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Cancer Epidemiol Biomarkers Prev. 2010 Sep;19(9):2357-65. doi: 10.1158/1055-9965.EPI-10-0054. Epub 2010 Aug 10.

Evaluation of breast cancer susceptibility loci in Chinese women.

Author information

  • 1Division of Epidemiology, Department ofMedicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203-1738, USA. Jirong.Long@vanderbilt.edu

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.

IMPACT:

Findings from this study may help guide future fine-mapping studies to identify causal variants for breast cancer.

(c)2010 AACR.

PMID:
20699374
[PubMed - indexed for MEDLINE]
PMCID:
PMC2936687
Free PMC Article

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