Abstract
Breast cancer is a heterogeneous disease which is influenced by genetic, environmental, and lifestyle factors. Genetic susceptibility is likely to be due to variants conferring more moderate risks. To identify susceptibility alleles, we conducted a case–control association study in 185 breast cancer cases and 199 controls in the Han population. We genotyped 14 tagging single nucleotide polymorphisms previously implicated in breast cancer using Sequenom MassARRAY SNP genotyping method and identified rs3734805 in the ESR1 gene and rs2048672 in the FLJ43663 gene were associated with breast cancer risk. Allele “C” of rs3734805 was associated with increased breast cancer progression by χ 2 test and additive model analysis (OR = 1.36; 95 % CI, 1.01–1.82; p = 0.042). Using recessive model analysis, we found that genotype “GG” of rs2048672 was the protective genotype during breast cancer progression (OR = 0.55; 95 % CI, 0.32–0.95; p = 0.029). Our results provide additional insights into the opposing roles of the ESR1 and FLJ43663 genes in breast cancer onset and progression.
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References
Ellsworth RE, Decewicz DJ, Shriver CD, Ellsworth DL. Breast cancer in the personal genomics era. Curr Genomics. 2010;11:146–61.
Gaudet MM, Milne RL, Cox A, Camp NJ, Goode EL, Humphreys MK, et al. Five polymorphisms and breast cancer risk: results from the Breast Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev. 2009;18:1610–6.
Sehrawat B, Sridharan M, Ghosh S, Robson P, Cass CE, Mackey JR, et al. Potential novel candidate polymorphisms identified in genome-wide association study for breast cancer susceptibility. Hum Genet. 2011;130:529–37.
Zheng W, Long J, Gao YT, Li C, Zheng Y, Xiang YB, et al. Genome-wide association study identifies a new breast cancer susceptibility locus at 6q25.1. Nat Genet. 2009;41:324–8.
Sapkota Y, Yasui Y, Lai R, Sridharan M, Robson PJ, Cass CE, et al. Identification of a breast cancer susceptibility locus at 4q31.22 using a genome-wide association study paradigm. Plos One. 2013;8(5):e62550.
Turnbull C, Ahmed S, Morrison J, Pernet D, Renwick A, Maranian M, et al. Genome-wide association study identifies five new breast cancer susceptibility loci. Nat Genet. 2010;42:504–7.
Gold B, Kirchhoff T, Stefanov S, Lautenberger J, Viale A, Garber J, et al. Genome-wide association study provides evidence for a breast cancer risk locus at 6q22.33. Proc Natl Acad Sci U S A. 2008;105:4340–5.
Thomas RK, Baker AC, Debiasi RM, Winckler W, Laframboise T, Lin WM, et al. High-throughput oncogene mutation profiling in human cancer. Nat Genet. 2007;39:347–51.
Gabriel S, Ziaugra L, Tabbaa D. SNP genotyping using the Sequenom MassARRAY iPLEX platform. Curr Protoc Hum Genet. 2009. doi:10.1002/0471142905.
Adamec C. Example of the use of the nonparametric test. Test X2 for comparison of 2 independent examples. Cesk Zdrav. 1964;12:613–9.
Bland JM, Altman DG. Statistics notes. The odds ratio. BMJ. 2000;320:1468.
Sole X, Guino E, Valls J, Iniesta R, Moreno V. SNPStats: a web tool for the analysis of association studies. Bioinformatics. 2006;22:1928–9.
Deroo BJ, Korach KS. Estrogen receptors and human disease. J Clin Invest. 2006;116:561–70.
Fletcher O, Johnson N, Orr N, Hosking FJ, Gibson LJ, Walker K, et al. Novel breast cancer susceptibility locus at 9q31.2: results of a genome-wide association study. J Natl Cancer Inst. 2011;103:425–35.
Yue W, Wang JP, Li Y, Bocchinfuso WP, Korach KS, Devanesan PD, et al. Tamoxifen versus aromatase inhibitors for breast cancer prevention. Clin Cancer Res. 2005;11:925s–30s.
Cai Q, Long J, Lu W, Qu S, Wen W, Kang D, et al. Genome-wide association study identifies breast cancer risk variant at 10q21.2: results from the Asia Breast Cancer Consortium. Hum Mol Genet. 2011;20:4991–9.
Acknowledgments
This work is supported by the National Natural Science Foundation of China (no. 81102026), Major Training Program of Tibet University for Nationalities (no. 13myZP06) and China Postdoctoral Science Foundation funded project (no. 2013M532078).
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Peng Xia and Tianbo Jin are joint first authors.
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Xia, P., Jin, T., Geng, T. et al. Polymorphisms in ESR1 and FLJ43663 are associated with breast cancer risk in the Han population. Tumor Biol. 35, 2187–2190 (2014). https://doi.org/10.1007/s13277-013-1289-7
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DOI: https://doi.org/10.1007/s13277-013-1289-7