FGF receptor genes and breast cancer susceptibility: Results from the Breast Cancer Association Consortium

D. Agarwal, Sandy S Pineda, Kyriaki Michailidou, Jesús Herranz, Gabriel Pita, Laura T. Moreno-Moyano, M. Rosario Alonso, John Dennis, Q. Wang, Manjeet K. Bolla, K. B. Meyer, P. Menéndez-Rodríguez, David Hardisson, Marta Mendiola, A. González-Neira, Annika Lindblom, Sara Margolin, Anthony J Swerdlow, Alan Ashworth, N. OrrM. Jones, Kosuke Matsuo, Hiroshi Ito, Hiroji Iwata, Naomi Kondo, kConFab Investigators, Australian Ovarian Cancer Study Group (AOCS), Jacob M Hartman, Mun Hui, W. Y. Lim, Philip Tsau-Choong Iau, Edward Sawyer, Ian P Tomlinson, Michael Kerin, N. Miller, Deying Kang, J. Y. Choi, Sarah S Park, Dong-Young Noh, J. L. Hopper, D. F. Schmidt, E. Makalic, M.C. Southey, S. H. Teo, C. H. Yip, Kavitta Sivanandan, Wan Ting Tay, Hiltrud Brauch, T. Brüning, Ute Hamann, The GENICA Network, A. M. Dunning, Ajay M Shah, Irene L Andrulis, J. A. Knight, Grodon Glendon, Srine Tchatchou, Annegien Broeks, E. H. Rosenberg, Laura J. Van't Veer, Peter A. Fasching, Stefan P Renner, Arif B Ekici, Matthias W. Beckmann, Yu-chi Shen, Chia-Ni Hsiung, J. C. Yu, Ming-Feng Hou, William Blot, Qian Cai, A. H. Wu, Chiu-Chen Tseng, Christine D Berg, Daniel O Stram, A. Cox, Ian W. Brock, M. W.R. Reed, Keith Muir, Artitaya Lophatananon, Sarah Stewart-Brown, Pornthep Siriwanarangsan, W H Zheng, Sandra Deming-Halverson, Matha J. Shrubsole, J. Long, Xiao-Ou Shu, W. Lu, Y. T. Gao, B. Zhang, Paolo Radice, Paolo Peterlongo, Siranoush Manoukian, Frederique Mariette, Suleeporn Sangrajrang, J. McKay, Fergus J Couch, Amanda E. Toland, Drakoulis Yannoukakos, Olivia Fletcher, N. Johnson, I. Dos Santos Silva, Julian Peto, Frederik Marme, Barbara Burwinkel, P. Guénel, T. Truong, M Sanchez, Claire Mulot, Stig E Bojesen, Børge G. Nordestgaard, H. Flyer, Hermann Brenner, Aida K.arina Dieffenbach, Volker Arndt, Christa Stegmaier, Arto Mannermaa, Vesa Kataja, Veli-Matti Kosma, Jaana M. Hartikainen, Diether Lambrechts, Betul T. Yesilyurt, Giuseppe Floris, Karin Leunen, Jenny Chang-Claude, Anja Rudolph, Petra Seibold, Dieter Flesch-Janys, X. Wang, Janet E Olson, Celine M Vachon, Kristen S. Purrington, G.G. Giles, Gianluca Severi, Laura Baglietto, Christopher A Haiman, Brian E Henderson, Fredrick Schumacher, Loic Le Marchand, Jacques Simard, L M Dumont, M. S. Goldberg, F. Labrèche, Robert Winqvist, Katri Pylkäs, Arja Jukkola-Vuorinen, Mervi Grip, Peter Devilee, R. A. E M Tollenaar, Caroline Seynaeve, M. García-Closas, Stephen J Chanock, Jolanta Lissowska, Jonine D Figueroa, Kamila Czene, M. Eriksson, Keith Humphreys, Hatef Darabi, Maartje J Hooning, Mieke Kriege, J. M. Collée, Madeleine M A Tilanus-Linthorst, J. Li, Anna Jakubowska, Mark J Lubinski, Katarzyna Jaworska-Bieniek, Katarzyna Durda, Heli Nevanlinna, Taru A. Muranen, Kristiina Aittomäki, Carl Blomqvist, Natalia Bogdanova, Dörk Thilo Dörk, Georgia Chenevix-Trench, P. Hall, Douglas F Easton, P. D. P Pharoah, J. I. Arias-Perez, Pilar Zamora, J. Benítez, R.L. Milne

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23 Citations (Scopus)

Abstract

Background:Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium.Methods:Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression.Results:Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval=1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2.Conclusion:Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2.

Original languageEnglish
Pages (from-to)1088-1100
Number of pages13
JournalBritish Journal of Cancer
Volume110
Issue number4
DOIs
Publication statusPublished - 18 Feb 2014
Externally publishedYes

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