Authors
Zsofia Kote-Jarai, Douglas F Easton, Janet L Stanford, Elaine A Ostrander, Johanna Schleutker, Sue A Ingles, Daniel Schaid, Stephen Thibodeau, Thilo Dork, David Neal, Angela Cox, Christiane Maier, Walter Vogel, Michelle Guy, Kenneth Muir, Artitaya Lophatananon, Mary-Anne Kedda, Amanda Spurdle, Suzanne Steginga, Esther M John, Graham Giles, John Hopper, Pierre O Chappuis, Pierre Hutter, William D Foulkes, Nancy Hamel, Claudia A Salinas, Joseph S Koopmeiners, Danielle M Karyadi, Bo Johanneson, Tiina Wahlfors, Teuvo L Tammela, Mariana C Stern, Roman Corral, Shannon K McDonnell, Peter Schürmann, Andreas Meyer, Rainer Kuefer, Daniel A Leongamornlert, Malgorzata Tymrakiewicz, Jo-fen Liu, Tracy O'Mara, RA Gardiner, Joanne Aitken, Amit D Joshi, Gianluca Severi, Dallas R English, Melissa Southey, Stephen M Edwards, Ali Amin Al Olama, PRACTICAL Consortium, Rosalind A Eeles
Publication date
2008/8/1
Journal
Cancer Epidemiology Biomarkers & Prevention
Volume
17
Issue
8
Pages
2052-2061
Publisher
American Association for Cancer Research
Description
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. Six of the seven SNPs showed clear evidence of association with prostate cancer (P = 0.0007-P = 10−17). For each of these six SNPs, the estimated per-allele OR was similar to those previously reported and ranged from 1.12 to 1.29. One SNP on 3p12 (rs2660753) showed a weaker association than previously reported [per-allele OR, 1.08 (95% confidence interval, 1.00-1.16; P = 0.06) versus 1.18 (95 …
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Scholar articles
Z Kote-Jarai, DF Easton, JL Stanford, EA Ostrander… - Cancer Epidemiology Biomarkers & Prevention, 2008