Genome-wide association study of germline variants and breast cancer-specific mortality

Escala-Garcia, M.; Guo, Q.; Dörk, T.; Canisius, S.; Keeman, R.; Dennis, J.; Beesley, J.; Lecarpentier, J.; Bolla, M. K.; Wang, Q.; Abraham, J.; Andrulis, I. L.; Anton-Culver, H.; Arndt, V.; Auer, P. L.; Beckmann, M. W.; Behrens, S.; Benitez, J.; Bermisheva, M.; Bernstein, L.; Blomqvist, C.; Boeckx, B.; Bojesen, S. E.; Bonanni, B.; Børresen-Dale, A. L.; Brauch, H.; Brenner, H.; Brentnall, A.; Brinton, L.; Broberg, P.; Brock, I. W.; Brucker, S. Y.; Burwinkel, B.; Caldas, C.; Caldés, T.; Campa, D.; Canzian, F.; Carracedo Álvarez, Ángel; Carter, B. D.; Castelao Fernández, José Esteban; Chang-Claude, J.; Chanock, S. J.; Chenevix-Trench, G.; Cheng, T. Y. D.; Chin, S. F.; Clarke, C. L.; Cordina-Duverger, E.; Couch, F. J.; Cox, D. G.; Cox, A.; Cross, S. S.; Czene, K.; Daly, M. B.; Devilee, P.; Dunn, J. A.; Dunning, A. M.; Durcan, L.; Dwek, M.; Earl, H. M.; Ekici, A. B.; Eliassen, A. H.; Ellberg, C.; Engel, C.; Eriksson, M.; Evans, D. G.; Figueroa, J.; Flesch-Janys, D.; Flyger, H.; Gabrielson, M.; Gago-Dominguez, M.; Galle, E.; Gapstur, S. M.; García-Closas, M.; García-Sáenz, J. A.; Gaudet, M. M.; George, A.; Georgoulias, V.; Giles, G. G.; Glendon, G.; Goldgar, D. E.; González-Neira, A.; Alnæs, G. I. G.; Grip, M.; Guénel, P.; Haeberle, L.; Hahnen, E.; Haiman, C. A.; Håkansson, N.; Hall, P.; Hamann, U.; Hankinson, S.; Harkness, E. F.; Harrington, P. A.; Hart, S. N.; Hartikainen, J. M.; Hein, A.; Hillemanns, P.; Hiller, L.; Holleczek, B.; Hollestelle, A.; Hooning, M. J.; Hoover, R. N.; Hopper, J. L.; Howell, A.; Huang, G.; Humphreys, K.; Hunter, D. J.; Janni, W.; John, E. M.; Jones, M. E.; Jukkola-Vuorinen, A.; Jung, A.; Kaaks, R.; Kabisch, M.; Kaczmarek, K.; Kerin, M. J.; Khan, S.; Khusnutdinova, E.; Kiiski, J. I.; Kitahara, C. M.; Knight, J. A.; Ko, Y. D.; Koppert, L. B.; Kosma, V. M.; Kraft, P.; Kristensen, V. N.; Krüger, U.; Kühl, T.; Lambrechts, D.; Le Marchand, L.; Lee, E.; Lejbkowicz, F.; Li, L.; Lindblom, A.; Lindström, S.; Linet, M.; Lissowska, J.; Lo, W. Y.; Loibl, S.; Lubiński, J.; Lux, M. P.; MacInnis, R. J.; Maierthaler, M.; Maishman, T.; Makalic, E.; Mannermaa, A.; Manoochehri, M.; Manoukian, S.; Margolin, S.; Martinez, M. E.; Mavroudis, D.; McLean, C.; Meindl, A.; Middha, P.; Miller, N.; Milne, R. L.; Moreno, F.; Mulligan, A. M.; Mulot, C.; Nassir, R.; Neuhausen, S. L.; Newman, W. T.; Nielsen, S. F.; Nordestgaard, B. G.; Norman, A.; Olsson, H.; Orr, N.; Pankratz, V. S.; Park-Simon, T. W.; Perez, J. I. A.; Pérez-Barrios, C.; Peterlongo, P.; Petridis, C.; Pinchev, M.; Prajzendanc, K.; Prentice, R.; Presneau, N.; Prokofieva, D.; Pylkäs, K.; Rack, B.; Radice, P.; Ramachandran, D.; Rennert, G.; Rennert, H. S.; Rhenius, V.; Romero, A.; Roylance, R.; Saloustros, E.; Sawyer, E. J.; Schmidt, D. F.; Schmutzler, R. K.; Schneeweiss, A.; Schoemaker, M. J.; Schumacher, F.; Schwentner, L.; Scott, R. J.; Scott, C.; Seynaeve, C.; Shah, M.; Simard, J.; Smeets, A.; Sohn, C.; Southey, M. C.; Swerdlow, A. J.; Talhouk, A.; Tamimi, R. M.; Tapper, W. J.; Teixeira, M. R.; Tengström, M.; Terry, M. B.; Thöne, K.; Tollenaar, R. A. E. M.; Tomlinson, I.; Torres, D.; Truong, T.; Turman, C.; Turnbull, C.; Ulmer, H. U.; Untch, M.; Vachon, C.; van Asperen, C. J.; van den Ouweland, A. M. W.; van Veen, E. M.; Wendt, C.; Whittemore, A. S.; Willett, W.; Winqvist, R.; Wolk, A.; Yang, X. R.; Zhang, Y.; Easton, D. F.; Fasching, P. A.; Nevanlinna, H.; Eccles, D. M.; Pharoah, P. D. P.; Schmidt, M. K.
Thumbnail
Estatísticas
Estatísticas
Identificadores
Identificadores
URI: http://hdl.handle.net/20.500.11940/15989
PMID: 30787463
ISSN: 0007-0920
Rexistro completo
Servizos
Servizos
RISMendeleyLinksolver
Visualización ou descarga de ficheiros
Visualización ou descarga de ficheiros
Autor corporativo
Nbcs Collaborators
Data de publicación
2019
Título da revista
BRITISH JOURNAL OF CANCER
Tipo de contido
Artigo
DeCS
pronóstico | variación genética | grupo de ascendencia continental europea | cromosomas | neoplasias de la mama | humanos | estudio de asociación genómica completa | teorema de Bayes | modelos de riesgos proporcionales
MeSH
Proportional Hazards Models | European Continental Ancestry Group | Bayes Theorem | Breast Neoplasms | Humans | Genome-Wide Association Study | Genetic Variation | Chromosomes | Prognosis
Resumo
BACKGROUND: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry. METHODS: Meta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP). RESULTS: We did not find any variant associated with breast cancer-specific mortality at P < 5 x 10(-8). For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 x 10(-7), hazard ratio [HR] = 0.88, 95% confidence interval [CI] = 0.84-0.92); the closest gene is AUTS2. For ER-negative disease, the most significant variant was chr7:rs67918676 (BFDP = 11%, P = 1.38 x 10(-7), HR = 1.27, 95% CI = 1.16-1.39); located within a long intergenic non-coding RNA gene (AC004009.3), close to the HOXA gene cluster. CONCLUSIONS: We uncovered germline variants on chromosome 7 at BFDP < 15% close to genes for which there is biological evidence related to breast cancer outcome. However, the paucity of variants associated with mortality at genome-wide significance underpins the challenge in providing genetic-based individualised prognostic information for breast cancer patients.
Atribución 4.0 Internacional
A non ser que se indique outra cousa, a licenza do ítem descríbese comoAtribución 4.0 Internacional