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Original Article

A risk prediction algorithm based on family history and common genetic variants: application to prostate cancer with potential clinical impact

  1. Robert J. MacInnis1,2,5,
  2. Antonis C. Antoniou1,*,
  3. Rosalind A. Eeles3,4,
  4. Gianluca Severi2,5,
  5. Ali Amin Al Olama1,
  6. Lesley McGuffog1,
  7. Zsofia Kote-Jarai3,
  8. Michelle Guy3,
  9. Lynne T. O'Brien3,
  10. Amanda L. Hall3,
  11. Rosemary A. Wilkinson3,
  12. Emma Sawyer3,
  13. Audrey T. Ardern-Jones4,
  14. David P. Dearnaley3,4,
  15. Alan Horwich3,4,
  16. Vincent S. Khoo3,4,6,
  17. Christopher C. Parker3,4,
  18. Robert A. Huddart3,4,
  19. Nicholas Van As4,
  20. Margaret R. McCredie7,
  21. Dallas R. English2,5,
  22. Graham G. Giles2,5,
  23. John L. Hopper2,
  24. Douglas F. Easton1

Article first published online: 18 JUL 2011

DOI: 10.1002/gepi.20605

Issue

Genetic Epidemiology

Genetic Epidemiology

Volume 35, Issue 6, pages 549–556, September 2011

Additional Information

How to Cite

MacInnis, R. J., Antoniou, A. C., Eeles, R. A., Severi, G., Al Olama, A. A., McGuffog, L., Kote-Jarai, Z., Guy, M., O'Brien, L. T., Hall, A. L., Wilkinson, R. A., Sawyer, E., Ardern-Jones, A. T., Dearnaley, D. P., Horwich, A., Khoo, V. S., Parker, C. C., Huddart, R. A., Van As, N., McCredie, M. R., English, D. R., Giles, G. G., Hopper, J. L. and Easton, D. F. (2011), A risk prediction algorithm based on family history and common genetic variants: application to prostate cancer with potential clinical impact. Genet. Epidemiol., 35: 549–556. doi: 10.1002/gepi.20605

Author Information

  1. 1

    Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom

  2. 2

    Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, Carlton, Victoria, Australia

  3. 3

    The Institute of Cancer Research, Sutton, Surrey, United Kingdom

  4. 4

    The Royal Marsden NHS Foundation Trust, Sutton, Surrey, and Fulham Road, London, United Kingdom

  5. 5

    Cancer Epidemiology Centre, The Cancer Council Victoria, Carlton, Victoria, Australia

  6. 6

    Departments of Medicine and Radiation Oncology, Austin Health & Northern Health Hospital and University of Melbourne

  7. 7

    Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand

*Centre for Cancer Genetic Epidemiology, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN, United Kingdom

Publication History

  1. Issue published online: 21 AUG 2011
  2. Article first published online: 18 JUL 2011
  3. Manuscript Accepted: 31 MAY 2011
  4. Manuscript Revised: 3 MAY 2011
  5. Manuscript Received: 8 APR 2011

Funded by

  • Cancer Research UK. Grant Numbers: C5047/A3354, C1287/A10118
  • The Institute of Cancer Research Everyman Campaign; The Prostate Cancer Research Foundation; Tattersall's; The Whitten Foundation; National Health and Medical Research Council (NHMRC). Grant Number: 930494
  • The National Institutes of Health. Grant Number: U01 CA89600

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