Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus

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Zeng, C. ; Guo, X. ; Long, J. ; Kuchenbaecker, K.B. ; Droit, A. ; Michailidou, K. ; Ghoussaini, M. ; Kar, S. ; Freeman, A. ; Hopper, J.L. ; Milne, R.L. ; Bolla, M.K. ; Wang, Q. ; Dennis, J. ; Agata, S. ; Ahmed, S. ; Aittomäki, K. ; Andrulis, I.L. ; Anton-Culver, H. ; Antonenkova, N.N. ; Arason, A. ; Arndt, V. ; Arun, B.K. ; Arver, B. ; Bacot, F. ; Barrowdale, D. ; Baynes, C. ; Beeghly-Fadiel, A. ; Benitez, J. ; Bermisheva, M. ... view all 237 authors (2016)
  • Publisher: BioMed Central
  • Journal: volume 18 (issn: 1465-5411, eissn: 1465-542X)
  • Related identifiers: doi: 10.13039/100009769, doi: 10.13039/501100003093, doi: 10.13039/100001282, doi: 10.13039/100003262, doi: 10.13039/100001006, doi: 10.13039/100007303, doi: 10.13039/501100001026, doi: 10.13039/501100001665, doi: 10.13039/501100001700, doi: 10.13039/501100001349, ... view all 54 identifiers
  • Subject: PTHLH | LOCALIZATION | BRAC1 mutation carriers | Odds Ratio | Heterozygote | Oncology | Population Surveillance | Polymorphism, Single Nucleotide | Medicine(all) | Medizinische Fakultät | Female | Alleles | Case-Control Studies | 3122 Cancers | Biology and Life Sciences | Chromosomes, Human, Pair 12 | CCDC91 | /dk/atira/pure/researchoutput/pubmedpublicationtype/D052061 | - | Genotype | Mutation | Haplotypes | Medical Genetics | Medicinsk genetik | Chromosome Mapping | Promoter Regions, Genetic | /dk/atira/pure/subjectarea/asjc/2700/2730 | /dk/atira/pure/subjectarea/asjc/1300/1306 | BRAC1 mutation carriers; Breast cancer; CCDC91; Fine-scale mapping; Genetic risk factor; PTHLH | Computational Biology | Research Article | Cancer och onkologi | Databases, Genetic | Breast Neoplasms | Quantitative Trait Loci | GENETIC MODIFIERS | Cancer Research | UOWSAT | 3111 Biomedicine | METASTASIS | PTHLH-CCDC91 | OVARIAN-CANCER | HORMONE-RELATED PROTEIN | Enhancer Elements, Genetic | EXPRESSION | /dk/atira/pure/researchoutput/pubmedpublicationtype/D016428 | ENHANCERS | SUSCEPTIBILITY LOCI | BRAC1 mutation carriers, Breast cancer, CCDC91, Fine-scale mapping, Genetic risk factor, PTHLH, Alleles, BRCA1 Protein, Breast Neoplasms, Case-Control Studies, Chromosome Mapping, Chromosomes, Human, Pair 12, Computational Biology, Databases, Genetic, Enhancer Elements, Genetic, Epigenesis, Genetic, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Haplotypes, Heterozygote, Humans, Mutation, Odds Ratio, Polymorphism, Single Nucleotide, Population Surveillance, Promoter Regions, Genetic, Quantitative Trait Loci, Risk | European Continental Ancestry Group | Breast cancer | Epigenesis, Genetic | Genetic risk factor | Cancer and Oncology | Fine-scale mapping | Medizin | Research Support, N.I.H., Extramural | Genome-Wide Association Study | BRCA2 MUTATION CARRIERS | Journal Article | BRCA1 Protein | Risk | GENOME-WIDE ASSOCIATION | Medicine and Health Sciences | Genetic Predisposition to Disease | Humans
    • ddc: ddc:610

Background Multiple recent genome-wide association studies (GWAS) have identified a single nucleotide polymorphism (SNP), rs10771399, at 12p11 that is associated with breast cancer risk. Method We performed a fine-scale mapping study of a 700 kb region including 441 genotyped and more than 1300 imputed genetic variants in 48,155 cases and 43,612 controls of European descent, 6269 cases and 6624 controls of East Asian descent and 1116 cases and 932 controls of African descent in the Breast Cancer Association Consortium (BCAC;, and in 15,252 BRCA1 mutation carriers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Stepwise regression analyses were performed to identify independent association signals. Data from the Encyclopedia of DNA Elements project (ENCODE) and the Cancer Genome Atlas (TCGA) were used for functional annotation. Results Analysis of data from European descendants found evidence for four independent association signals at 12p11, represented by rs7297051 (odds ratio (OR) = 1.09, 95 % confidence interval (CI) = 1.06–1.12; P = 3 × 10$^{-9}$), rs805510 (OR = 1.08, 95 % CI = 1.04–1.12, P = 2 × 10$^{-5}$), and rs1871152 (OR = 1.04, 95 % CI = 1.02–1.06; P = 2 × 10$^{-4}$) identified in the general populations, and rs113824616 (P = 7 × 10$^{-5}$) identified in the meta-analysis of BCAC ER-negative cases and BRCA1 mutation carriers. SNPs rs7297051, rs805510 and rs113824616 were also associated with breast cancer risk at P < 0.05 in East Asians, but none of the associations were statistically significant in African descendants. Multiple candidate functional variants are located in putative enhancer sequences. Chromatin interaction data suggested that PTHLH was the likely target gene of these enhancers. Of the six variants with the strongest evidence of potential functionality, rs11049453 was statistically significantly associated with the expression of PTHLH and its nearby gene CCDC91 at P < 0.05. Conclusion This study identified four independent association signals at 12p11 and revealed potentially functional variants, providing additional insights into the underlying biological mechanism(s) for the association observed between variants at 12p11 and breast cancer risk. UK funding includes Cancer Research UK and NIH. This is the final version of the article. It first appeared from BioMed Central via
  • References (45)
    45 references, page 1 of 5

    1. Ghoussaini M, Fletcher O, Michailidou K, Turnbull C, Schmidt MK, Dicks E, et al. Genome-wide association analysis identifies three new breast cancer susceptibility loci. Nat Genet. 2012;44(3):312-8.

    2. Antoniou AC, Kuchenbaecker KB, Soucy P, Beesley J, Chen X, McGuffog L, et al. Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. Breast Cancer Res. 2012;14(1):R33.

    3. Kuchenbaecker KB, Neuhausen SL, Robson M, Barrowdale D, McGuffog L, Mulligan AM, et al. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers. Breast Cancer Res. 2014;16(6):3416.

    4. Zheng W, Zhang B, Cai Q, Sung H, Michailidou K, Shi J, et al. Common genetic determinants of breast-cancer risk in East Asian women: a collaborative study of 23 637 breast cancer cases and 25 579 controls. Hum Mol Genet. 2013;22(12):2539-50.

    5. Li J, Karaplis AC, Huang DC, Siegel PM, Camirand A, Yang XF, et al. PTHrP drives breast tumor initiation, progression, and metastasis in mice and is a potential therapy target. J Clin Invest. 2011;121(12):4655-69.

    6. Fleming NI, Trivett MK, George J, Slavin JL, Murray WK, Moseley JM, et al. Parathyroid hormone-related protein protects against mammary tumor emergence and is associated with monocyte infiltration in ductal carcinoma in situ. Cancer Res. 2009;69(18):7473-9.

    7. Henderson MA, Danks JA, Slavin JL, Byrnes GB, Choong PF, Spillane JB, et al. Parathyroid hormone-related protein localization in breast cancers predict improved prognosis. Cancer Res. 2006;66(4):2250-6.

    8. Corradin O, Saiakhova A, Akhtar-Zaidi B, Myeroff L, Willis J, Cowper-Sal lari R, et al. Combinatorial effects of multiple enhancer variants in linkage disequilibrium dictate levels of gene expression to confer susceptibility to common traits. Genome Res. 2014;24(1):1-13.

    9. Edwards SL, Beesley J, French JD, Dunning AM. Beyond GWASs: illuminating the dark road from association to function. Am J Hum Genet. 2013;93(5): 779-97.

    10. Bojesen SE, Pooley KA, Johnatty SE, Beesley J, Michailidou K, Tyrer JP, et al. Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer. Nat Genet. 2013; 45(4):371-84. 384e371-372.

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