Human Molecular Genetics Advance Access originally published online on November 29, 2007
Human Molecular Genetics 2008 17(6):800-805; doi:10.1093/hmg/ddm351
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Comprehensive analysis of the role of DNA repair gene polymorphisms on risk of glioma
1 Section of Cancer Genetics 2 Section of Epidemiology, Institute of Cancer Research, 15 Cotswold Rd, Sutton, Surrey SM2 5NG, UK 3 Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark 4 Division of Epidemiology and Public Health, University of Nottingham Medical School Queens Medical Centre, Nottingham, UK 5 Centre for Epidemiology and Biostatistics, University of Leeds, UK 6 Division of Epidemiology, Institute of Environmental Medicine 7 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden 8 Department of Radiation Sciences, Oncology Umeå University, Sweden 9 Department of Epidemiology, Tampere School of Public Health, University of Tampere, Finland 10 Department of Research and Environmental Surveillance, Radiation and Nuclear Safety Authority, STUK, Helsinki, Finland
* To whom correspondence should be addressed. Tel: +44 2087224175; Fax: +44 2087224059; Email: richard.houlston{at}icr.ac.uk
Received October 16, 2007; Accepted November 28, 2007
Much of the variation in inherited risk of glioma is likely to be explained by combinations of common low risk variants. The established relationship between glioma risk and exposure to ionizing radiation led us to examine whether variants in the DNA repair genes contribute to disease susceptibility. We evaluated 1127 haplotype-tagging single-nucleotide polymorphisms (SNPs) supplemented with 388 putative functional SNPs to capture most of the common variation in 136 DNA repair genes, in five unique case–control series from four different countries (1013 cases, 1016 controls). We identified 16 SNPs associated with glioma risk at the 1% significance level. The highest association observed across the five independent case–control datasets involved rs243356, which maps to intron 3 of CHAF1A (trend odds ratio, 1.32; 95% confidence interval 1.14–1.54; P = 0.0002; false-positive report probability = 0.055, based on a prior probability of 0.01). Our results provide additional support for the hypothesis that low penetrance variants contribute to the risk of developing glioma and suggest that a genetic variant located in or around the CHAF1A gene contributes to disease risk.
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