Skip to main content

Abstract 4173: Previously identified common glioma risk SNPs are associated with familial glioma

Publication ,  Conference
Ostrom, QT; Armstrong, G; Amos, CI; Bernstein, JL; Claus, EB; Eckel-Passow, JE; Il'yasova, D; Johansen, C; Lachance, DH; Lai, RK; Merrell, RT ...
Published in: Cancer Research
July 1, 2019

BACKGROUND: Approximately 5% of gliomas occur in individuals with a family history of glioma, and first-degree relatives of brain tumor cases have a two-fold increase in risk of brain tumor. Recent somatic characterization has shown that tumors from familial cases are indistinguishable from sporadic cases, suggesting that familial cases may arise through similar mechanisms of gliomagenesis, and therefore may be associated with common variants as well as rare mutations. In this analysis, we assessed whether previously identified common risk variants are associated with familial glioma.METHODS: Data were obtained from the Glioma International Case Control (GICC) and Gliogene studies for 448 cases with reported family history, 4,405 cases without reported family history, and 3,288 controls. We assessed 25 risk loci previously identified by glioma GWAS, and odds ratios (OR) and 95% confidence intervals (95%CI) were calculated using an additive genetic logistic regression model adjusted for age, sex, and the first two principal components for familial cases versus unaffected controls, and non-familial cases versus controls. Results were considered significant at p<0.002 (Bonferroni correction for 25 tests).RESULTS: Significant associations were detected at 5/25 loci, including TERT, EGFR, CCDC26, CDKN2B, and RTEL1. The strongest association was at rs55705857 (CCDC26, OR=2.7, p=7.49x10-17). For GBM (222 familial cases), significant associations were detected at 6/26 loci (TERT, EGFR, CDKN2B, TP53 and RTEL1), while in non-GBM (205 familial cases) significant associations were detected at 3/25 loci (LRIG1, CCDC26, PHLDB1). These SNPs were further examined using a case-only approach comparing familial to non-familial cases, and there was no significant difference in allele frequencies by family history status. There was a strong correlation between log(OR) for familial cases only versus non-familial cases (adjusted R2=0.88).CONCLUSIONS: In this analysis we identified a significant association between familial glioma and five common risk loci previously identified by glioma GWAS. This provides further evidence of shared pathways of genetic risk and gliomagenesis between familial and non-familial glioma. Further exploration is necessary to determine the overall contribution of common genetic variation to risk of familial glioma.Citation Format: Quinn T. Ostrom, Georgina Armstrong, Christopher I. Amos, Jonine L. Bernstein, Elizabeth B. Claus, Jeanette E. Eckel-Passow, Dora Il'yasova, Christoffer Johansen, Daniel H. Lachance, Rose K. Lai, Ryan T. Merrell, Sara H. Olson, Joellen H. Schildkraut, Sanjay S. Shete, Richard S. Houlston, Robert B. Jenkins, Margaret R. Wrensch, Beatrice Melin, Jill S. Barnholtz-Sloan, Melissa L. Bondy. Previously identified common glioma risk SNPs are associated with familial glioma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4173.

Duke Scholars

Published In

Cancer Research

DOI

EISSN

1538-7445

ISSN

0008-5472

Publication Date

July 1, 2019

Volume

79

Issue

13_Supplement

Start / End Page

4173 / 4173

Publisher

American Association for Cancer Research (AACR)

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 3101 Biochemistry and cell biology
  • 1112 Oncology and Carcinogenesis
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ostrom, Q. T., Armstrong, G., Amos, C. I., Bernstein, J. L., Claus, E. B., Eckel-Passow, J. E., … Bondy, M. L. (2019). Abstract 4173: Previously identified common glioma risk SNPs are associated with familial glioma. In Cancer Research (Vol. 79, pp. 4173–4173). American Association for Cancer Research (AACR). https://doi.org/10.1158/1538-7445.am2019-4173
Ostrom, Quinn T., Georgina Armstrong, Christopher I. Amos, Jonine L. Bernstein, Elizabeth B. Claus, Jeanette E. Eckel-Passow, Dora Il’yasova, et al. “Abstract 4173: Previously identified common glioma risk SNPs are associated with familial glioma.” In Cancer Research, 79:4173–4173. American Association for Cancer Research (AACR), 2019. https://doi.org/10.1158/1538-7445.am2019-4173.
Ostrom QT, Armstrong G, Amos CI, Bernstein JL, Claus EB, Eckel-Passow JE, et al. Abstract 4173: Previously identified common glioma risk SNPs are associated with familial glioma. In: Cancer Research. American Association for Cancer Research (AACR); 2019. p. 4173–4173.
Ostrom, Quinn T., et al. “Abstract 4173: Previously identified common glioma risk SNPs are associated with familial glioma.” Cancer Research, vol. 79, no. 13_Supplement, American Association for Cancer Research (AACR), 2019, pp. 4173–4173. Crossref, doi:10.1158/1538-7445.am2019-4173.
Ostrom QT, Armstrong G, Amos CI, Bernstein JL, Claus EB, Eckel-Passow JE, Il’yasova D, Johansen C, Lachance DH, Lai RK, Merrell RT, Olson SH, Schildkraut JH, Shete SS, Houlston RS, Jenkins RB, Wrensch MR, Melin B, Barnholtz-Sloan JS, Bondy ML. Abstract 4173: Previously identified common glioma risk SNPs are associated with familial glioma. Cancer Research. American Association for Cancer Research (AACR); 2019. p. 4173–4173.

Published In

Cancer Research

DOI

EISSN

1538-7445

ISSN

0008-5472

Publication Date

July 1, 2019

Volume

79

Issue

13_Supplement

Start / End Page

4173 / 4173

Publisher

American Association for Cancer Research (AACR)

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 3101 Biochemistry and cell biology
  • 1112 Oncology and Carcinogenesis