Association and Interactions between DNA Repair Gene Polymorphisms and Adult Glioma
- Yanhong Liu1,
- Michael E. Scheurer5,
- Randa El-Zein1,
- Yumei Cao1,
- Kim-Anh Do2,
- Mark Gilbert3,
- Kenneth D. Aldape4,
- Qingyi Wei1,
- Carol Etzel1 and
- Melissa L. Bondy1
- Departments of 1Epidemiology, 2Biostatistics, 3Neuro-Oncology, and 4Pathology, The University of Texas M. D. Anderson Cancer Center; and 5Department of Pediatrics and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Requests for reprints:
Melissa L. Bondy, Unit 1340, Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030. Phone: 713-794-5264; Fax: 713-792-9568. E-mail: mbondy{at}mdanderson.org
Abstract
It is generally accepted that glioma develops through accumulation of genetic alterations. We hypothesized that polymorphisms of candidate genes involved in the DNA repair pathways may contribute to susceptibility to glioma. To address this possibility, we conducted a study on 373 Caucasian glioma cases and 365 cancer-free Caucasian controls to assess associations between glioma risk and 18 functional single-nucleotide polymorphisms in DNA repair genes. We evaluated potential gene-gene and gene-environment interactions using a multianalytic strategy combining logistic regression, multifactor dimensionality reduction and classification and regression tree approaches. In the single-locus analysis, six single-nucleotide polymorphisms [ERCC1 3′ untranslated region (UTR), XRCC1 R399Q, APEX1 E148D, PARP1 A762V, MGMT F84L, and LIG1 5′UTR] showed a significant association with glioma risk. In the analysis of cumulative genetic risk of multiple single-nucleotide polymorphisms, a significant gene-dosage effect was found for increased glioma risk with increasing numbers of adverse genotypes involving the aforementioned six single-nucleotide polymorphisms (Ptrend = 0.0004). Furthermore, the multifactor dimensionality reduction and classification and regression tree analyses identified MGMT F84L as the predominant risk factor for glioma and revealed strong interactions among ionizing radiation exposure, PARP1 A762V, MGMT F84L, and APEX1 E148D. Interestingly, the risk for glioma was dramatically increased in ionizing radiation exposure individuals who had the wild-type genotypes of MGMT F84L and PARP1 A762V (adjusted odds ratios, 5.95; 95% confidence intervals, 2.21-16.65). Taken together, these results suggest that polymorphisms in DNA repair genes may act individually or together to contribute to glioma risk. (Cancer Epidemiol Biomarkers Prev 2009;18(1):204–14)
Footnotes
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Grant support: National Cancer Institute grant CA070917 (M.L. Bondy, principal investigator) and NIH National Institute of Environmental Health Sciences center grant P30 ES007784 (J. DiGiovanni, principal investigator). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH National Institute of Environmental Health Sciences.
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Note: Supplementary data for this article are available at Cancer Epidemiology Biomarkers and Prevention Online (http://cebp.aacrjournals.org/).
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- Accepted October 27, 2008.
- Received July 11, 2008.
- Revision received October 15, 2008.










