4.8 Article

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

期刊

NATURE GENETICS
卷 49, 期 5, 页码 789-+

出版社

NATURE PORTFOLIO
DOI: 10.1038/ng.3823

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资金

  1. US National Institutes of Health (NIH) [R01CA139020, R01CA52689, P30CA125123]
  2. McNair Medical Institute
  3. Population Sciences Biorepository at Baylor College of Medicine
  4. Acta Oncologica through the Royal Swedish Academy of Science
  5. Swedish Research Council
  6. Swedish Cancer Foundation
  7. Cancer Research UK - Bobby Moore Fund [C1298/A8362]
  8. Wellcome Trust
  9. DJ Fielding Medical Research Trust
  10. National Cancer Research Network
  11. European Union [QLK4-CT-1999-01563]
  12. International Union against Cancer (UICC)
  13. Mobile Manufacturers' Forum
  14. GSM Association
  15. UICC
  16. Mobile Telecommunications and Health Research (MTHR) Programme
  17. Health and Safety Executive, Department of Health and Safety Executive
  18. UK Network Operators
  19. Ligue Nationale Contre le Cancer
  20. Fondation ARC
  21. Institut National du Cancer (INCa) [PL046]
  22. French Ministry of Higher Education and Research
  23. program Investissements d'avenir [ANR-10-IAIHU-06]
  24. Genome Quebec
  25. le Ministere de l'Enseignement superieur, de la Recherche, de la Science et de la Technologie (MESRST) Quebec
  26. McGill University
  27. Deutsche Forschungsgemeinschaft [Si552, Schr285]
  28. Deutsche Krebshilfe [70-2385-Wi2, 70-3163-Wi3, 10-6262]
  29. BONFOR
  30. Wellcome Trust [076113, 085475]
  31. German Federal Ministry of Education and Research (BMBF)
  32. Helmholtz Zentrum Munchen
  33. German Research Center for Environmental Health, Neuherberg
  34. German National Genome Research Network (NGFN)
  35. Munich Center of Health Sciences (MC Health) as part of LMUinnovativ
  36. German Federal Ministry of Education and Research (BMBF) through the Integrated Network IntegraMent (Integrated Understanding of Causes and Mechanisms in Mental Disorders) - e:Med research and funding concept [01ZX1314A]
  37. DFG
  38. Alfried Krupp von Bohlen und Halbach-Stiftung
  39. BONFOR Programme of the University of Bonn, Germany
  40. NIH [R01CA139020, R01CA52689, P50CA097257, R01CA126831, P50CA108961, P30CA15083]
  41. Loglio Collective
  42. National Brain Tumor Foundation
  43. Stanley D. Lewis and Virginia S. Lewis Endowed Chair in Brain Tumor Research
  44. Robert Magnin Newman Endowed Chair in Neuro-oncology
  45. National Center for Research Resources
  46. National Center for Advancing Translational Sciences, NIH, through UCSF-CTSI [UL1 RR024131]
  47. National Cancer Institute's Surveillance, Epidemiology and End Results Program [HHSN261201000140C, HHSN261201000035C, HHSN261201000034C]
  48. Centers for Disease Control and Prevention's National Program of Cancer Registries [U58DP003862-01]
  49. National Institute of Neurological Disorders and Stroke [RC1NS068222Z]
  50. Bernie and Edith Waterman Foundation
  51. Ting Tsung and Wei Fong Chao Family Foundation

向作者/读者索取更多资源

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.

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