Skip to main content
Top
Published in: Tumor Biology 7/2016

01-07-2016 | Original Article

Relationship between five GWAS-identified single nucleotide polymorphisms and female breast cancer in the Chinese Han population

Authors: Yaning He, Hui Liu, Qi Chen, Xianfu Sun, Chaojun Liu, Yingbo Shao

Published in: Tumor Biology | Issue 7/2016

Login to get access

Abstract

With the development of genome-wide association study (GWAS), an increasing number of genetic variables have been confirmed to be associated with breast cancer. Furthermore, an increasing number of studies from Asian populations are becoming available. Few GWAS loci have been replicated in the Chinese Han population. In a case–control study of breast cancer in the Henan Tumor Hospital (253 cases/339 controls), we evaluated five SNPs from GWAS of populations of European or Asian ancestry. In order to evaluate the contribution of genetic factors to population differences in breast cancer subtypes, all cases are defined by estrogen (ER), progesterone (PR) receptor, Human epidermal growth factor receptor - 2 (HER2), and Ki67 status. Different genotypes of rs3803662 (TOX3)/ (TNRC9)) in the case group and the control group are statistically significant (P = 0.044), but the ones of rs10069690 (TERT), rs2046210 (6q25.1), rs2981582 (EGFR2), and rs889312 (MAP3K1) have no significant statistical differences with breast cancer (P = 0.772, 0.308, 0.376, 0.468). The allelic frequencies of rs3803662 between the case group and the control group differ in recessive genetic models (odds ratio (OR) = 2.04, 95 % confidence interval (CI) 1.14–3.66) and in con-dominant inheritance models (OR = 2.17, 95 % CI 1.18–4.00). Compared with AA and GA, GG increased the risk of breast cancer (P = 0.017, 0.013). The genotype of rs2046210 (6q25.1), rs2981582 (EGFR2), rs889312 (MAP3K1), and rs3803662 (TOX3/TNRC9) has no statistical differences in different subtypes of breast cancer. Five common breast cancer susceptibility loci from GWAS are not strongly associated with breast cancer risk among the Han Chinese of the Henan province; only rs3803662 (TOX3/TNRC9) is confirmed to increase the risk of breast cancer. The different genotypes of five loci distribute equally in different subtypes of breast cancer.
Literature
1.
go back to reference Esther MJ, Hopper JL, Beck JC, et al. The breast cancer family registry: an infrastructure for cooperative multinational, interdisciplinary and translational studies of the genetic epidemiology of breast cancer. Breast Cancer Res. 2004;6:R375–89.CrossRef Esther MJ, Hopper JL, Beck JC, et al. The breast cancer family registry: an infrastructure for cooperative multinational, interdisciplinary and translational studies of the genetic epidemiology of breast cancer. Breast Cancer Res. 2004;6:R375–89.CrossRef
2.
go back to reference Long J, Delahanty RJ, Li G. A common deletion in the APOBEC3 genes and breast cancer risk. J Natl Cancer Inst. 2013;14. Long J, Delahanty RJ, Li G. A common deletion in the APOBEC3 genes and breast cancer risk. J Natl Cancer Inst. 2013;14.
3.
4.
go back to reference Gold B, Kirchhoff T, Stefanov S, 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.CrossRefPubMedPubMedCentral Gold B, Kirchhoff T, Stefanov S, 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.CrossRefPubMedPubMedCentral
5.
go back to reference Stacey SN, Manolescu A, Sulem P, et al. Common variants on chromosome 5p12 confer usceptibility to estrogen receptor-positive breast cancer. Nat Genet. 2008;40:703–6.CrossRefPubMed Stacey SN, Manolescu A, Sulem P, et al. Common variants on chromosome 5p12 confer usceptibility to estrogen receptor-positive breast cancer. Nat Genet. 2008;40:703–6.CrossRefPubMed
6.
go back to reference Zheng W, Long J, Gao YT, et al. Genome-wide association study identifies a new breast cancer susceptibility locus at 6q25.1. Nat Genet. 2009;41:324–8.CrossRefPubMedPubMedCentral Zheng W, Long J, Gao YT, et al. Genome-wide association study identifies a new breast cancer susceptibility locus at 6q25.1. Nat Genet. 2009;41:324–8.CrossRefPubMedPubMedCentral
7.
go back to reference Stacey SN, Manolescu A, Sulem P, et al. Common variants on chromosomes 2q35 nd 16q12 confer susceptibility to estrogen receptor-positive breast cancer. Nat Genet. 2007;39:865–9.CrossRefPubMed Stacey SN, Manolescu A, Sulem P, et al. Common variants on chromosomes 2q35 nd 16q12 confer susceptibility to estrogen receptor-positive breast cancer. Nat Genet. 2007;39:865–9.CrossRefPubMed
8.
go back to reference Garcia-Closas M, Hall P, Nevanlinna H, et al. Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics. PLoS Genet. 2008;4, e1000054.CrossRefPubMedPubMedCentral Garcia-Closas M, Hall P, Nevanlinna H, et al. Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics. PLoS Genet. 2008;4, e1000054.CrossRefPubMedPubMedCentral
9.
go back to reference Han W, Woo JH, Yu J-H, et al. Common genetic variants associated with breast cancer in Korean women and differential susceptibility according to intrinsic subtype. Cancer Epidemiol Biomarkers Prev. 2011;20:793–8.CrossRefPubMed Han W, Woo JH, Yu J-H, et al. Common genetic variants associated with breast cancer in Korean women and differential susceptibility according to intrinsic subtype. Cancer Epidemiol Biomarkers Prev. 2011;20:793–8.CrossRefPubMed
10.
go back to reference Mulligan AM, Couch FJ, Barrowdale D, et al. Common breast cancer susceptibility alleles are associated with tumour subtypes in BRCA1 and BRCA2 mutation carriers: results from the consortium of investigators of modifiers of BRCA1/2. Breast Cancer Res. 2011;13:R110.CrossRefPubMedPubMedCentral Mulligan AM, Couch FJ, Barrowdale D, et al. Common breast cancer susceptibility alleles are associated with tumour subtypes in BRCA1 and BRCA2 mutation carriers: results from the consortium of investigators of modifiers of BRCA1/2. Breast Cancer Res. 2011;13:R110.CrossRefPubMedPubMedCentral
11.
go back to reference Dai J, Hu Z, Yue Y, et al. Breast cancer risk assessment with five independent genetic variants and two risk factors in Chinese women. Breast Cancer Res. 2012;14:R17.CrossRefPubMedPubMedCentral Dai J, Hu Z, Yue Y, et al. Breast cancer risk assessment with five independent genetic variants and two risk factors in Chinese women. Breast Cancer Res. 2012;14:R17.CrossRefPubMedPubMedCentral
12.
go back to reference Hein R, Maranian M, et al. Comparison of 6q25 breast cancer hits from Asian an European Genome Wide Association studies in the Breast Cancer Association Consortium (BCAC). Plos One. 2012;7(8), e42380.CrossRefPubMedPubMedCentral Hein R, Maranian M, et al. Comparison of 6q25 breast cancer hits from Asian an European Genome Wide Association studies in the Breast Cancer Association Consortium (BCAC). Plos One. 2012;7(8), e42380.CrossRefPubMedPubMedCentral
13.
go back to reference Palmer JR, Ruiz-Narvaez EA, Rotimi CN, et al. Genetic susceptibility loci for subtypes of breast cancer in an African American population. Cancer Epidemiol Biomarkers Prev. 2013;22:127–34.CrossRefPubMed Palmer JR, Ruiz-Narvaez EA, Rotimi CN, et al. Genetic susceptibility loci for subtypes of breast cancer in an African American population. Cancer Epidemiol Biomarkers Prev. 2013;22:127–34.CrossRefPubMed
15.
go back to reference Pharoah PD, Antoniou AC, Easton DF, et al. Polygenes, risk prediction, and targeted prevention of breast cancer. N Engl J Med. 2008;358:2796–803.CrossRefPubMed Pharoah PD, Antoniou AC, Easton DF, et al. Polygenes, risk prediction, and targeted prevention of breast cancer. N Engl J Med. 2008;358:2796–803.CrossRefPubMed
17.
go back to reference Yu KD, Fang Q, Shao ZM. Combining accurate genetic and clinical information in breast cancer risk model. Breast Cancer Res Treat. 2011;128:283–5.CrossRefPubMed Yu KD, Fang Q, Shao ZM. Combining accurate genetic and clinical information in breast cancer risk model. Breast Cancer Res Treat. 2011;128:283–5.CrossRefPubMed
18.
go back to reference Hartman M, Suo C, Lim WY, et al. Ability to predict breast cancer in Asian women using a polygenic susceptibility model. Breast Cancer Res Treat. 2011;127:805–12.CrossRefPubMed Hartman M, Suo C, Lim WY, et al. Ability to predict breast cancer in Asian women using a polygenic susceptibility model. Breast Cancer Res Treat. 2011;127:805–12.CrossRefPubMed
19.
20.
go back to reference Gail MH, Mai PL. Comparing breast cancer risk assessment models. J Natl Cancer Inst. 2010;102:665–8.CrossRefPubMed Gail MH, Mai PL. Comparing breast cancer risk assessment models. J Natl Cancer Inst. 2010;102:665–8.CrossRefPubMed
21.
go back to reference Zheng W, Wen W, Gao YT, et al. Genetic and clinical predictors for breast cancer risk assessment and stratification among Chinese women. J Natl Cancer Inst. 2010;102:972–81.CrossRefPubMedPubMedCentral Zheng W, Wen W, Gao YT, et al. Genetic and clinical predictors for breast cancer risk assessment and stratification among Chinese women. J Natl Cancer Inst. 2010;102:972–81.CrossRefPubMedPubMedCentral
23.
go back to reference Gudmundsdottir ET, Barkardottir RB, Adalgeir A, et al. The risk allele of SNP rs3803662 and the mRNA level of its closest genes TOX3 and LOC643714 predict adverse outcome for breast cancer patients. BMC Cancer. 2012;12:621.CrossRefPubMedPubMedCentral Gudmundsdottir ET, Barkardottir RB, Adalgeir A, et al. The risk allele of SNP rs3803662 and the mRNA level of its closest genes TOX3 and LOC643714 predict adverse outcome for breast cancer patients. BMC Cancer. 2012;12:621.CrossRefPubMedPubMedCentral
24.
go back to reference Xi W, Qing-Qing X, Liang G, et al. Quantitative Assessment of the Association between rs2046210 at 6q25. 1 and breast cancer risk. PLoS ONE. 2013;8(6), e65206.CrossRef Xi W, Qing-Qing X, Liang G, et al. Quantitative Assessment of the Association between rs2046210 at 6q25. 1 and breast cancer risk. PLoS ONE. 2013;8(6), e65206.CrossRef
Metadata
Title
Relationship between five GWAS-identified single nucleotide polymorphisms and female breast cancer in the Chinese Han population
Authors
Yaning He
Hui Liu
Qi Chen
Xianfu Sun
Chaojun Liu
Yingbo Shao
Publication date
01-07-2016
Publisher
Springer Netherlands
Published in
Tumor Biology / Issue 7/2016
Print ISSN: 1010-4283
Electronic ISSN: 1423-0380
DOI
https://doi.org/10.1007/s13277-016-4795-6

Other articles of this Issue 7/2016

Tumor Biology 7/2016 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine