Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors
Publikation: Bidrag til tidsskrift › Letter › Forskning › fagfællebedømt
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Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors. / Melin, Beatrice S; Barnholtz-Sloan, Jill S; Wrensch, Margaret R.; Johansen, Christoffer; Il'yasova, Dora; Kinnersley, Ben; Ostrom, Quinn T; Labreche, Karim; Chen, Yanwen; Armstrong, Georgina N; Liu, Yanhong; Eckel-Passow, Jeanette; Decker, Paul A; Labussière, Marianne; Idbaih, Ahmed; Hoang-Xuan, Khe; Di Stefano, Anna-Luisa; Mokhtari, Karima; Delattre, Jean-Yves; Broderick, Peter; Galan, Pilar; Gousias, Konstantinos; Schramm, Johannes; Schoemaker, Minouk J; Fleming, Sarah J; Herms, Stefan; Heilmann-Heimbach, Stefanie; Nöthen, Markus M; Wichmann, Heinz-Erich; Schreiber, Stefan; Swerdlow, Anthony; Lathrop, Mark; Simon, Matthias; Sanson, Marc; Andersson, Ulrika; Rajaraman, Preetha; Chanock, Stephen; Linet, Martha S; Wang, Zhaoming; Yeager, Meredith; GliomaScan Consortium; Wiencke, John K; Hansen, Helen; Mccoy, Lucie S.; Rice, Terri; Kosel, Matthew L; Sicotte, Hugues; Amos, Christopher I; Bernstein, Jonine L; Davis, Faith G; Lachance, Dan.
I: Nature Genetics, Bind 49, Nr. 5, 2017, s. 789-794.Publikation: Bidrag til tidsskrift › Letter › Forskning › fagfællebedømt
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TY - JOUR
T1 - Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors
AU - Melin, Beatrice S
AU - Barnholtz-Sloan, Jill S
AU - Wrensch, Margaret R.
AU - Johansen, Christoffer
AU - Il'yasova, Dora
AU - Kinnersley, Ben
AU - Ostrom, Quinn T
AU - Labreche, Karim
AU - Chen, Yanwen
AU - Armstrong, Georgina N
AU - Liu, Yanhong
AU - Eckel-Passow, Jeanette
AU - Decker, Paul A
AU - Labussière, Marianne
AU - Idbaih, Ahmed
AU - Hoang-Xuan, Khe
AU - Di Stefano, Anna-Luisa
AU - Mokhtari, Karima
AU - Delattre, Jean-Yves
AU - Broderick, Peter
AU - Galan, Pilar
AU - Gousias, Konstantinos
AU - Schramm, Johannes
AU - Schoemaker, Minouk J
AU - Fleming, Sarah J
AU - Herms, Stefan
AU - Heilmann-Heimbach, Stefanie
AU - Nöthen, Markus M
AU - Wichmann, Heinz-Erich
AU - Schreiber, Stefan
AU - Swerdlow, Anthony
AU - Lathrop, Mark
AU - Simon, Matthias
AU - Sanson, Marc
AU - Andersson, Ulrika
AU - Rajaraman, Preetha
AU - Chanock, Stephen
AU - Linet, Martha S
AU - Wang, Zhaoming
AU - Yeager, Meredith
AU - GliomaScan Consortium
AU - Wiencke, John K
AU - Hansen, Helen
AU - Mccoy, Lucie S.
AU - Rice, Terri
AU - Kosel, Matthew L
AU - Sicotte, Hugues
AU - Amos, Christopher I
AU - Bernstein, Jonine L
AU - Davis, Faith G
AU - Lachance, Dan
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Journal Article
U2 - 10.1038/ng.3823
DO - 10.1038/ng.3823
M3 - Letter
C2 - 28346443
VL - 49
SP - 789
EP - 794
JO - Nature Genetics
JF - Nature Genetics
SN - 1061-4036
IS - 5
ER -
ID: 179439700