Now showing items 8-15 of 15

    • Height, selected genetic markers and prostate cancer risk: results from the PRACTICAL consortium. 

      Lophatananon, Artitaya; Stewart-Brown, Sarah; Kote-Jarai, Zsofia; Olama, Seyed Ali; Garcia, Sara Benlloch; Neal, David E; Hamdy, Freddie C et al. (2017-08)
    • Implications of polygenic risk-stratified screening for prostate cancer on overdiagnosis 

      Pashayan, Nora; Duffy, Stephen W; Neal, David E; Hamdy, Freddie C; Donovan, Jenny L; Martin, Richard M; Harrington, Patricia et al. (Nature Publishing Group, 2015-01-08)
      Purpose: This study aimed to quantify the probability of overdiagnosis of prostate cancer by polygenic risk. Methods: We calculated the polygenic risk score based on 66 known prostate cancer susceptibility variants for ...
    • Investigating the possible causal role of coffee consumption with prostate cancer risk and progression using Mendelian randomization analysis 

      Taylor, Amy E; Martin, Richard M; Geybels, Milan S; Stanford, Janet L; Shui, Irene; Eeles, Rosalind; Easton, Doug et al. (2016-10-26)
    • Polyunsaturated fatty acids and prostate cancer risk: a Mendelian randomisation analysis from the PRACTICAL consortium. 

      Khankari, Nikhil K; Murff, Harvey J; Zeng, Chenjie; Wen, Wanqing; Eeles, Rosalind A; Easton, Douglas Frederick; Kote-Jarai, Zsofia et al. (2016-08-04)
    • Population-based precision cancer screening: a symposium on evidence, epidemiology, and next steps 

      Marcus, Pamela M; Pashayan, Nora; Church, Timothy R; Doria-Rose, V Paul; Gould, Michael K; Hubbard, Rebecca A; Marrone, Michael et al. (2016-08-09)
    • Pubertal development and prostate cancer risk: Mendelian randomization study in a population-based cohort 

      Bonilla, Carolina; Lewis, Sarah J; Martin, Richard M; Donovan, Jenny L; Hamdy, Freddie C; Neal, David E; Eeles, Rosalind et al. (2016-04-04)
    • Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci 

      Amin, Al Olama Ali; Benlloch, Sara; Antoniou, Antonis; Giles, Graham G; Severi, Gianluca; Neal, David; Hamdy, Freddie C et al. (AACR, 2015-04-02)
      BACKGROUND: Genome-wide association studies have identified multiple genetic variants associated with prostate cancer (PrCa) risk which explain a substantial proportion of familial relative risk. These variants can be used ...
    • SNP interaction pattern identifier (SIPI): an intensive search for SNP-SNP interaction patterns. 

      Lin, Hui-Yi; Chen, Dung-Tsa; Huang, Po-Yu; Liu, Yung-Hsin; Ochoa, Augusto; Zabaleta, Jovanny; Mercante, Donald E et al. (Oxford University Press, 2017-03)
      $\textbf{MOTIVATION}$: Testing SNP-SNP interactions is considered as a key for overcoming bottlenecks of genetic association studies. However, related statistical methods for testing SNP-SNP interactions are underdeveloped. ...