Known glioma risk loci are associated with glioma with a family history of brain tumours—A case–control gene association study
Year: 2012
Type: article
Study design: Observational Study
Abstract: Familial cancer can be used to leverage genetic association studies. Recent genome-wide association studies have reported independent associations between seven single nucleotide polymorphisms (SNPs) and risk of glioma. The aim of this study was to investigate whether glioma cases with a positive family history of brain tumours, defined as having at least one first- or second-degree relative with a history of brain tumour, are associated with known glioma risk loci. One thousand four hundred and thirty-one glioma cases and 2,868 cancer-free controls were identified from four case-control studies and two prospective cohorts from USA, Sweden and Denmark and genotyped for seven SNPs previously reported to be associated with glioma risk in case-control designed studies. Odds ratios were calculated by unconditional logistic regression. In analyses including glioma cases with a family history of brain tumours (n = 104) and control subjects free of glioma at baseline, three of seven SNPs were associated with glioma risk: rs2736100 (5p15.33, TERT), rs4977756 (9p21.3, CDKN2A-CDKN2B) and rs6010620 (20q13.33, RTEL1). After Bonferroni correction for multiple comparisons, only one marker was statistically significantly associated with glioma risk, rs6010620 (ORtrend for the minor (A) allele, 0.39; 95% CI: 0.25-0.61; Bonferroni adjusted ptrend , 1.7 × 10(-4) ). In conclusion, as previously shown for glioma regardless of family history of brain tumours, rs6010620 (RTEL1) was associated with an increased risk of glioma when restricting to cases with family history of brain tumours. These findings require confirmation in further studies with a larger number of glioma cases with a family history of brain tumours.
Source: International Journal of Cancer
DOI: 10.1002/ijc.27922
Authors: Beatrice Melin, Anna M. Dahlin, Ulrika Andersson, Zhaoming Wang, Roger Henriksson, Göran Hallmans, Melissa L. Bondy, Christoffer Johansen, Maria Feychting, Anders Ahlbom, Cari M. Kitahara, Sophia S. Wang, Avima M. Ruder, Tania Carreón, Mary Ann Butler, Peter D. Inskip, Mark Purdue, Ann W. Hsing, Leah Mechanic, Elizabeth Gillanders, Meredith Yeager, Martha Linet, Stephen J. Chanock, Patricia Hartge, Preetha Rajaraman
Institutions: Umeå University, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Baylor College of Medicine, Danish Cancer Society, Karolinska Institutet, United States Department of Health and Human Services, City Of Hope National Medical Center, City of Hope, Beckman Research Institute, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health
Language: English
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Awards: G2467179507, G57785581
OpenAlex ID: W2068962907
