Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors.

Authors:
Beatrice S Melin, Jill S Barnholtz-Sloan, Margaret R Wrensch, Christoffer Johansen, Dora Il'yasova, Ben Kinnersley, Quinn T Ostrom, Karim Labreche, Yanwen Chen, Georgina Armstrong, Yanhong Liu, Jeanette E Eckel-Passow, Paul A Decker, Marianne Labussière, Ahmed Idbaih, Khe Hoang-Xuan, Anna-Luisa Di Stefano, Karima Mokhtari, Jean-Yves Delattre, Peter Broderick, Pilar Galan, Konstantinos Gousias, Johannes Schramm, Minouk J Schoemaker, Sarah J Fleming, Stefan Herms, Stefanie Heilmann, Markus M Nöthen, Heinz-Erich Wichmann, Stefan Schreiber, Anthony Swerdlow, Mark Lathrop, Matthias Simon, Marc Sanson, Ulrika Andersson, Preetha Rajaraman, Stephen Chanock, Martha Linet, Zhaoming Wang, Meredith Yeager, John K Wiencke, Helen Hansen, Lucie McCoy, Terri Rice, Matthew L Kosel, Hugues Sicotte, Christopher I Amos, Jonine L Bernstein, Faith Davis, Dan Lachance, Ching Lau, Ryan T Merrell, Joellen Shildkraut, Francis Ali-Osman, Siegal Sadetzki, Michael Scheurer, Sanjay Shete, Rose K Lai, Elizabeth B Claus, Sara H Olson, Robert B Jenkins, Richard S Houlston, Melissa L Bondy
Year of publication:
2017
Volume:
-
Issue:
-
Issn:
1061-4036
Journal title abbreviated:
NAT GENET
Journal title long:
Nature genetics
Impact factor:
31.616
Abstract:
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 12,496 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.