EGAGenomicsOtherhttps://ega-archive.org/studies/EGAS00001003372EGAEGA study EGAS00001003372Glioma GWAS summary statisticsEGArestrictedGenome-wide association studies (GWAS) have transformed our understanding of glioma susceptibility, but individual studies have had limited power to identify risk loci. We performed a meta-analysis of existing GWAS and two new GWAS, which totaled 12,496 cases and 18,190 controls. We identified five new loci for glioblastoma (GBM) at 1p31.3 (rs12752552; P = 2.04 × 10^-9, odds ratio (OR) = 1.22), 11q14.1 (rs11233250; P = 9.95 × 10^-10, OR = 1.24), 16p13.3 (rs2562152; P = 1.93 × 10^-8, OR = 1.21), 16q12.1 (rs10852606; P = 1.29 × 10^-11, OR = 1.18) and 22q13.1 (rs2235573; P = 1.76 × 10^-10, OR = 1.15), as well as eight loci for non-GBM tumors at 1q32.1 (rs4252707; P = 3.34 × 10^-9, OR = 1.19), 1q44 (rs12076373; P = 2.63 × 10^-10, OR = 1.23), 2q33.3 (rs7572263; P = 2.18 × 10^-10, OR = 1.20), 3p14.1 (rs11706832; P = 7.66 × 10^-9, OR = 1.15), 10q24.33 (rs11598018; P = 3.39 × 10^-8, OR = 1.14), 11q21 (rs7107785; P = 3.87 × 10^-10, OR = 1.16), 14q12 (rs10131032; P = 5.07 × 10^-11, OR = 1.33) and 16p13.3 (rs3751667; P = 2.61 × 10^-9, OR = 1.18). These data substantiate that genetic susceptibility to GBM and non-GBM tumors are highly distinct, which likely reflects different etiology.Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors.Melin Beatrice S BS, Barnholtz-Sloan Jill S JS, Wrensch Margaret R MR, Johansen Christoffer C, Il'yasova Dora D, Kinnersley Ben B, Ostrom Quinn T QT, Labreche Karim K, Chen Yanwen Y, Armstrong Georgina G, Liu Yanhong Y, Eckel-Passow Jeanette E JE, Decker Paul A PA, Labussière Marianne M, Idbaih Ahmed A, Hoang-Xuan Khe K, Di Stefano Anna-Luisa AL, Mokhtari Karima K, Delattre Jean-Yves JY, Broderick Peter P, Galan Pilar P, Gousias Konstantinos K, Schramm Johannes J, Schoemaker Minouk J MJ, Fleming Sarah J SJ, Herms Stefan S, Heilmann Stefanie S, Nöthen Markus M MM, Wichmann Heinz-Erich HE, Schreiber Stefan S, Swerdlow Anthony A, Lathrop Mark M, Simon Matthias M, Sanson Marc M, Andersson Ulrika U, Rajaraman Preetha P, Chanock Stephen S, Linet Martha M, Wang Zhaoming Z, Yeager Meredith M, Wiencke John K JK, Hansen Helen H, McCoy Lucie L, Rice Terri T, Kosel Matthew L ML, Sicotte Hugues H, Amos Christopher I CI, Bernstein Jonine L JL, Davis Faith F, Lachance Dan D, Lau Ching C, Merrell Ryan T RT, Shildkraut Joellen J, Ali-Osman Francis F, Sadetzki Siegal S, Scheurer Michael M, Shete Sanjay S, Lai Rose K RK, Claus Elizabeth B EB, Olson Sara H SH, Jenkins Robert B RB, Houlston Richard S RS, Bondy Melissa L MLfalseSummary statistics from genome-wide association study in glioma of 12,488 cases and 18,169 controls.Genome-wide association studies (GWAS) have transformed our understanding of glioma susceptibility, but individual studies have had limited power to identify risk loci. We performed a meta-analysis of existing GWAS and two new GWAS, which totaled 12,488 cases and 18,169 controls. We identified five new loci for glioblastoma (GBM) at 1p31.3 (rs12752552; P = 2.04 × 10-9, odds ratio (OR) = 1.22), 11q14.1 (rs11233250; P = 9.95 × 10-10, OR = 1.24), 16p13.3 (rs2562152; P = 1.93 × 10-8, OR = 1.21), 16q12.1 (rs10852606; P = 1.29 × 10-11, OR = 1.18) and 22q13.1 (rs2235573; P = 1.76 × 10-10, OR = 1.15), as well as eight loci for non-GBM tumors at 1q32.1 (rs4252707; P = 3.34 × 10-9, OR = 1.19), 1q44 (rs12076373; P = 2.63 × 10-10, OR = 1.23), 2q33.3 (rs7572263; P = 2.18 × 10-10, OR = 1.20), 3p14.1 (rs11706832; P = 7.66 × 10-9, OR = 1.15), 10q24.33 (rs11598018; P = 3.39 × 10-8, OR = 1.14), 11q21 (rs7107785; P = 3.87 × 10-10, OR = 1.16), 14q12 (rs10131032; P = 5.07 × 10-11, OR = 1.33) and 16p13.3 (rs3751667; P = 2.61 × 10-9, OR = 1.18). These data substantiate that genetic susceptibility to GBM and non-GBM tumors are highly distinct, which likely reflects different etiology.2019-02-20 08:51:55EGAS00001003372960628346443EGAD00010001657EGAC00001001116