Now showing items 3-15 of 15

    • Gene and pathway level analyses of germline DNA-repair gene variants and prostate cancer susceptibility using the iCOGS-genotyping array 

      Saunders, Edward J; Dadaev, Tokhir; Leongamornlert, Daniel A; Al, Seyed Ali; Benlloch, Sara; Giles, Graham G; Wiklund, Fredrik et al. (Nature Publishing Group, 2016-03-10)
      Background: Germline mutations within DNA-repair genes are implicated in susceptibility to multiple forms of cancer. For prostate cancer (PrCa), rare mutations in BRCA2 and BRCA1 give rise to moderately elevated risk, ...
    • Genetic determinants of telomere length and risk of common cancers: a Mendelian randomization study 

      Zhang, Chenan; Doherty, Jennifer A; Burgess, Stephen; Hung, Rayjean J; Lindström, Sara; Kraft, Peter; Gong, Jian et al. (Oxford University Press, 2015-07-02)
      Epidemiological studies have reported inconsistent associations between telomere length (TL) and risk for various cancers. These inconsistencies are likely attributable, in part, to biases that arise due to post-diagnostic ...
    • A genetic study and meta-analysis of the genetic predisposition of prostate cancer in a Chinese population 

      Marzec, Jacek; Mao, Xueying; Li, Meiling; Wang, Meilin; Feng, Ninghan; Gou, Xin; Wang, Guomin et al. (Impact Journals, 2016-02-08)
      Prostate cancer predisposition has been extensively investigated in European populations, but there have been few studies of other ethnic groups. To investigate prostate cancer susceptibility in the under-investigated ...
    • A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease 

      Scott, Robert; Freitag, Daniel F; Li, Li; Chu, Audrey Y; Surendran, Praveen; Young, Robin; Grarup, Niels et al. (American Association for the Advancement of Science, 2016-06-01)
      Regulatory authorities have indicated that new drugs to treat type 2 diabetes (T2D) should not be associated with an unacceptable increase in cardiovascular risk. Human genetics may be able to guide development of antidiabetic ...
    • 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. (Springer Nature, 2017-08)
      BACKGROUND: Evidence on height and prostate cancer risk is mixed, however, recent studies with large data sets support a possible role for its association with the risk of aggressive prostate cancer. METHODS: We analysed ...
    • The OncoArray Consortium: a Network for Understanding the Genetic Architecture of Common Cancers 

      Amos, Christopher I; Dennis, Joe; Wang, Zhaoming; Byun, Jinyoung; Schumacher, Fredrick R; Gayther, Simon A; Casey, Graham et al. (American Association for Cancer Research, 2016-10-03)
      Background: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an ...
    • 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 ...
    • 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)
    • Prostate cancer risk regions at 8q24 and 17q24 are differentially associated with somatic TMPRSS2:ERG fusion status. 

      Luedeke, Manuel; Rinckleb, Antje E; FitzGerald, Liesel M; Geybels, Milan S; Schleutker, Johanna; Eeles, Rosalind A; Teixeira, Manuel R et al. (Oxford University Press, 2016-12)
      Molecular and epidemiological differences have been described between $\small \textit{TMPRSS2:ERG}$ fusion-positive and fusion-negative prostate cancer (PrCa). Assuming two molecularly distinct subtypes, we have examined ...
    • Risk Analysis of Prostate Cancer in PRACTICAL Consortium - Response 

      Amin, Al Olama Ali; Eeles, Rosalind A; Kote-Jarai, Zsofia; Easton, Seyed Ali
    • 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 ...
    • Screening for ovarian cancer in women with varying levels of risk, using annual tests, results in high recall for repeat screening tests. 

      Nobbenhuis, Marielle AE; Bancroft, Elizabeth; Moskovic, Eleanor; Lennard, Fiona; Pharoah, Paul David; Jacobs, Ian; Ward, Ann et al. (2011-11-23)
      Abstract Background We assessed ovarian cancer screening outcomes in women with a positive family history of ovarian cancer divided into a low-, moderate- or high-risk group for development of ovarian cancer. Methods 545 ...
    • Use of a novel non-parametric version of DEPTH to identify genomic regions associated with prostate cancer risk 

      MacInnis, Robert J; Schmidt, Daniel F; Makalic, Enes; Severi, Gianluca; FitzGerald, Liesel M; Reumann, Matthias; Kapuscinski, Miroslaw K et al. (American Association for Cancer Research, 2016-08-18)
      $\textbf{Background:}$ We have developed a GWAS analysis method called DEPTH (DEPendency of association on the number of Top Hits) to identify genomic regions potentially associated with disease by considering overlapping ...