Now showing items 1-9 of 9

    • A Kallikrein 15 (KLK15) single nucleotide polymorphism located close to a novel exon shows evidence of association with poor ovarian cancer survival 

      Batra, Jyotsna; Nagle, Christina M.; O'Mara, Tracy; Higgins, Melanie; Dong, Ying; Tan, Olivia L.; Lose, Felicity et al. (2011-04-01)
      Abstract Background KLK15 over-expression is reported to be a significant predictor of reduced progression-free survival and overall survival in ovarian cancer. Our aim was to analyse the KLK15 gene for putative functional ...
    • Assessing the genetic architecture of epithelial ovarian cancer histological subtypes 

      Cuellar-Partida, Gabriel; Lu, Yi; Dixon, Suzanne C.; Australian Ovarian Cancer Study; Fasching, Peter A.; Hein, Alexander; Burghaus, Stefanie et al. (Springer, 2016-04-13)
      Epithelial ovarian cancer (EOC) is one of the deadliest common cancers. The five most common types of disease are high-grade and low-grade serous, endometrioid, mucinous and clear cell carcinoma. Each of these subtypes ...
    • The contribution of deleterious germline mutations in BRCA1, BRCA2 and the mismatch repair genes to ovarian cancer in the population 

      Song, Honglin; Cicek, Mine S.; Dicks, Ed; Harrington, Patricia; Ramus, Susan J.; Cunningham, Julie M.; Fridley, Brooke L. et al. (Oxford University Press, 2014-04-30)
      The aim of this study was to estimate the contribution of deleterious mutations in BRCA1, BRCA2, MLH1, MSH2, MSH6 and PMS2 to invasive epithelial ovarian cancer (EOC) in the population. The coding sequence and splice site ...
    • 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 ...
    • 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 B.; 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 ...
    • 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; Foulkes, William et al. (BMJ Publishing Group, 2016)
      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 ...
    • A risk prediction algorithm for ovarian cancer incorporating BRCA1, BRCA2, common alleles and other familial effects 

      Jervis, Sarah; Song, Honglin; Lee, Andrew; Dicks, Ed; Harrington, Patricia; Baynes, Caroline; Manchanda, Ranjit et al. (BMJ Publishing, 2015-05-29)
      Background: Although BRCA1 and BRCA2 mutations account for only ∼27% of the familial aggregation of ovarian cancer (OvC), no OvC risk prediction model currently exists that considers the effects of BRCA1, BRCA2 and other ...