Journal article

Prostate Cancer Segregation Analyses Using 4390 Families from UK and Australian Population-Based Studies

Robert J MacInnis, Antonis C Antoniou, Rosalind A Eeles, Gianluca Severi, Michelle Guy, Lesley McGuffog, Amanda L Hall, Lynne T O'Brien, Rosemary A Wilkinson, David P Dearnaley, Audrey T Ardern-Jones, Alan Horwich, Vincent S Khoo, Christopher C Parker, Robert A Huddart, Margaret R McCredie, Charmaine Smith, Melissa C Southey, Margaret P Staples, Dallas R English Show all

Genetic Epidemiology | WILEY | Published : 2010

Abstract

Familial aggregation of prostate cancer is likely to be due to multiple susceptibility loci, perhaps acting in conjunction with shared lifestyle risk factors. Models that assume a single mode of inheritance may be unrealistic. We analyzed genetic models of susceptibility to prostate cancer using segregation analysis of occurrence in families ascertained through population-based series totaling 4390 incident cases. We investigated major gene models (dominant, recessive, general, X-linked), polygenic models, and mixed models of susceptibility using the pedigree analysis software MENDEL. The hypergeometric model was used to approximate polygenic inheritance. The best-fitting model for the famil..

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Grants

Awarded by National Health and Medical Research Council (NHMRC)


Awarded by Cancer Research UK


Awarded by Medical Research Council


Funding Acknowledgements

The Australian work was supported by grants from the National Health and Medical Research Council (NHMRC) (930494), Tattersall's, The Whitten Foundation, and by infrastructure provided by The Cancer Council Victoria. R. J. M. is a Sidney Sax Post Doctoral Research Fellow of the NHMRC. J. L. H. is an Australia Fellow of the NHMRC. The UK work was supported by Cancer Research UK Grant C5047/A3354. D. F. E. is a Principal Research Fellow of Cancer Research UK. R. A. E. acknowledges support from the NIHR to the Biomedical Research Centre at The Insitute of Cancer Research and Royal Marsden NHS Foundation.