Now showing items 4-13 of 13

    • Blood lipids and prostate cancer: a Mendelian randomization analysis 

      Bull, Caroline J.; Bonilla, Carolina; Holly, Jeff M. P.; Perks, Claire M.; Davies, Neil; Haycock, Philip; Yu, Oriana Hoi Yun et al. (Wiley, 2016-03-19)
      Genetic risk scores were used as unconfounded instruments for specific lipid traits (Mendelian randomization) to assess whether circulating lipids causally influence prostate cancer risk. Data from 22,249 prostate cancer ...
    • Cost-effectiveness of primary offer of IVF vs. primary offer of IUI followed by IVF (for IUI failures) in couples with unexplained or mild male factor subfertility 

      Pashayan, Nora; Lyratzopoulos, Georgios; Mathur, Raj (2006-06-23)
      Abstract Background In unexplained and mild male factor subfertility, both intrauterine insemination (IUI) and in-vitro fertilisation (IVF) are indicated as first line treatments. Because the success rate of IUI is low, ...
    • Development and validation of risk score for predicting positive repeat prostate biopsy in patients with a previous negative biopsy in a UK population 

      Rochester, Mark A; Pashayan, Nora; Matthews, Fiona E; Doble, Andrew; McLoughlin, John (2009-07-16)
      Abstract Background Little evidence is available to determine which patients should undergo repeat biopsy after initial benign extended core biopsy (ECB). Attempts have been made to reduce the frequency of negative repeat ...
    • Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types 

      Kar, Siddhartha P.; Beesley, Jonathan; Amin Al Olama, Ali; Michailidou, Kyriaki; Tyrer, Jonathan; Kote-Jarai, ZSofia; Lawrenson, Kate et al. (American Association for Cancer Research, 2016-07-17)
      Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest ...
    • 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 ...
    • 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. (Wiley, 2016-10-26)
      Coffee consumption has been shown in some studies to be associated with lower risk of prostate cancer. However, it is unclear if this association is causal or due to confounding or reverse causality. We conducted a Mendelian ...
    • 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. (American Association for Cancer Research, 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. (BioMed Central, 2016-04-04)
      Background: Epidemiological studies have observed a positive association between an earlier age at sexual development and prostate cancer, but markers of sexual maturation in boys are imprecise and observational estimates ...
    • 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 C.; 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, 2016-12-30)
      $\textbf{MOTIVATION}$: 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. ...