Jonathan Tyrer

Summary

Affiliation: Cancer Research UK
Country: UK

Publications

  1. ncbi A breast cancer prediction model incorporating familial and personal risk factors
    Jonathan Tyrer
    Department of Epidemiology, Mathematics and Statistics, Cancer Research UK
    Stat Med 23:1111-30. 2004
  2. ncbi Association between common variation in 120 candidate genes and breast cancer risk
    Paul D P Pharoah
    Department of Oncology, University of Cambridge, Cambridge, United Kingdom
    PLoS Genet 3:e42. 2007
  3. ncbi Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics
    Montserrat Garcia-Closas
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Marylan, United States of America
    PLoS Genet 4:e1000054. 2008
  4. ncbi Common variants in mismatch repair genes and risk of invasive ovarian cancer
    Honglin Song
    CR UK Department of Oncology, University of Cambridge Strangeways Research Laboratory, Cambridge, UK
    Carcinogenesis 27:2235-42. 2006
  5. ncbi The admixture maximum likelihood test: a novel experiment-wise test of association between disease and multiple SNPs
    Jonathan Tyrer
    Strangeways Research Laboratory, Department of Oncology, University of Cambridge, Worts Causeway, Cambridge, UK
    Genet Epidemiol 30:636-43. 2006
  6. ncbi Tagging single nucleotide polymorphisms in cell cycle control genes and susceptibility to invasive epithelial ovarian cancer
    Simon A Gayther
    Translational Research Laboratories, University College London, London, United Kingdom
    Cancer Res 67:3027-35. 2007

Detail Information

Publications6

  1. ncbi A breast cancer prediction model incorporating familial and personal risk factors
    Jonathan Tyrer
    Department of Epidemiology, Mathematics and Statistics, Cancer Research UK
    Stat Med 23:1111-30. 2004
    ..This risk was further refined based on the woman's personal history. The model has been incorporated into a computer program that gives a personalised risk estimate...
  2. ncbi Association between common variation in 120 candidate genes and breast cancer risk
    Paul D P Pharoah
    Department of Oncology, University of Cambridge, Cambridge, United Kingdom
    PLoS Genet 3:e42. 2007
    ..Large sample sizes from multicentre collaboration will be needed to identify associated SNPs with certainty...
  3. ncbi Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics
    Montserrat Garcia-Closas
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Marylan, United States of America
    PLoS Genet 4:e1000054. 2008
    ..Understanding the etiologic heterogeneity of breast cancer may ultimately result in improvements in prevention, early detection, and treatment...
  4. ncbi Common variants in mismatch repair genes and risk of invasive ovarian cancer
    Honglin Song
    CR UK Department of Oncology, University of Cambridge Strangeways Research Laboratory, Cambridge, UK
    Carcinogenesis 27:2235-42. 2006
    ..The observed association of PMS2 rs7797466 with ovarian cancer warrants confirmation in an independent study...
  5. ncbi The admixture maximum likelihood test: a novel experiment-wise test of association between disease and multiple SNPs
    Jonathan Tyrer
    Strangeways Research Laboratory, Department of Oncology, University of Cambridge, Worts Causeway, Cambridge, UK
    Genet Epidemiol 30:636-43. 2006
    ..The rank truncated product method also had good power, though somewhat inferior to the maximum likelihood approach in most cases. A simple Bonferroni correction performed best only when the number of associated SNPs was small...
  6. ncbi Tagging single nucleotide polymorphisms in cell cycle control genes and susceptibility to invasive epithelial ovarian cancer
    Simon A Gayther
    Translational Research Laboratories, University College London, London, United Kingdom
    Cancer Res 67:3027-35. 2007
    ..This study highlights the need for multicenter collaborations for genetic association studies...