Now showing items 9-12 of 12

    • PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS 

      Southey, Melissa C; Goldgar, David; Winqvist, Robert; Pylkäs, Katri; Couch, Fergus; Tischkowitz, Marc Derek; Foulkes, William et al. (BMJ Publishing Group, 2016-09-05)
      Background The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are ...
    • Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts. 

      Seibert, Tyler M; Fan, Chun Chieh; Wang, Yunpeng; Zuber, Verena; Karunamuni, Roshan; Parsons, J Kellogg; Eeles, Rosalind A et al. (BMJ, 2018-01-10)
      Objectives: Prostate-specific-antigen (PSA) screening resulted in reduced prostate cancer (PCa) mortality in a large clinical trial, but due to many false positives and overdiagnosis of indolent disease, many guidelines ...
    • Quantifying the Genetic Correlation between Multiple Cancer Types. 

      Lindström, Sara; Finucane, Hilary; Bulik-Sullivan, Brendan; Schumacher, Fredrick R; Amos, Christopher I; Hung, Rayjean J; Rand, Kristin et al. (2017-09)
    • 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. ...