ArticlePloS one2016
Relation between Established Glioma Risk Variants and DNA Methylation in the Tumor.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- CanASM: a comprehensive database for genome-wide allele-specific DNA methylation identification and annotation in cancer.BMC genomics · 2025Article
- The Long Non-Coding RNA ANRIL in Cancers.Cancers · 2023Review
- Role of DNA methylation in the relationship between glioma risk factors and glioma incidence: a two-step Mendelian randomization study.Scientific reports · 2023Article
- CanMethdb: a database for genome-wide DNA methylation annotation in cancers.Bioinformatics (Oxford, England) · 2023Article
- Asian-specific 3'UTR variant in CDKN2B associated with risk of pituitary adenoma.Molecular biology reports · 2022Article
- Article
- Oligodendroglioma: A Review of Management and Pathways.Frontiers in molecular neuroscience · 2021Review
- The Genetic Architecture of Gliomagenesis-Genetic Risk Variants Linked to Specific Molecular Subtypes.Cancers · 2019Review
- Glioma CpG island methylator phenotype (G-CIMP): biological and clinical implications.Neuro-oncology · 2018Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies and candidate gene studies have identified several genetic variants that increase glioma risk. The majority of these variants are non-coding and the mechanisms behind the increased risk in carriers are not known. In this study, we hypothesize that some of the established glioma risk variants induce aberrant DNA methylation in the developing tumor, either locally (gene-specific) or globally (genome-wide). In a pilot data set including 77 glioma patients, we used Illumina beadchip technology to analyze genetic variants in blood and DNA methylation in matched tumor samples. To validate our findings, we used data from the Cancer Genome Atlas, including 401 glioblastoma patients. Consensus clustering identified the glioma CpG island methylator phenotype (gCIMP) and two additional subgroups with distinct patterns of global DNA methylation. In the pilot dataset, gCIMP was associated with two genetic variants in CDKN2B-AS1, rs1412829 and rs4977756 (9p21.3, p = 8.1 x 10-7 and 4.8 x 10-5, respectively). The association was in the same direction in the TCGA dataset, although statistically significant only when combining individuals with AG and GG genotypes. We also investigated the relation between glioma risk variants and DNA methylation in the promoter region of genes located within 30 kb of each variant. One association in the pilot dataset, between the TERT risk variant rs2736100 and lower methylation of cg23827991 (in TERT; p = 0.001), was confirmed in the TCGA dataset (p = 0.001). In conclusion, we found an association between rs1412829 and rs4977756 (9p21.3, CDKN2B-AS1) and global DNA methylation pattern in glioma, for which a trend was seen also in the TCGA glioblastoma dataset. We also found an association between rs2736100 (in TERT) and levels of methylation at cg23827991 (localized in the same gene, 3.3 kbp downstream of the risk variant), which was validated in the TCGA dataset. Except for this one association, we did not find strong evidence for gene-specific DNA methylation mediated by glioma risk variants.
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