Fine scale mapping of the 17q22 breast cancer locus using dense SNPs, genotyped within the Collaborative Oncological Gene-Environment Study (COGs)
AuthorDarabi, H; Beesley, J; Droit, A; Kar, S; Nord, S; Marjaneh, MM; Soucy, P; Michailidou, K; Ghoussaini, M; Wahl, HF; ...
Source TitleScientific Reports
PublisherNATURE PUBLISHING GROUP
AffiliationMelbourne School of Population and Global Health
Document TypeJournal Article
CitationsDarabi, H., Beesley, J., Droit, A., Kar, S., Nord, S., Marjaneh, M. M., Soucy, P., Michailidou, K., Ghoussaini, M., Wahl, H. F., Bolla, M. K., Wang, Q., Dennis, J., Alonso, M. R., Andrulis, I. L., Anton-Culver, H., Arndt, V., Beckmann, M. W., Benitez, J. ,... Dunning, A. M. (2016). Fine scale mapping of the 17q22 breast cancer locus using dense SNPs, genotyped within the Collaborative Oncological Gene-Environment Study (COGs). SCIENTIFIC REPORTS, 6 (1), https://doi.org/10.1038/srep32512.
Access StatusOpen Access
Genome-wide association studies have found SNPs at 17q22 to be associated with breast cancer risk. To identify potential causal variants related to breast cancer risk, we performed a high resolution fine-mapping analysis that involved genotyping 517 SNPs using a custom Illumina iSelect array (iCOGS) followed by imputation of genotypes for 3,134 SNPs in more than 89,000 participants of European ancestry from the Breast Cancer Association Consortium (BCAC). We identified 28 highly correlated common variants, in a 53 Kb region spanning two introns of the STXBP4 gene, that are strong candidates for driving breast cancer risk (lead SNP rs2787486 (OR = 0.92; CI 0.90-0.94; P = 8.96 × 10(-15))) and are correlated with two previously reported risk-associated variants at this locus, SNPs rs6504950 (OR = 0.94, P = 2.04 × 10(-09), r(2) = 0.73 with lead SNP) and rs1156287 (OR = 0.93, P = 3.41 × 10(-11), r(2) = 0.83 with lead SNP). Analyses indicate only one causal SNP in the region and several enhancer elements targeting STXBP4 are located within the 53 kb association signal. Expression studies in breast tumor tissues found SNP rs2787486 to be associated with increased STXBP4 expression, suggesting this may be a target gene of this locus.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References