title: Evaluation of breast cancer susceptibility loci in Chinese women.
abstract: BACKGROUND
  Recent genome-wide association studies (GWAS), mostly conducted among women of European ancestry, have identified 16 single-nucleotide polymorphisms (SNP) associated with breast cancer.
  
  
  METHODS
  We evaluated these SNPs with the risk of breast cancer and further by estrogen receptor status in a population-based study of 6,498 cases and 3,999 controls in Chinese women. We also searched for novel genetic risk variants in four loci, 2q35, 5p12/MRPS30, 8q24.21, and 17q23.2/COX11, in a two-stage study. In stage I, 868 SNPs were analyzed in 2,073 cases and 2,084 controls. In stage II, 58 SNPs selected from stage I were evaluated, including 4,425 cases and 1,915 controls.
  
  
  RESULTS
  Statistically significant associations (P < 0.05) were observed for eight GWAS-identified SNPs, including rs4973768 (3p24/SLC4A7), rs889312 (5q11.2MAP3K1), rs2046210 (6q25.1), rs1219648 (10q26.13/FGFR2), rs2981582 (10q26.13/FGFR2), rs3817198 (11p15.5/LSP1), rs8051542 (16q12.1/TOX3), and rs3803662 (16q12.1/TOX3). Two additional SNPs, rs10941679 (5p12/MRPS30) and rs13281615 (8q24.21), showed a marginally significant association. Some of these associations varied by estrogen receptor status. In the fine-mapping analysis, five SNPs showed a consistent association with breast cancer risk in both stages: rs10169372 (2q35), rs283720 (8q24.21), rs10515083 (17q23.2/COX11), rs16955329 (17q23.2/COX11), and rs2787487 (17q23.2/COX11).
  
  
  CONCLUSIONS
  This study shows that approximately half of the SNPs initially reported from GWAS of breast cancer in European descendants can be directly replicated in Chinese. Our fine-mapping analyses revealed several candidates of risk variants that can be further evaluated in studies with a larger sample size.
  
  
  CONCLUSIONS
  Findings from this study may help guide future fine-mapping studies to identify causal variants for breast cancer.
authors.affiliation: Division of Epidemiology, Department ofMedicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203-1738, USA. Jirong.Long@vanderbilt.edu
authors.forename: Jirong
authors.initials: J
authors.lastname: Long
authors.forename: Xiao-Ou
authors.initials: XO
authors.lastname: Shu
authors.forename: Qiuyin
authors.initials: Q
authors.lastname: Cai
authors.forename: Yu-Tang
authors.initials: YT
authors.lastname: Gao
authors.forename: Ying
authors.initials: Y
authors.lastname: Zheng
authors.forename: Guoliang
authors.initials: G
authors.lastname: Li
authors.forename: Chun
authors.initials: C
authors.lastname: Li
authors.forename: Kai
authors.initials: K
authors.lastname: Gu
authors.forename: Wanqing
authors.initials: W
authors.lastname: Wen
authors.forename: Yong-Bing
authors.initials: YB
authors.lastname: Xiang
authors.forename: Wei
authors.initials: W
authors.lastname: Lu
authors.forename: Wei
authors.initials: W
authors.lastname: Zheng
mesh_terms: D000368:Aged; D001943:Breast Neoplasms / Q000453:epidemiology / Q000235:genetics* / Q000378:metabolism; D016022:Case-Control Studies; D002681:China / Q000453:epidemiology; D005260:Female; D056426:Genetic Loci; D020022:Genetic Predisposition to Disease; D005838:Genotype; D006801:Humans; D008875:Middle Aged; D020641:Polymorphism, Single Nucleotide; D011960:Receptors, Estrogen / Q000096:biosynthesis; D012307:Risk Factors
chemical_list: D011960:Receptors, Estrogen