A risk prediction algorithm based on family history and common genetic variants: application to prostate cancer with potential clinical impact
Article first published online: 18 JUL 2011
© 2011 Wiley-Liss, Inc.
Volume 35, Issue 6, pages 549–556, September 2011
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
- Issue published online: 21 AUG 2011
- Article first published online: 18 JUL 2011
- Manuscript Accepted: 31 MAY 2011
- Manuscript Revised: 3 MAY 2011
- Manuscript Received: 8 APR 2011
- 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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