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Research Article

Identification of a Functional Genetic Variant at 16q12.1 for Breast Cancer Risk: Results from the Asia Breast Cancer Consortium

  • Jirong Long,

    Affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Qiuyin Cai,

    Affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Xiao-Ou Shu,

    Affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Shimian Qu,

    Affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Chun Li,

    Affiliation: Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Ying Zheng,

    Affiliation: Shanghai Center for Disease Control and Prevention, Shanghai, China

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  • Kai Gu,

    Affiliation: Shanghai Center for Disease Control and Prevention, Shanghai, China

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  • Wenjing Wang,

    Affiliation: Shanghai Center for Disease Control and Prevention, Shanghai, China

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  • Yong-Bing Xiang,

    Affiliation: Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China

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  • Jiarong Cheng,

    Affiliation: Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China

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  • Kexin Chen,

    Affiliation: Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China

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  • Lina Zhang,

    Affiliation: Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China

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  • Hong Zheng,

    Affiliation: Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China

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  • Chen-Yang Shen,

    Affiliation: Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan

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  • Chiun-Sheng Huang,

    Affiliation: Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan

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  • Ming-Feng Hou,

    Affiliation: Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan

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  • Hongbing Shen,

    Affiliation: Department of Epidemiology and Biostatistics, Nanjing Medical University, Nanjing, China

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  • Zhibin Hu,

    Affiliation: Department of Epidemiology and Biostatistics, Nanjing Medical University, Nanjing, China

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  • Furu Wang,

    Affiliation: Department of Epidemiology and Biostatistics, Nanjing Medical University, Nanjing, China

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  • Sandra L. Deming,

    Affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Mark C. Kelley,

    Affiliation: Division of Surgical Oncology, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Martha J. Shrubsole,

    Affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Ui Soon Khoo,

    Affiliation: Department of Pathology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China

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  • Kelvin Y. K. Chan,

    Affiliation: Division of Surgical Oncology, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Sum Yin Chan,

    Affiliation: Department of Pathology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China

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  • Christopher A. Haiman,

    Affiliation: Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America

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  • Brian E. Henderson,

    Affiliation: Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America

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  • Loic Le Marchand,

    Affiliation: Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, Hawaii, United States of America

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  • Motoki Iwasaki,

    Affiliation: Epidemiology and Prevention Division, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan

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  • Yoshio Kasuga,

    Affiliation: Department of Surgery, Nagano Matsushiro General Hospital, Nagano, Japan

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  • Shoichiro Tsugane,

    Affiliation: Epidemiology and Prevention Division, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan

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  • Keitaro Matsuo,

    Affiliation: Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan

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  • Kazuo Tajima,

    Affiliation: Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan

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  • Hiroji Iwata,

    Affiliation: Department of Breast Oncology, Aichi Cancer Center Central Hospital, Nagoya, Japan

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  • Bo Huang,

    Affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Jiajun Shi,

    Affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Guoliang Li,

    Affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Wanqing Wen,

    Affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Yu-Tang Gao,

    Affiliation: Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China

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  • Wei Lu,

    Affiliation: Shanghai Center for Disease Control and Prevention, Shanghai, China

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  • Wei Zheng mail

    wei.zheng@vanderbilt.edu

    Affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America

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  • Published: June 24, 2010
  • DOI: 10.1371/journal.pgen.1001002

Reader Comments (1)

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Caution in Conclusion

Posted by alisond on 10 Aug 2010 at 15:23 GMT

We note that this study reports the same SNP, rs4784227, that we found to exhibit the strongest evidence in our study of >27,000 subjects of European, Asian and African ancestry. (Udler MS. et al. Fine scale mapping of the breast cancer 16q12 locus. Hum. Mol. Genet. 19, 2507-15, doi: 10.1093/hmg/ddq122). However, we are concerned by the interpretation of this present study: that rs4784227 is functionally related to breast cancer risk.
The SNPs examined here were selected from HapMap phase II (http://hapmap.ncbi.nlm.ni...), but this is an incomplete catalogue of common variants. In our study we identified 26 highly correlated, candidates for causative variant via our own re-sequencing coupled with the 1000 Genomes Project (http://www.1000genomes.or...). Only seven of these 26 are present in HapMap phase II.
Although SNP rs4784227 gives the strongest signal among those examined, this does not imply that the others can be definitively excluded. Of our 26 original candidates, we were able to exclude 12 as being at least 100 times less likely than the best. Within the remaining 14 candidates, although rs4784227 had the highest likelihood, nine others were, statistically, only marginally less likely to be causative. Four of these are almost perfectly correlated (r2 ≥ 0.96) in both Europeans and Asians and are thus unlikely to be separable by epidemiological studies alone. Notably, five of the remaining 14 candidates are tightly clustered in open chromatin in the evolutionarily conserved gap between TOX3 and LOC643714 and three of these are also predicted to affect transcription factor binding sites. Although SNP rs4784227 lies in a predicted C/EBP binding site, it falls outside this conserved region of open chromatin.
In most post-GWAS fine scale mapping studies to date, evidence clearly identifying directly causative variants has been elusive - hampered by strong linkage disequilibrium and small effect sizes. Where there are multiple, tightly linked candidates, exemplifying that any one is functional does not prove its causality. Any conclusions should be cautious until combined epidemiological and functional studies can determine the exact variant, or variants, directly responsible for breast cancer risk at this important locus.
Sincerely,
Alison M. Dunning
Miriam S. Udler
Douglas F. Easton

No competing interests declared.

RE: Caution in Conclusion -Authors' responses

wzheng replied to alisond on 20 Oct 2010 at 22:29 GMT

We read with interest the comment by Dr. Dunning et al on our paper regarding the association of rs4784227 (16q12.1) with breast cancer risk in Asians and in vitro functional characterization of this SNP (Long J et al. Identification of a functional genetic variant at 16q12.1 for breast cancer risk: Results from the Asia Breast Cancer Consortium. PLoS Genet. 2010;6:e1001002). As described in the paper, our study consists of a multi-stage GWAS and a series of in vitro functional analyses that specifically evaluated the potential functionality of rs4784227. The DNA constructs with the T allele for the luciferase reporter assays were generated by site-directed mutagenesis from the DNA constructs with the C allele, and the sequences of oligonucleotide probes used in the electrophoretic mobility shift assay were identical except for the rs4784227 site. To minimize potential laboratory assay errors and chance findings, we used four cell lines for the luciferase reporter assays and three cell lines for the electrophoretic mobility shift assay. These in vitro experiments have shown consistently that the T allele of rs4784227 reduced luciferase activities and altered DNA-nuclear protein interactions compared to the C allele (Figure 3), suggesting that rs4784227 may be functionally significant.

As described in the paper, three SNPs at 16q12.1 (rs8051542, rs12443621, and rs3803662) were reported from previous GWAS conducted in women of European ancestry (Easton DF et al. Genome-wide association study identifies novel breast cancer susceptibility loci. Nature. 2007 Jun 28;447:1087-93). However, the SNP (rs4784227) identified in our GWAS is not in LD with rs12443621 (r2=0.07) and in weak LD with rs3803662 (r2=0.14) and rs8051542 (r2 = 0.37) in Asians (Table 3 and Figure 2). Furthermore, the association of breast cancer with rs4784227 remained highly statistically significant after adjusting for all three previously reported SNPs (Table 4). In fact, in Asian women, rs12443621 was not associated with breast cancer risk, and the association of breast cancer risk with rs8051542 and rs3803662 was weaker than the one observed for rs4784227 (Table 4). Adjusting for rs4784227 substantially attenuated the association with rs3803662 and completely eliminated the association with rs8051542. Similarly, among European-American women, rs4784227 was found to be associated with breast cancer risk even after adjusting for rs12443621 or rs8051542 at P < 0.05 (Table 5). SNPs rs3803662 and rs4784227 are highly correlated in European descendants (r2=0.86). Including these two SNPs in the same model eliminated the association with rs3803662 but did not alter the risk estimate for rs4784227, although the statistical test was no longer significant (Table 5). As reported in our paper, rs12443621 and rs8051542 were weakly associated with breast cancer risk in European-Americans. Evidently, of the SNPs evaluated in this locus, rs4784227 showed the strongest and most robust association with breast cancer risk in both Asians and European-Americans.

In an extensive search for the causal variant directly responsible for the observed associations at 16q12.1, Udler et al have identified 14 variants that are all strong candidates for being causally important for breast cancer risk (Udler MS et al. Fine scale mapping of the breast cancer 16q12 locus. Hum Mol Genet. 2010 Jun 15;19:2507-15). The authors cautioned that although rs4784227 showed the strongest signal as the potential causal variant for breast cancer, the other 13 remaining candidates could not be excluded due to the LD structure in this region. The authors called for larger epidemiological studies among women of Asian and African ancestry to further evaluate this important locus. It is possible that multiple causal variants may exist at this locus. Nevertheless, results from Udler et al’s study support our finding suggesting that rs4784227 is an important candidate for future epidemiological studies and functional characterization.

Wei Zheng
Jirong Long
Qiuyin Cai

No competing interests declared.