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Zeng, Chenjie; Guo, Xingyi; Long, Jirong; Kuchenbaecker, Karoline B; Droit, Arnaud; Michailidou, Kyriaki; Ghoussaini, Maya; Kar, Siddhartha; Freeman, Adam; Hopper, John L; Milne, Roger L; Bolla, Manjeet K; Wang, Qin; Dennis, Joe; Agata, Simona; Ahmed, Shahana; Aittomäki, Kristiina; Andrulis, Irene L; Anton-Culver, Hoda; Antonenkova, Natalia N; Arason, Adalgeir; Arndt, Volker; Arun, Banu K; Arver, Brita; Bacot, Francois; Barrowdale, Daniel; Baynes, Caroline; Beeghly-Fadiel, Alicia; Benítez, Javier; Bermisheva, Marina ... view all 50 authors View less authors (2016)
Publisher: Springer Nature
Languages: English
Types: Article
Subjects: 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, Cancer och onkologi, Research Article, Databases, Genetic, Breast Neoplasms, Quantitative Trait Loci, GENETIC MODIFIERS, Cancer Research, UOWSAT, 3111 Biomedicine, METASTASIS, 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, BRCA1 Protein, Risk, Journal Article, Medicine and Health Sciences, GENOME-WIDE ASSOCIATION, 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; http://bcac.ccge.medschl.cam.ac.uk/), 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 http://dx.doi.org/10.1186/s13058-016-0718-0

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