Now showing items 3-9 of 9

    • Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer. 

      Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara; Canisius, Sander; Dennis, Joe; Lush, Michael J.; Maranian, Mel J. et al. (NPG, 2015-03-09)
      Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ~14% of the familial risk of the disease. To identify new ...
    • 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 ...
    • GWAS meta-analysis of 16,852 women identifies new susceptibility locus for endometrial cancer. 

      Chen, Maxine M.; O'Mara, Tracy A.; Thompson, Deborah J.; Painter, Jodie N.; The Australian National Endometrial Cancer Study Group (ANECS); Attia, John; Black, Amanda et al. (Oxford University Press, 2016-03-23)
      Endometrial cancer is the most common gynecological malignancy in the developed world. Although there is evidence of genetic predisposition to the disease, most of the genetic risk remains unexplained. We present the ...
    • High-throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association Consortium 

      Abubakar, Mustapha; Howat, William J.; Daley, Frances; Zabaglo, Lila; McDuffus, Leigh-Anne; Blows, Fiona; Coulson, Penny et al. (Wiley, 2016-04-06)
      Automated methods are needed to facilitate high-throughput and reproducible scoring of Ki67 and other markers in breast cancer tissue microarrays (TMAs) in large-scale studies. To address this need, we developed an automated ...
    • 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, 2016-09-05)
      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 ...
    • Performance of automated scoring of ER, PR, HER2, CK5/6 and EGFR in breast cancer tissue microarrays in the Breast Cancer Association Consortium 

      Howat, William; Blows, Fiona; Provenzano, Elena; Brook, Mark; Morris, Lorna; Gazinska, Patrycja; Johnson, Nicola et al. (Wiley, 2014-12-04)
      Breast cancer risk factors and clinical outcomes vary by tumor marker expression. However, individual studies often lack the power required to assess these relationships, and large-scale analyses are limited by the need ...
    • Research data supporting "Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer" 

      Candido do Reis, Francisco J.; Lynn, Stuart; Ali, H. Raza; Eccles, Diana; Hanby, Andrew; Provenzano, Elena; Caldas, Carlos et al. (2015-05-08)