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Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors
Umeå University, Faculty of Medicine, Department of Radiation Sciences.
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2017 (English)In: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718, Vol. 49, no 5, 789-794 p.Article in journal, Letter (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 49, no 5, 789-794 p.
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Medical Genetics
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URN: urn:nbn:se:umu:diva-135267DOI: 10.1038/ng.3823ISI: 000400051400019PubMedID: 28346443OAI: oai:DiVA.org:umu-135267DiVA: diva2:1098809
Available from: 2017-05-26 Created: 2017-05-26 Last updated: 2017-05-26Bibliographically approved

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Melin, Beatrice S.Andersson, Ulrika
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CiteExportLink to record
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