| Literature DB >> 19578367 |
Sanjay Shete1, Fay J Hosking, Lindsay B Robertson, Sara E Dobbins, Marc Sanson, Beatrice Malmer, Matthias Simon, Yannick Marie, Blandine Boisselier, Jean-Yves Delattre, Khe Hoang-Xuan, Soufiane El Hallani, Ahmed Idbaih, Diana Zelenika, Ulrika Andersson, Roger Henriksson, A Tommy Bergenheim, Maria Feychting, Stefan Lönn, Anders Ahlbom, Johannes Schramm, Michael Linnebank, Kari Hemminki, Rajiv Kumar, Sarah J Hepworth, Amy Price, Georgina Armstrong, Yanhong Liu, Xiangjun Gu, Robert Yu, Ching Lau, Minouk Schoemaker, Kenneth Muir, Anthony Swerdlow, Mark Lathrop, Melissa Bondy, Richard S Houlston.
Abstract
To identify risk variants for glioma, we conducted a meta-analysis of two genome-wide association studies by genotyping 550K tagging SNPs in a total of 1,878 cases and 3,670 controls, with validation in three additional independent series totaling 2,545 cases and 2,953 controls. We identified five risk loci for glioma at 5p15.33 (rs2736100, TERT; P = 1.50 x 10(-17)), 8q24.21 (rs4295627, CCDC26; P = 2.34 x 10(-18)), 9p21.3 (rs4977756, CDKN2A-CDKN2B; P = 7.24 x 10(-15)), 20q13.33 (rs6010620, RTEL1; P = 2.52 x 10(-12)) and 11q23.3 (rs498872, PHLDB1; P = 1.07 x 10(-8)). These data show that common low-penetrance susceptibility alleles contribute to the risk of developing glioma and provide insight into disease causation of this primary brain tumor.Entities:
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Year: 2009 PMID： 19578367 PMCID： PMC4501476 DOI： 10.1038/ng.407
Source DB: PubMed Journal: Nat Genet ISSN： 1061-4036 Impact factor: 38.330