Buckley MA, Woods NT, Tyrer JP, Mendoza-Fandino G, Lawrenson K, Hazelett DJ, Najafabadi HS, Gjyshi A, Carvalho RS, Lyra PC, Coetzee SG, Shen HC, Yang AW, Earp MA, Yoder SJ, Risch H, Chenevix-Trench G, Ramus SJ, Phelan CM, Coetzee GA, Noushmehr H, Hughes TR, Sellers TA, Goode EL, Pharoah PD, Gayther SA, Monteiro ANA, Chen YA, Fridley BL, Aben KKH, Kiemeney LA, Anton-Culver H, Ziogas A, Bruinsma F, Milne RL, Bandera EV, Giles GG, Bean YT, Pejovic T, Beckmann M, Hein A, Bjorge L, Fasching PA, Thomsen LCV, Kopperud RK, Bischof K, Bogdanova N, Doek T, Hillemanns P, Brinton LA, Wentzensen N, Yang H, Brooks-Wilson A, Bunker CH, Butzow R, Nevanlinna H, Pelttari LM, Campbell IG, Southey MC, Modugno F, Carty K, Glasspool R, Mcneish I, Paul J, Siddiqui N, Chang-Claude J, Rudolph A, Chang-Claude J, Cook LS, Cramer DW, Terry KL, Cunningham JM, Cybulski C, Gronwald J, Jakubowska A, Lubinski J, Dansonka-Mieszkowska A, Kupryjanczyk J, Rzepecka IK, Du Bois A, Harter P, Dicks E, Song H, Doherty JA, Rossing MA, Duerst M, Easton DF, Eccles DM, Edwards RP, Ekici AB, Fasching P, Gao YT, Milne RL, Gentry-Maharaj A, Giles GG, Goodman MT, Thompson PJ, Hasmad HN, Teo SH, Hildebrandt MAT, Wu X, Hogdall E, Jensen A, Kjaer SK, Hogdall E, Iversen ES, Karlan BY, Lester J, Orsulic S, Walsh CS, Kelley JL, Lambrechts D, Lambrechts S, Vergote I, Lee AW, Levine DA, Liang D, Lissowska J, Lu K, Lundvall L, Kjaer SK, Massuger LFAG, Van Altena AM, Matsuo K, Mcguire V, Mclaughlin JR, Menon U, Moysich KB, Ness RB, Odunsi K, Olson SH, Orlow I, Pike MC, Pearce CL, Wu AH, Permuth JB, Tsai YY, Tworoger SS, Poole EM, Rosen B, Shu XO, Shvetsov YB, Wilkens LR, Sieh W, Spiewankiewicz B, Sucheston-Campbell L, Thomsen L, Wang-Gohrke S, Whittemore AS, Woo YL, Zheng W, Berchuck A, Chenevix-Trench G, Schildkraut JM, Kelemen LE, Freedman ML (2019)
Publication Type: Journal article
Publication year: 2019
Book Volume: 79
Journal Issue: 3
DOI: 10.1158/0008-5472.CAN-17-3864
Genome-wide association studies have identified 40 ovarian cancer risk loci. However, the mechanisms underlying these associations remain elusive. In this study, we conducted a two-pronged approach to identify candidate causal SNPs and assess underlying biological mechanisms at chromosome 9p22.2, the first and most statistically significant associated locus for ovarian cancer susceptibility. Three transcriptional regulatory elements with allele-specific effects and a scaffold/matrix attachment region were characterized and, through physical DNA interactions, BNC2 was established as the most likely target gene. We determined the consensus binding sequence for BNC2 in vitro, verified its enrichment in BNC2 ChIP-seq regions, and validated a set of its downstream target genes. Fine-mapping by dense regional genotyping in over 15,000 ovarian cancer cases and 30,000 controls identified SNPs in the scaffold/ matrix attachment region as among the most likely causal variants. This study reveals a comprehensive regulatory landscape at 9p22.2 and proposes a likely mechanism of susceptibility to ovarian cancer.
APA:
Buckley, M.A., Woods, N.T., Tyrer, J.P., Mendoza-Fandino, G., Lawrenson, K., Hazelett, D.J.,... Freedman, M.L. (2019). Functional Analysis and Fine Mapping of the 9p22.2 Ovarian Cancer Susceptibility Locus. Cancer Research, 79(3). https://doi.org/10.1158/0008-5472.CAN-17-3864
MLA:
Buckley, Melissa A., et al. "Functional Analysis and Fine Mapping of the 9p22.2 Ovarian Cancer Susceptibility Locus." Cancer Research 79.3 (2019).
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