Evaluation of breast cancer susceptibility loci in Chinese women.
Evaluation of breast cancer susceptibility loci in Chinese women.
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DOI:
10.1158/1055-9965.epi-10-0054
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发表时间:
2010-09
期刊:
影响因子:
--
通讯作者:
Zheng W
中科院分区:
文献类型:
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作者:
Long J;Shu XO;Cai Q;Gao YT;Zheng Y;Li G;Li C;Gu K;Wen W;Xiang YB;Lu W;Zheng W
Recent genome-wide association studies (GWAS), mostly conducted among women of European ancestry, have identified 16 single nucleotide polymorphisms (SNPs) associated with breast cancer. We evaluated these SNPs with the risk of breast cancer and further by estrogen receptor (ER) 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. Statistically significant associations (P<0.05) were observed for 8 GWAS-identified SNPs, including rs4973768 (3p24/SLC4A7), rs889312 (5q11.2MAP3K1), rs2046210 (6q25.1), rs1219648 (10q26.13FGFR2), rs2981582 (10q26.13/FGFR2), rs3817198 (11p15.5/LSP1), rs8051542 (16q12.1TOX3), 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 ER status. In the fine-mapping analysis, 5 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). 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. Findings from this study may help guide future fine-mapping studies to identify causal variants for breast cancer.