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.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 1061-4036 |
Sprache: | Englisch |
Dokumenten ID: | 52017 |
Datum der Veröffentlichung auf Open Access LMU: | 14. Jun. 2018, 09:48 |
Letzte Änderungen: | 04. Nov. 2020, 13:30 |