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Priority Reports |
1 Institute for Cancer Studies and 2 Academic Unit of Surgical Oncology, School of Medicine and Biomedical Sciences, University of Sheffield, Sheffield, United Kingdom; 3 Genetic Epidemiology, Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah; Divisions of 4 Molecular Epidemiology and 5 Clinical Epidemiology and Aging Research, German Cancer Research Center; 6 Institute of Human Genetics and 7 Division Molecular Biology of Breast Cancer, Department of Gynaecology and Obstetrics, University of Heidelberg, Heidelberg, Germany; 8 Department of Gynaecology and Obstetrics, Klinikum rechts der Isar, Technische Universität, Munich, Germany; 9 Center of Familial Breast and Ovarian Cancer, Department of Obstetrics/Gynecology and Center of Integrated Oncology, University of Cologne, Cologne, Germany; and 10 Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
Requests for reprints: Angela Cox, Institute for Cancer Studies, School of Medicine and Biomedical Sciences, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, United Kingdom. Phone: 44-114-271-2373; Fax: 44-114-271-3892; E-mail: a.cox{at}shef.ac.uk.
Key Words: Polymorphism breast cancer apoptosis haplotype association
Recent large-scale studies have been successful in identifying common, low-penetrance variants associated with common cancers. One such variant in the caspase-8 (CASP8) gene, D302H (rs1045485), has been confirmed to be associated with breast cancer risk, although the functional effect of this polymorphism (if any) is not yet clear. In order to further map the CASP8 gene with respect to breast cancer susceptibility, we performed extensive haplotype analyses using single nucleotide polymorphisms (SNP) chosen to tag all common variations in the gene (tSNP). We used a staged study design based on 3,200 breast cancer and 3,324 control subjects from the United Kingdom, Utah, and Germany. Using a haplotype-mining algorithm in the UK cohort, we identified a four-SNP haplotype that was significantly associated with breast cancer and that was superior to any other single or multi-locus combination (P = 8.0 x 10–5), with a per allele odds ratio and 95% confidence interval of 1.30 (1.12–1.49). The result remained significant after adjustment for the multiple testing inherent in mining techniques (false discovery rate, q = 0.044). As expected, this haplotype includes the D302H locus. Multicenter analyses on a subset of the tSNPs yielded consistent results. This risk haplotype is likely to carry one or more underlying breast cancer susceptibility alleles, making it an excellent candidate for resequencing in homozygous individuals. An understanding of the mode of action of these alleles will aid risk assessment and may lead to the identification of novel treatment targets in breast cancer. [Cancer Res 2009;69(7):2724–8]
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