Huo Dezheng, Feng Ye, Haddad Stephen, Zheng Yonglan, Yao Song, Han Yoo-Jeong, Ogundiran Temidayo O, Adebamowo Clement, Ojengbede Oladosu, Falusi Adeyinka G, Zheng Wei, Blot William, Cai Qiuyin, Signorello Lisa, John Esther M, Bernstein Leslie, Hu Jennifer J, Ziegler Regina G, Nyante Sarah, Bandera Elisa V, Ingles Sue A, Press Michael F, Deming Sandra L, Rodriguez-Gil Jorge L, Nathanson Katherine L, Domchek Susan M, Rebbeck Timothy R, Ruiz-Narváez Edward A, Sucheston-Campbell Lara E, Bensen Jeannette T, Simon Michael S, Hennis Anselm, Nemesure Barbara, Leske M Cristina, Ambs Stefan, Chen Lin S, Qian Frank, Gamazon Eric R, Lunetta Kathryn L, Cox Nancy J, Chanock Stephen J, Kolonel Laurence N, Olshan Andrew F, Ambrosone Christine B, Olopade Olufunmilayo I, Palmer Julie R, Haiman Christopher A
Department of Public Health Sciences, University of Chicago, Chicago, IL, USA.
Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.
Hum Mol Genet. 2016 Nov 1;25(21):4835-4846. doi: 10.1093/hmg/ddw305.
Multiple breast cancer loci have been identified in previous genome-wide association studies, but they were mainly conducted in populations of European ancestry. Women of African ancestry are more likely to have young-onset and oestrogen receptor (ER) negative breast cancer for reasons that are unknown and understudied. To identify genetic risk factors for breast cancer in women of African descent, we conducted a meta-analysis of two genome-wide association studies of breast cancer; one study consists of 1,657 cases and 2,029 controls genotyped with Illumina’s HumanOmni2.5 BeadChip and the other study included 3,016 cases and 2,745 controls genotyped using Illumina Human1M-Duo BeadChip. The top 18,376 single nucleotide polymorphisms (SNP) from the meta-analysis were replicated in the third study that consists of 1,984 African Americans cases and 2,939 controls. We found that SNP rs13074711, 26.5 Kb upstream of TNFSF10 at 3q26.21, was significantly associated with risk of oestrogen receptor (ER)-negative breast cancer (odds ratio [OR]=1.29, 95% CI: 1.18-1.40; P = 1.8 × 10 − 8). Functional annotations suggest that the TNFSF10 gene may be involved in breast cancer aetiology, but further functional experiments are needed. In addition, we confirmed SNP rs10069690 was the best indicator for ER-negative breast cancer at 5p15.33 (OR = 1.30; P = 2.4 × 10 − 10) and identified rs12998806 as the best indicator for ER-positive breast cancer at 2q35 (OR = 1.34; P = 2.2 × 10 − 8) for women of African ancestry. These findings demonstrated additional susceptibility alleles for breast cancer can be revealed in diverse populations and have important public health implications in building race/ethnicity-specific risk prediction model for breast cancer.
在以往的全基因组关联研究中已经确定了多个乳腺癌位点,但这些研究主要是在欧洲血统人群中进行的。非洲血统的女性更易患早发性和雌激素受体(ER)阴性乳腺癌,原因不明且研究不足。为了确定非洲裔女性乳腺癌的遗传风险因素,我们对两项乳腺癌全基因组关联研究进行了荟萃分析;一项研究包括1657例病例和2029例对照,使用Illumina公司的HumanOmni2.5 BeadChip进行基因分型,另一项研究包括3016例病例和2745例对照,使用Illumina Human1M-Duo BeadChip进行基因分型。荟萃分析中排名前18376的单核苷酸多态性(SNP)在第三项研究中进行了验证,该研究包括1984例非裔美国病例和2939例对照。我们发现,位于3q26.21的TNFSF10基因上游26.5 kb处的SNP rs13074711与雌激素受体(ER)阴性乳腺癌风险显著相关(优势比[OR]=1.29,95%置信区间:1.18-1.40;P = 1.8×10−8)。功能注释表明,TNFSF10基因可能参与乳腺癌的病因学,但还需要进一步的功能实验。此外,我们证实SNP rs10069690是5p15.33处ER阴性乳腺癌的最佳指标(OR = 1.30;P = 2.4×10−10),并确定rs12998806是非洲血统女性2q35处ER阳性乳腺癌的最佳指标(OR = 1.34;P = 2.2×10−8)。这些发现表明,在不同人群中可以发现更多的乳腺癌易感等位基因,这对于建立针对特定种族/族裔的乳腺癌风险预测模型具有重要的公共卫生意义。