Now showing items 1-5 of 5

    • Candidate gene-environment interactions in breast cancer. 

      Fletcher, O; Dudbridge, F (2014-10-17)
      Gene-environment interactions have the potential to shed light on biological processes leading to disease, identify individuals for whom risk factors are most relevant, and improve the accuracy of epidemiological risk ...
    • Gene-environment dependence creates spurious gene-environment interaction. 

      Dudbridge, F; Fletcher, O (2014-09)
      Gene-environment interactions have the potential to shed light on biological processes leading to disease and to improve the accuracy of epidemiological risk models. However, relatively few such interactions have yet been ...
    • Gene-environment interactions involving functional variants: Results from the Breast Cancer Association Consortium. 

      Barrdahl, M; Rudolph, A; Hopper, JL; Southey, MC; Broeks, A; Fasching, PA; Beckmann, MW; Gago-Dominguez, M; Castelao, JE; Guénel, P; Truong, T; Bojesen, SE; Gapstur, SM; Gaudet, MM; Brenner, H; Arndt, V; Brauch, H; Hamann, U; Mannermaa, A; Lambrechts, D; Jongen, L; Flesch-Janys, D; Thoene, K; Couch, FJ; Giles, GG; Simard, J; Goldberg, MS; Figueroa, J; Michailidou, K; Bolla, MK; Dennis, J; Wang, Q; Eilber, U; Behrens, S; Czene, K; Hall, P; Cox, A; Cross, S; Swerdlow, A; Schoemaker, MJ; Dunning, AM; Kaaks, R; Pharoah, PDP; Schmidt, M; Garcia-Closas, M; Easton, DF; Milne, RL; Chang-Claude, J (2017-11)
      Investigating the most likely causal variants identified by fine-mapping analyses may improve the power to detect gene-environment interactions. We assessed the interplay between 70 single nucleotide polymorphisms identified ...
    • Joint associations of a polygenic risk score and environmental risk factors for breast cancer in the Breast Cancer Association Consortium. 

      Rudolph, A; Song, M; Brook, MN; Milne, RL; Mavaddat, N; Michailidou, K; Bolla, MK; Wang, Q; Dennis, J; Wilcox, AN; Hopper, JL; Southey, MC; Keeman, R; Fasching, PA; Beckmann, MW; Gago-Dominguez, M; Castelao, JE; Guénel, P; Truong, T; Bojesen, SE; Flyger, H; Brenner, H; Arndt, V; Brauch, H; Brüning, T; Mannermaa, A; Kosma, V-M; Lambrechts, D; Keupers, M; Couch, FJ; Vachon, C; Giles, GG; MacInnis, RJ; Figueroa, J; Brinton, L; Czene, K; Brand, JS; Gabrielson, M; Humphreys, K; Cox, A; Cross, SS; Dunning, AM; Orr, N; Swerdlow, A; Hall, P; Pharoah, PDP; Schmidt, MK; Easton, DF; Chatterjee, N; Chang-Claude, J; García-Closas, M (2018-04)
      <h4>Background</h4>Polygenic risk scores (PRS) for breast cancer can be used to stratify the population into groups at substantially different levels of risk. Combining PRS and environmental risk factors will improve risk ...
    • Large-scale genotyping identifies 41 new loci associated with breast cancer risk. 

      Michailidou, K; Hall, P; Gonzalez-Neira, A; Ghoussaini, M; Dennis, J; Milne, RL; Schmidt, MK; Chang-Claude, J; Bojesen, SE; Bolla, MK; Wang, Q; Dicks, E; Lee, A; Turnbull, C; Rahman, N; Breast and Ovarian Cancer Susceptibility Collaboration; Fletcher, O; Peto, J; Gibson, L; Dos Santos Silva, I; Nevanlinna, H; Muranen, TA; Aittomäki, K; Blomqvist, C; Czene, K; Irwanto, A; Liu, J; Waisfisz, Q; Meijers-Heijboer, H; Adank, M; Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON); van der Luijt, RB; Hein, R; Dahmen, N; Beckman, L; Meindl, A; Schmutzler, RK; Müller-Myhsok, B; Lichtner, P; Hopper, JL; Southey, MC; Makalic, E; Schmidt, DF; Uitterlinden, AG; Hofman, A; Hunter, DJ; Chanock, SJ; Vincent, D; Bacot, F; Tessier, DC; Canisius, S; Wessels, LFA; Haiman, CA; Shah, M; Luben, R; Brown, J; Luccarini, C; Schoof, N; Humphreys, K; Li, J; Nordestgaard, BG; Nielsen, SF; Flyger, H; Couch, FJ; Wang, X; Vachon, C; Stevens, KN; Lambrechts, D; Moisse, M; Paridaens, R; Christiaens, M-R; Rudolph, A; Nickels, S; Flesch-Janys, D; Johnson, N; Aitken, Z; Aaltonen, K; Heikkinen, T; Broeks, A; Veer, LJV; van der Schoot, CE; Guénel, P; Truong, T; Laurent-Puig, P; Menegaux, F; Marme, F; Schneeweiss, A; Sohn, C; Burwinkel, B; Zamora, MP; Perez, JIA; Pita, G; Alonso, MR; Cox, A; Brock, IW; Cross, SS; Reed, MWR; Sawyer, EJ; Tomlinson, I; Kerin, MJ; Miller, N; Henderson, BE; Schumacher, F; Le Marchand, L; Andrulis, IL; Knight, JA; Glendon, G; Mulligan, AM; kConFab Investigators; Australian Ovarian Cancer Study Group; Lindblom, A; Margolin, S; Hooning, MJ; Hollestelle, A; van den Ouweland, AMW; Jager, A; Bui, QM; Stone, J; Dite, GS; Apicella, C; Tsimiklis, H; Giles, GG; Severi, G; Baglietto, L; Fasching, PA; Haeberle, L; Ekici, AB; Beckmann, MW; Brenner, H; Müller, H; Arndt, V; Stegmaier, C; Swerdlow, A; Ashworth, A; Orr, N; Jones, M; Figueroa, J; Lissowska, J; Brinton, L; Goldberg, MS; Labrèche, F; Dumont, M; Winqvist, R; Pylkäs, K; Jukkola-Vuorinen, A; Grip, M; Brauch, H; Hamann, U; Brüning, T; GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network; Radice, P; Peterlongo, P; Manoukian, S; Bonanni, B; Devilee, P; Tollenaar, RAEM; Seynaeve, C; van Asperen, CJ; Jakubowska, A; Lubinski, J; Jaworska, K; Durda, K; Mannermaa, A; Kataja, V; Kosma, V-M; Hartikainen, JM; Bogdanova, NV; Antonenkova, NN; Dörk, T; Kristensen, VN; Anton-Culver, H; Slager, S; Toland, AE; Edge, S; Fostira, F; Kang, D; Yoo, K-Y; Noh, D-Y; Matsuo, K; Ito, H; Iwata, H; Sueta, A; Wu, AH; Tseng, C-C; Van Den Berg, D; Stram, DO; Shu, X-O; Lu, W; Gao, Y-T; Cai, H; Teo, SH; Yip, CH; Phuah, SY; Cornes, BK; Hartman, M; Miao, H; Lim, WY; Sng, J-H; Muir, K; Lophatananon, A; Stewart-Brown, S; Siriwanarangsan, P; Shen, C-Y; Hsiung, C-N; Wu, P-E; Ding, S-L; Sangrajrang, S; Gaborieau, V; Brennan, P; McKay, J; Blot, WJ; Signorello, LB; Cai, Q; Zheng, W; Deming-Halverson, S; Shrubsole, M; Long, J; Simard, J; Garcia-Closas, M; Pharoah, PDP; Chenevix-Trench, G; Dunning, AM; Benitez, J; Easton, DF (2013-04)
      Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We ...