DNA methylation data. In total, we identified 8 028 964 cis-meQTLs and 965 050 trans-meQTLs. Among these, 23 432 meQTLs are associated with patient overall survival times. Furthermore, we identified 2 214 458 meQTLs that overlap with known loci identified through genome-wide association studies. Pancan-meQTL provides a user-friendly web interface (http://bioinfo.life.hust.edu.cn/Pancan-meQTL/) that is convenient for browsing, searching and downloading data of interest. This database is a valuable resource for investigating the roles of genetics and epigenetics in cancer.

Nucleic Acids Res. 2019:47(D1) | 30 Citations (from Europe PMC, 2024-12-21)

Ranking

All databases:
1599/6266 (74.497%)
Genotype phenotype and variation:
232/897 (74.247%)
Modification:
92/298 (69.463%)
1599
Total Rank
30
Citations
6
z-index

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Record metadata

Created on: 2019-01-04
Curated by:
Lina Ma [2019-01-23]
Dong Zou [2019-01-12]
Dong Zou [2019-01-04]