4.5 Article

Chromosome 7p11.2 (EGFR) variation influences glioma risk

期刊

HUMAN MOLECULAR GENETICS
卷 20, 期 14, 页码 2897-2904

出版社

OXFORD UNIV PRESS
DOI: 10.1093/hmg/ddr192

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资金

  1. Wellcome Trust and Cancer Research UK [C1298/A8362]
  2. DJ Fielding Medical Research Trust
  3. European Union [QLK4-CT-1999-01563]
  4. International Union against Cancer (UICC)
  5. Mobile Manufacturers' Forum and GSM Association
  6. Mobile Telecommunications and Health Research (MTHR) Programme
  7. Department of Health
  8. UK Network
  9. NIH [5R01(CA1192155R01 CA070917)]
  10. American Brain Tumor Association
  11. National Brain Tumor Society
  12. Delegation a la Recherche Clinique [MUL03012]
  13. Association pour la Recherche sur les Tumeurs Cerebrales (ARTC)
  14. Institut National du Cancer (INCa) [PL046]
  15. French Ministry of Higher Education and Research
  16. Deutsche Forschungsgemeinschaft [Si552, Schr285]
  17. Deutsche Krebshilfe [70-2385-Wi2,70-3163-Wi3,10-6262]
  18. BONFOR
  19. Wellcome Trust [076113085475]
  20. German Federal Ministry of Education and Research (BMBF)
  21. Helmholtz Zentrum Munchen, German Research Center for Environmental Health, Neuherberg
  22. German National Genome Research Network (NGFN) within the Munich Center of Health Sciences (MC Health) as part of LMUinnovativ

向作者/读者索取更多资源

While gliomas are the most common primary brain tumors, their etiology is largely unknown. To identify novel risk loci for glioma, we conducted genome-wide association (GWA) analysis of two case-control series from France and Germany (2269 cases and 2500 controls). Pooling these data with previously reported UK and US GWA studies provided data on 4147 glioma cases and 7435 controls genotyped for 424 460 common tagging single-nucleotide polymorphisms. Using these data, we demonstrate two statistically independent associations between glioma and rs11979158 and rs2252586, at 7p11.2 which encompasses the EGFR gene (population-corrected statistics, P-c = 7.72 x 10(-8) and 2.09 x 10(-8), respectively). Both associations were independent of tumor subtype, and were independent of EGFR amplification, p16INK4a deletion and IDH1 mutation status in tumors; compatible with driver effects of the variants on glioma development. These findings show that variation in 7p11.2 is a determinant of inherited glioma risk.

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