Cargando…

Relation between Established Glioma Risk Variants and DNA Methylation in the Tumor

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 establis...

Descripción completa

Detalles Bibliográficos
Autores principales: Dahlin, Anna M., Wibom, Carl, Ghasimi, Soma, Brännström, Thomas, Andersson, Ulrika, Melin, Beatrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079592/
https://www.ncbi.nlm.nih.gov/pubmed/27780202
http://dx.doi.org/10.1371/journal.pone.0163067
_version_ 1782462571771592704
author Dahlin, Anna M.
Wibom, Carl
Ghasimi, Soma
Brännström, Thomas
Andersson, Ulrika
Melin, Beatrice
author_facet Dahlin, Anna M.
Wibom, Carl
Ghasimi, Soma
Brännström, Thomas
Andersson, Ulrika
Melin, Beatrice
author_sort Dahlin, Anna M.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-5079592
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-50795922016-11-04 Relation between Established Glioma Risk Variants and DNA Methylation in the Tumor Dahlin, Anna M. Wibom, Carl Ghasimi, Soma Brännström, Thomas Andersson, Ulrika Melin, Beatrice PLoS One Research Article 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. Public Library of Science 2016-10-25 /pmc/articles/PMC5079592/ /pubmed/27780202 http://dx.doi.org/10.1371/journal.pone.0163067 Text en © 2016 Dahlin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Dahlin, Anna M.
Wibom, Carl
Ghasimi, Soma
Brännström, Thomas
Andersson, Ulrika
Melin, Beatrice
Relation between Established Glioma Risk Variants and DNA Methylation in the Tumor
title Relation between Established Glioma Risk Variants and DNA Methylation in the Tumor
title_full Relation between Established Glioma Risk Variants and DNA Methylation in the Tumor
title_fullStr Relation between Established Glioma Risk Variants and DNA Methylation in the Tumor
title_full_unstemmed Relation between Established Glioma Risk Variants and DNA Methylation in the Tumor
title_short Relation between Established Glioma Risk Variants and DNA Methylation in the Tumor
title_sort relation between established glioma risk variants and dna methylation in the tumor
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079592/
https://www.ncbi.nlm.nih.gov/pubmed/27780202
http://dx.doi.org/10.1371/journal.pone.0163067
work_keys_str_mv AT dahlinannam relationbetweenestablishedgliomariskvariantsanddnamethylationinthetumor
AT wibomcarl relationbetweenestablishedgliomariskvariantsanddnamethylationinthetumor
AT ghasimisoma relationbetweenestablishedgliomariskvariantsanddnamethylationinthetumor
AT brannstromthomas relationbetweenestablishedgliomariskvariantsanddnamethylationinthetumor
AT anderssonulrika relationbetweenestablishedgliomariskvariantsanddnamethylationinthetumor
AT melinbeatrice relationbetweenestablishedgliomariskvariantsanddnamethylationinthetumor