Multiple novel prostate cancer predisposition loci confirmed by an international study: the PRACTICAL Consortium.

@article{KoteJarai2008MultipleNP,
  title={Multiple novel prostate cancer predisposition loci confirmed by an international study: the PRACTICAL Consortium.},
  author={Zsofia Kote-Jarai and Douglas F. Easton and Janet L. Stanford and Elaine A Ostrander and Johanna Schleutker and Sue Ann Ingles and Daniel J. Schaid and Stephen N. Thibodeau and Thilo D{\"o}rk and David E. Neal and Jenny Donovan and Freddie Hamdy and Angela Cox and Christiane Maier and Walter C. Vogel and Michelle Guy and Kenneth Muir and Artitaya Lophatananon and Mary-Anne Kedda and Amanda B Spurdle and Suzanne K. Steginga and Esther M John and Graham G. Giles and John L. Hopper and Pierre O Chappuis and Pierre Hutter and William D Foulkes and Nancy Hamel and Claudia A. Salinas and Joseph S Koopmeiners and Danielle M. Karyadi and Bo Johanneson and Tiina Wahlfors and Teuvo L. J. Tammela and Mariana C. Stern and R. Prieto Corral and Shannon K. McDonnell and Peter Schuermann and Andreas Meyer and Rainer Kuefer and Daniel A. Leongamornlert and Malgorzata Tymrakiewicz and Jo-Fen Liu and Tracy A. O'Mara and Robert Frank A Gardiner and Joanne Aitken and Amit D. Joshi and Gianluca Severi and Dallas English and Melissa C. Southey and Stephen M Edwards and Ali Amin Al Olama and Rosalind A. Eeles},
  journal={Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology},
  year={2008},
  volume={17 8},
  pages={2052-61}
}
A recent genome-wide association study found that genetic variants on chromosomes 3, 6, 7, 10, 11, 19 and X were associated with prostate cancer risk. We evaluated the most significant single-nucleotide polymorphisms (SNP) in these loci using a worldwide consortium of 13 groups (PRACTICAL). Blood DNA from 7,370 prostate cancer cases and 5,742 male controls was analyzed by genotyping assays. Odds ratios (OR) associated with each genotype were estimated using unconditional logistic regression… CONTINUE READING