A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium.

Milne, RL; Herranz, J; Michailidou, K; Dennis, J; Tyrer, JP; Zamora, MP; Arias-Perez, JI; González-Neira, A; Pita, G; Alonso, MR; Wang, Q; Bolla, MK; Czene, K; Eriksson, M; Humphreys, K; Darabi, H; Li, J; Anton-Culver, H; Neuhausen, SL; Ziogas, A; Clarke, CA; Hopper, JL; Dite, GS; Apicella, C; Southey, MC; Chenevix-Trench, G; Swerdlow, A; Ashworth, A; Orr, N; Schoemaker, M; Jakubowska, A; Lubinski, J; Jaworska-Bieniek, K; Durda, K; Andrulis, IL; Knight, JA; Glendon, G; Mulligan, AM; Bojesen, SE; Nordestgaard, BG; Flyger, H; Nevanlinna, H; Muranen, TA; Aittomäki, K; Blomqvist, C; Chang-Claude, J; Rudolph, A; Seibold, P; Flesch-Janys, D; Wang, X; Olson, JE; Vachon, C; Purrington, K; Winqvist, R; Pylkäs, K; Jukkola-Vuorinen, A; Grip, M; Dunning, AM; Shah, M; Guénel, P; Truong, T; Sanchez, M; Mulot, C; Brenner, H; Dieffenbach, AK; Arndt, V; Stegmaier, C; Lindblom, A; Margolin, S; Hooning, MJ; Hollestelle, A; Collée, JM; Jager, A; Cox, A; Brock, IW; Reed, MW; Devilee, P; Tollenaar, RA; Seynaeve, C; Haiman, CA; Henderson, BE; Schumacher, F; Le Marchand, L; Simard, J; Dumont, M; Soucy, P; Dörk, T; Bogdanova, NV; Hamann, U; Försti, A; Rüdiger, T; Ulmer, HU; Fasching, PA; Häberle, L; Ekici, AB; Beckmann, MW; Fletcher, O; Johnson, N; dos Santos Silva, I; Peto, J; Radice, P; Peterlongo, P; Peissel, B; Mariani, P; Giles, GG; Severi, G; Baglietto, L; Sawyer, E; Tomlinson, I; Kerin, M; Miller, N; Marme, F; Burwinkel, B; Mannermaa, A; Kataja, V; Kosma, VM; Hartikainen, JM; Lambrechts, D; Yesilyurt, BT; Floris, G; Leunen, K; Alnæs, GG; Kristensen, V; Børresen-Dale, AL; García-Closas, M; Chanock, SJ; Lissowska, J; Figueroa, JD; Schmidt, MK; Broeks, A; Verhoef, S; Rutgers, EJ; Brauch, H; Brüning, T; Ko, YD; Couch, FJ; Toland, AE; Yannoukakos, D; Pharoah, PD; Hall, P; Benítez, J; Malats, N; Easton, DF

Abstract:

Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer ...

Expand abstract

Publication status:

Published

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Cite

Cite this record

APA Style

Milne, R. L., Herranz, J., Michailidou, K., Dennis, J., Tyrer, J. P., Zamora, M. P., Arias-Perez, J. I., González-Neira, A., Pita, G., Alonso, M. R., Wang, Q., Bolla, M. K., Czene, K., Eriksson, M., Humphreys, K., Darabi, H., Li, J., Anton-Culver, H., Neuhausen, S. L., … Easton, D. F. (2014). A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium. Human Molecular Genetics, 23(7), 1934–1946.

MLA Style

Milne, R. L., et al. “A Large-Scale Assessment of Two-Way SNP Interactions in Breast Cancer Susceptibility Using 46,450 Cases and 42,461 Controls from the Breast Cancer Association Consortium.” Human Molecular Genetics, vol. 23, no. 7, 2014, pp. 1934–46.

Chicago Style

Milne, RL, J Herranz, K Michailidou, J Dennis, JP Tyrer, MP Zamora, JI Arias-Perez, et al. 2014. “A Large-Scale Assessment of Two-Way SNP Interactions in Breast Cancer Susceptibility Using 46,450 Cases and 42,461 Controls from the Breast Cancer Association Consortium.” Human Molecular Genetics 23 (7): 1934–46.
Tweet
Print