Pancan-meQTL Edit

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Basic information
Short name Pancan-meQTL
Full name
Description a database to systematically evaluate the effects of genetic variants on methylation in human cancer.
Year founded
Last update & version
Availability Free to academic users only
Contact information
University/Institution hosted Huazhong University of Science and Technology
City Wuhan
Province/State Hubei
Country/Region China
Contact name Jing Gong
Contact email
Data information
Data object
  • Animal
Data type
  • DNA
Database category
  • Genotype phenotype and variation
  • Modification
Major organism
  • Homo sapiens
  • Pan-cancer
  • methylation
  • Pancan-meQTL: a database to systematically evaluate the effects of genetic variants on methylation in human cancer. [PMID: 30203047]
    Jing Gong, Hao Wan, Shufang Mei, Hang Ruan, Zhao Zhang, Chunjie Liu, An-Yuan Guo, Lixia Diao, Xiaoping Miao, Leng Han

    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 ( 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)

    0 Citations (from Europe PMC, 2019-01-19)

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Record metadata

  • Created on: 2019-01-04
    • ***ina@*** [2019-01-23]
    • ***d@*** [2019-01-12]
    • ***d@*** [2019-01-12]
    • ***d@*** [2019-01-04]

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