ArticleNucleic acids research2019
Pancan-meQTL: a database to systematically evaluate the effects of genetic variants on methylation in human cancer.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 68 citations in OpenAlex.
- Expression quantitative trait methylation across multiple cancer types with functional and therapeutic characterization using Onco-eQTM.NAR genomics and bioinformatics · 2026Article
- Large-scale pleiotropic analysis across cancers reveals shared genetic mechanisms and identifies novel functional genes.Briefings in bioinformatics · 2026Article
- Population epigenetics: deciphering DNA methylation diversity and its implications for health, disease, and evolution.Molecular biology and evolution · 2026Review
- Integrated genetic and epigenetic analysis identifies that rs939408 affects non-smoking lung adenocarcinoma risk by modulating the DNA methylation of LRRC2.Cell death & disease · 2025Article
- Characterization of cis-regulatory elements and functional variants in colorectal cancer using epigenomics and CRISPRi screenings.Nature cancer · 2025Article
- CanASM: a comprehensive database for genome-wide allele-specific DNA methylation identification and annotation in cancer.BMC genomics · 2025Article
- Transcriptome-wide association study of alternative polyadenylation identifies susceptibility genes in non-small cell lung cancer.Oncogene · 2025Article
- SurvDB: Systematic Identification of Potential Prognostic Biomarkers in 33 Cancer Types.International journal of molecular sciences · 2025Article
- Comprehensive characterization of the transcriptional landscape in Alzheimer's disease (AD) brains.Science advances · 2025Article
- Article
- CancerMHL: the database of integrating key DNA methylation, histone modifications and lncRNAs in cancer.Database : the journal of biological databases and curation · 2024Article
- Causal effect of gut microbiota on pancreatic cancer: A Mendelian randomization and colocalization study.Journal of cellular and molecular medicine · 2024Article
- Alternative polyadenylation quantitative trait methylation mapping in human cancers provides clues into the molecular mechanisms of APA.American journal of human genetics · 2024Article
- MethMarkerDB: a comprehensive cancer DNA methylation biomarker database.Nucleic acids research · 2024Article
- Leveraging molecular quantitative trait loci to comprehend complex diseases/traits from the omics perspective.Human genetics · 2023Review
- A two-stage genome-wide association study identifies novel germline genetic variations in CACNA2D3 associated with radiotherapy response in nasopharyngeal carcinoma.Journal of translational medicine · 2023Article
- ChromLoops: a comprehensive database for specific protein-mediated chromatin loops in diverse organisms.Nucleic acids research · 2023Article
- Epigenetic germline variants predict cancer prognosis and risk and distribute uniquely in topologically associating domains.F1000Research · 2023Article
- Pancan-MNVQTLdb: systematic identification of multi-nucleotide variant quantitative trait loci in 33 cancer types.NAR cancer · 2022Article
- A critical review of datasets and computational suites for improving cancer theranostics and biomarker discovery.Medical oncology (Northwood, London, England) · 2022Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.