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


Authors: Melin, B. S.; Barnholtz-Sloan, J. S.; Wrensch, M. R.; Johansen, C.; Il'yasova, D.; Kinnersley, B.; Ostrom, Q. T.; Labreche, K.; Chen, Y. W.; Armstrong, G.; Liu, Y. H.; Eckel-Passow, J. E.; Decker, P. A.; Labussiere, M.; Idbaih, A.; Hoang-Xuan, K.; Di Stefano, A. L.; Mokhtari, K.; Delattre, J. Y.; Broderick, P.; Galan, P.; Gousias, K.; Schramm, J.; Schoemaker, M. J.; Fleming, S. J.; Herms, S.; Heilmann, S.; Nothen, M. M.; Wichmann, H. E.; Schreiber, S.; Swerdlow, A.; Lathrop, M.; Simon, M.; Sanson, M.; Andersson, U.; Rajaraman, P.; Chanock, S.; Linet, M.; Wang, Z. M.; Yeager, M.; Wiencke, J. K.; Hansen, H.; McCoy, L.; Rice, T.; Kosel, M. L.; Sicotte, H.; Amos, C. I.; Bernstein, J. L.; Davis, F.; Lachance, D.; Lau, C.; Merrell, R. T.; Shildkraut, J.; Ali-Osman, F.; Sadetzki, S.; Scheurer, M.; Shete, S.; Lai, R. K.; Claus, E. B.; Olson, S. H.; Jenkins, R. B.; Houlston, R. S.; Bondy, M. L.
Article Title: Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors
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 x 10(-9), odds ratio (OR) = 1.22), 11q14.1 (rs11233250; P = 9.95 x 10(-10), OR = 1.24), 16p13.3 (rs2562152; P = 1.93 x 10-8, OR = 1.21), 16q12.1 (rs10852606; P = 1.29 x 10(-11), OR = 1.18) and 22q13.1 (rs2235573; P = 1.76 x 10(-10), OR = 1.15), as well as eight loci for non-GBM tumors at 1q32.1 (rs4252707; P = 3.34 x 10(-9), OR = 1.19), 1q44 (rs12076373; P = 2.63 x 10(-10), OR = 1.23), 2q33.3 (rs7572263; P = 2.18 x 10(-10), OR = 1.20), 3p14.1 (rs11706832; P = 7.66 x 10(-9), OR = 1.15), 10q24.33 (rs11598018; P = 3.39 x 10-8, OR = 1.14), 11q21 (rs7107785; P = 3.87 x 10(-10), OR = 1.16), 14q12 (rs10131032; P = 5.07 x 10(-11), OR = 1.33) and 16p13.3 (rs3751667; P = 2.61 x 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.
Keywords: risk; population; breast-cancer; disease; central-nervous-system; complex; variants; loci; telomere length; adult glioma
Journal Title: Nature Genetics
Volume: 49
Issue: 5
ISSN: 1061-4036
Publisher: Nature Publishing Group  
Date Published: 2017-05-01
Start Page: 789
End Page: 794
Language: English
ACCESSION: WOS:000400051400019
DOI: 10.1038/ng.3823
PROVIDER: wos
PUBMED: 28346443
PMCID: PMC5558246
Notes: Article -- Source: Wos
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MSK Authors
  1. Sara H Olson
    212 Olson
  2. Jonine L Bernstein
    103 Bernstein