Journal
NATURE COMMUNICATIONS
Volume 6, Issue -, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/ncomms9559
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Funding
- Cancer Research UK - Bobby Moore Fund [C1298/A8362]
- Wellcome Trust
- DJ Fielding Medical Research Trust
- PhD studentship - Sir John Fisher Foundation
- National Cancer Research Network
- European Union Fifth Framework Program 'Quality of life and Management of Living Resources' [QLK4-CT-1999-01563]
- International Union against Cancer (UICC)
- Mobile Manufacturers' Forum
- GSM Association
- UICC
- Mobile Telecommunications and Health Research (MTHR) Programme
- Health and Safety Executive, Department of Health and Safety Executive
- UK Network Operators
- Ligue Nationale contre le Cancer
- fondation ARC
- Institut National du Cancer (INCa) [PL046]
- French Ministry of Higher Education and Research
- program 'Investissements d'avenir' [ANR-10-IAIHU-06]
- Genome Quebec
- Ministere de l'Enseignement superieur, de la Recherche, de la Science et de la Technologie (MESRST) Quebec
- McGill University
- Deutsche Forschungsgemeinschaft [Si552, Schr285]
- Deutsche Krebshilfe [70-2385-Wi2, 70-3163-Wi3, 10-6262]
- BONFOR
- Wellcome Trust [076113, 085475]
- German Federal Ministry of Education and Research (BMBF)
- Helmholtz Zentrum Munchen, German Research Center for Environmental Health, Neuherberg
- German National Genome Research Network (NGFN)
- Munich Center of Health Sciences (MC Health) as part of LMUinnovativ
- German Federal Ministry of Education and Research (BMBF) through the Integrated Network IntegraMent (Integrated Understanding of Causes and Mechanisms in Mental Disorders) [01ZX1314A]
- Alfried Krupp von Bohlen und Halbach-Stiftung
- Heinz Nixdorf Foundation
- BONFOR Programme of the University of Bonn, Germany
- Cancer Research UK [15116] Funding Source: researchfish
- Medical Research Council [MC_PC_15018] Funding Source: researchfish
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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 x 10(-9)) and non-GBM at 10q25.2 (rs11196067, near VTI1A, P = 4.32 x 10(-8)), 11q23.2 (rs648044, near ZBTB16, P = 6.26 x 10(-11)), 12q21.2 (rs12230172, P = 7.53 x 10(-11)) and 15q24.2 (rs1801591, near ETFA, P = 5.71 x 10(-9)). Our findings provide further insights into the genetic basis of the different glioma subtypes.
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