Abstract
Recent genome-wide association studies have identified seven single nucleotide polymorphisms (SNPs) associated with breast cancer, but mainly in Europeans. In this study, the authors evaluated the effect of these loci on breast cancer and its disease characteristics in women from northeast of China, Heilongjiang Province. Seven SNPs were successfully genotyped in 492 breast cancer patients and 510 healthy controls using the SNaPshot method. The associations between SNPs and breast cancer were examined by logistic regression. The associations between SNPs and disease characteristics were examined by the chi-square test or one-way ANOVA as needed. The authors confirmed the effects of the allele A for rs2046210 at 6q25 on increased breast cancer risk in the population, with odds ratio 1.417 (P = 2×10−4). However, no significant association was detected between SNPs from TNCR9, LSP1, MAP3K1, 2q35, and 8q24 and breast cancer. Analyses of the disease characteristics showed that SNP rs2046210 was associated with age at menopause (P = 0.001). MAP3K1 SNP rs889312 and LSP1 SNP rs3817198 were associated with HER2 status in the patient cohort (P = 0.036 and P = 0.005, respectively). And SNP rs3817198 was also associated with the combined status of estrogen receptor, progesterone receptor, and HER2 (P = 0.012). SNP rs13281615 was associated with age at menarche (P = 0.023), and SNP rs3803662 was associated with average duration of breastfeeding (P = 0.036). All other disease characteristics, including tumor grade, clinical stage, and the status of estrogen receptor or P53, were not significantly associated with any of these variants. These results suggested that the rs2046210 was associated with breast cancer in a Northern Chinese population, and some SNPs were also associated with breast cancer characteristics.
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Acknowledgments
Yongdong Jiang performed the primer design and wrote the drafts. Jiguang Han, Jing Liu, Guoqiang Zhang, Lihong Wang, and Feng Liu collected the patient and control blood samples and performed the SNaPshot SNP assay. Xianyu Zhang contributed statistical analysis. Yashuang Zhao and Da Pang conceived of the study, and participated in its design and coordination, and helped to draft the article. All authors read and approved the final manuscript. This study was supported by the Key Science and Technology Program of Heilongjiang Province, China (Da Pang, Grant no. GC08C501), Fund of Heilongjiang Provincial Finance Department (Da Pang, Grant no. 2009-06). The authors thank all patients and healthy volunteers for providing blood samples and all the research staff for their contributions to this project.
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Yongdong Jiang and Jiguang Han equally contributed to this study.
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Jiang, Y., Han, J., Liu, J. et al. Risk of genome-wide association study newly identified genetic variants for breast cancer in Chinese women of Heilongjiang Province. Breast Cancer Res Treat 128, 251–257 (2011). https://doi.org/10.1007/s10549-010-1327-8
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DOI: https://doi.org/10.1007/s10549-010-1327-8