Now showing items 1-12 of 12

    • Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation 

      Gusev, Alexander; Shi, Huwenbo; Kichaev, Gleb; Pomerantz, Mark; Li, Fugen; Long, Henry W; Ingles, Sue A et al. (Nature Publishing Group, 2016-04-07)
      Although genome-wide association studies have identified over 100 risk loci that explain ~33% of familial risk for prostate cancer (PrCa), their functional effects on risk remain largely unknown. Here we use genotype data ...
    • Common Genetic Variation and Susceptibility to Ovarian Cancer: Current Insights and Future Directions 

      Kar, Siddhartha P; Berchuck, Andrew; Gayther, Simon A; Goode, Ellen L; Moysich, Kirsten B; Pearce, Celeste Leigh; Ramus, Susan J et al.
      In this review, we summarize current progress in the genetic epidemiology of epithelial ovarian cancer (EOC), focusing exclusively on elucidating the role of common germline genetic variation in conferring susceptibility ...
    • Functional Mechanisms Underlying Pleiotropic Risk Alleles at the 19p13.1 Breast-Ovarian Cancer Susceptibility Locus 

      Lawrenson, Kate; Kar, Siddhartha; McCue, Karen; Kuchenbaeker, Karoline; Michailidou, Kyriaki; Tyrer, Jonathan; Beesley, Jonathan et al. (Nature Publishing Group, 2016)
      A locus at 19p13 is associated with breast cancer (BC) and ovarian cancer (OC) risk. We analyzed 438 SNPs in this region in 46,451 BC and 15,438 OC cases, 15,252 BRCA1 mutation carriers and 73,444 controls and identified ...
    • 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 ...
    • 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 ...
    • Identification of six new susceptibility loci for invasive epithelial ovarian cancer 

      Kuchenbaecker, Karoline Bernhardine; Ramus, Susan J; Tyrer, Jonathan; Lee, Andrew; Shen, Howard C; Beesley, Jonathan; Lawrenson, Kate et al. (2015-01-12)
      Genome-wide association studies (GWAS) have identified 12 epithelial ovarian cancer (EOC) susceptibility alleles. The pattern of association at these loci is consistent in BRCA1 and BRCA2 mutation carriers who are at high ...
    • Meta-analysis of 8q24 for seven cancers reveals a locus between NOV and ENPP2 associated with cancer development 

      Brisbin, Abra G; Asmann, Yan W; Song, Honglin; Tsai, Ya-Yu; Aakre, Jeremiah A; Yang, Ping; Jenkins, Robert B et al. (2011-12-05)
      Abstract Background Human chromosomal region 8q24 contains several genes which could be functionally related to cancer, including the proto-oncogene c-MYC. However, the abundance of associations around 128 Mb on chromosome ...
    • 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 ...
    • 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. ...