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Genome-wide association study identifies multiple susceptibility loci for glioma
Previous genome-wide association studies (GWASs) have shown that common genetic variation contributes to the heritable risk of glioma. To identify new glioma susceptibility loci, we conducted a meta-analysis of four GWAS (totalling 4,147 cases and 7,435 controls), with imputation using 1000 Genomes...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Pub. Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4600760/ https://www.ncbi.nlm.nih.gov/pubmed/26424050 http://dx.doi.org/10.1038/ncomms9559 |
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author | Kinnersley, Ben Labussière, Marianne Holroyd, Amy Di Stefano, Anna-Luisa Broderick, Peter Vijayakrishnan, Jayaram Mokhtari, Karima Delattre, Jean-Yves Gousias, Konstantinos Schramm, Johannes Schoemaker, Minouk J. Fleming, Sarah J. Herms, Stefan Heilmann, Stefanie Schreiber, Stefan Wichmann, Heinz-Erich Nöthen, Markus M. Swerdlow, Anthony Lathrop, Mark Simon, Matthias Bondy, Melissa Sanson, Marc Houlston, Richard S. |
author_facet | Kinnersley, Ben Labussière, Marianne Holroyd, Amy Di Stefano, Anna-Luisa Broderick, Peter Vijayakrishnan, Jayaram Mokhtari, Karima Delattre, Jean-Yves Gousias, Konstantinos Schramm, Johannes Schoemaker, Minouk J. Fleming, Sarah J. Herms, Stefan Heilmann, Stefanie Schreiber, Stefan Wichmann, Heinz-Erich Nöthen, Markus M. Swerdlow, Anthony Lathrop, Mark Simon, Matthias Bondy, Melissa Sanson, Marc Houlston, Richard S. |
author_sort | Kinnersley, Ben |
collection | PubMed |
description | Previous genome-wide association studies (GWASs) have shown that common genetic variation contributes to the heritable risk of glioma. To identify new glioma susceptibility loci, we conducted a meta-analysis of four GWAS (totalling 4,147 cases and 7,435 controls), with imputation using 1000 Genomes and UK10K Project data as reference. After genotyping an additional 1,490 cases and 1,723 controls we identify new risk loci for glioblastoma (GBM) at 12q23.33 (rs3851634, near POLR3B, P=3.02 × 10(−9)) and non-GBM at 10q25.2 (rs11196067, near VTI1A, P=4.32 × 10(−8)), 11q23.2 (rs648044, near ZBTB16, P=6.26 × 10(−11)), 12q21.2 (rs12230172, P=7.53 × 10(−11)) and 15q24.2 (rs1801591, near ETFA, P=5.71 × 10(−9)). Our findings provide further insights into the genetic basis of the different glioma subtypes. |
format | Online Article Text |
id | pubmed-4600760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Pub. Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46007602015-10-21 Genome-wide association study identifies multiple susceptibility loci for glioma Kinnersley, Ben Labussière, Marianne Holroyd, Amy Di Stefano, Anna-Luisa Broderick, Peter Vijayakrishnan, Jayaram Mokhtari, Karima Delattre, Jean-Yves Gousias, Konstantinos Schramm, Johannes Schoemaker, Minouk J. Fleming, Sarah J. Herms, Stefan Heilmann, Stefanie Schreiber, Stefan Wichmann, Heinz-Erich Nöthen, Markus M. Swerdlow, Anthony Lathrop, Mark Simon, Matthias Bondy, Melissa Sanson, Marc Houlston, Richard S. Nat Commun Article Previous genome-wide association studies (GWASs) have shown that common genetic variation contributes to the heritable risk of glioma. To identify new glioma susceptibility loci, we conducted a meta-analysis of four GWAS (totalling 4,147 cases and 7,435 controls), with imputation using 1000 Genomes and UK10K Project data as reference. After genotyping an additional 1,490 cases and 1,723 controls we identify new risk loci for glioblastoma (GBM) at 12q23.33 (rs3851634, near POLR3B, P=3.02 × 10(−9)) and non-GBM at 10q25.2 (rs11196067, near VTI1A, P=4.32 × 10(−8)), 11q23.2 (rs648044, near ZBTB16, P=6.26 × 10(−11)), 12q21.2 (rs12230172, P=7.53 × 10(−11)) and 15q24.2 (rs1801591, near ETFA, P=5.71 × 10(−9)). Our findings provide further insights into the genetic basis of the different glioma subtypes. Nature Pub. Group 2015-10-01 /pmc/articles/PMC4600760/ /pubmed/26424050 http://dx.doi.org/10.1038/ncomms9559 Text en Copyright © 2015, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Kinnersley, Ben Labussière, Marianne Holroyd, Amy Di Stefano, Anna-Luisa Broderick, Peter Vijayakrishnan, Jayaram Mokhtari, Karima Delattre, Jean-Yves Gousias, Konstantinos Schramm, Johannes Schoemaker, Minouk J. Fleming, Sarah J. Herms, Stefan Heilmann, Stefanie Schreiber, Stefan Wichmann, Heinz-Erich Nöthen, Markus M. Swerdlow, Anthony Lathrop, Mark Simon, Matthias Bondy, Melissa Sanson, Marc Houlston, Richard S. Genome-wide association study identifies multiple susceptibility loci for glioma |
title | Genome-wide association study identifies multiple susceptibility loci for glioma |
title_full | Genome-wide association study identifies multiple susceptibility loci for glioma |
title_fullStr | Genome-wide association study identifies multiple susceptibility loci for glioma |
title_full_unstemmed | Genome-wide association study identifies multiple susceptibility loci for glioma |
title_short | Genome-wide association study identifies multiple susceptibility loci for glioma |
title_sort | genome-wide association study identifies multiple susceptibility loci for glioma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4600760/ https://www.ncbi.nlm.nih.gov/pubmed/26424050 http://dx.doi.org/10.1038/ncomms9559 |
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