Now showing items 1-3 of 3

    • Evaluation of diffusion models in breast cancer. 

      Panek, R; Borri, M; Orton, M; O'Flynn, E; Morgan, V; Giles, SL; deSouza, N; Leach, MO; Schmidt, MA (2015-08)
      The purpose of this study is to investigate whether the microvascular pseudodiffusion effects resulting with non-monoexponential behavior are present in breast cancer, taking into account tumor spatial heterogeneity. ...
    • Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants. 

      Dadaev, T; Saunders, EJ; Newcombe, PJ; Anokian, E; Leongamornlert, DA; Brook, MN; Cieza-Borrella, C; Mijuskovic, M; Wakerell, S; Olama, AAA; Schumacher, FR; Berndt, SI; Benlloch, S; Ahmed, M; Goh, C; Sheng, X; Zhang, Z; Muir, K; Govindasami, K; Lophatananon, A; Stevens, VL; Gapstur, SM; Carter, BD; Tangen, CM; Goodman, P; Thompson, IM; Batra, J; Chambers, S; Moya, L; Clements, J; Horvath, L; Tilley, W; Risbridger, G; Gronberg, H; Aly, M; Nordström, T; Pharoah, P; Pashayan, N; Schleutker, J; Tammela, TLJ; Sipeky, C; Auvinen, A; Albanes, D; Weinstein, S; Wolk, A; Hakansson, N; West, C; Dunning, AM; Burnet, N; Mucci, L; Giovannucci, E; Andriole, G; Cussenot, O; Cancel-Tassin, G; Koutros, S; Freeman, LEB; Sorensen, KD; Orntoft, TF; Borre, M; Maehle, L; Grindedal, EM; Neal, DE; Donovan, JL; Hamdy, FC; Martin, RM; Travis, RC; Key, TJ; Hamilton, RJ; Fleshner, NE; Finelli, A; Ingles, SA; Stern, MC; Rosenstein, B; Kerns, S; Ostrer, H; Lu, Y-J; Zhang, H-W; Feng, N; Mao, X; Guo, X; Wang, G; Sun, Z; Giles, GG; Southey, MC; MacInnis, RJ; FitzGerald, LM; Kibel, AS; Drake, BF; Vega, A; Gómez-Caamaño, A; Fachal, L; Szulkin, R; Eklund, M; Kogevinas, M; Llorca, J; Castaño-Vinyals, G; Penney, KL; Stampfer, M; Park, JY; Sellers, TA; Lin, H-Y; Stanford, JL; Cybulski, C; Wokolorczyk, D; Lubinski, J; Ostrander, EA; Geybels, MS; Nordestgaard, BG; Nielsen, SF; Weisher, M; Bisbjerg, R; Røder, MA; Iversen, P; Brenner, H; Cuk, K; Holleczek, B; Maier, C; Luedeke, M; Schnoeller, T; Kim, J; Logothetis, CJ; John, EM; Teixeira, MR; Paulo, P; Cardoso, M; Neuhausen, SL; Steele, L; Ding, YC; De Ruyck, K; De Meerleer, G; Ost, P; Razack, A; Lim, J; Teo, S-H; Lin, DW; Newcomb, LF; Lessel, D; Gamulin, M; Kulis, T; Kaneva, R; Usmani, N; Slavov, C; Mitev, V; Parliament, M; Singhal, S; Claessens, F; Joniau, S; Van den Broeck, T; Larkin, S; Townsend, PA; Aukim-Hastie, C; Gago-Dominguez, M; Castelao, JE; Martinez, ME; Roobol, MJ; Jenster, G; van Schaik, RHN; Menegaux, F; Truong, T; Koudou, YA; Xu, J; Khaw, K-T; Cannon-Albright, L; Pandha, H; Michael, A; Kierzek, A; Thibodeau, SN; McDonnell, SK; Schaid, DJ; Lindstrom, S; Turman, C; Ma, J; Hunter, DJ; Riboli, E; Siddiq, A; Canzian, F; Kolonel, LN; Le Marchand, L; Hoover, RN; Machiela, MJ; Kraft, P; PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium; Freedman, M; Wiklund, F; Chanock, S; Henderson, BE; Easton, DF; Haiman, CA; Eeles, RA; Conti, DV; Kote-Jarai, Z (2018-06-11)
      Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable ...
    • Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma. 

      Went, M; Sud, A; Försti, A; Halvarsson, B-M; Weinhold, N; Kimber, S; van Duin, M; Thorleifsson, G; Holroyd, A; Johnson, DC; Li, N; Orlando, G; Law, PJ; Ali, M; Chen, B; Mitchell, JS; Gudbjartsson, DF; Kuiper, R; Stephens, OW; Bertsch, U; Broderick, P; Campo, C; Bandapalli, OR; Einsele, H; Gregory, WA; Gullberg, U; Hillengass, J; Hoffmann, P; Jackson, GH; Jöckel, K-H; Johnsson, E; Kristinsson, SY; Mellqvist, U-H; Nahi, H; Easton, D; Pharoah, P; Dunning, A; Peto, J; Canzian, F; Swerdlow, A; Eeles, RA; Kote-Jarai, Z; Muir, K; Pashayan, N; Nickel, J; Nöthen, MM; Rafnar, T; Ross, FM; da Silva Filho, MI; Thomsen, H; Turesson, I; Vangsted, A; Andersen, NF; Waage, A; Walker, BA; Wihlborg, A-K; Broyl, A; Davies, FE; Thorsteinsdottir, U; Langer, C; Hansson, M; Goldschmidt, H; Kaiser, M; Sonneveld, P; Stefansson, K; Morgan, GJ; Hemminki, K; Nilsson, B; Houlston, RS; PRACTICAL consortium (2018-09-13)
      Genome-wide association studies (GWAS) have transformed our understanding of susceptibility to multiple myeloma (MM), but much of the heritability remains unexplained. We report a new GWAS, a meta-analysis with previous ...