Article

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

Section of Cancer Genetics Team, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey SM2 5NG, United Kingdom.
Cancer Epidemiology Biomarkers &amp Prevention (impact factor: 4.12). 09/2008; 17(8):2052-61. DOI:10.1158/1055-9965.EPI-08-0317 pp.2052-61
Source: PubMed

ABSTRACT 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% confidence interval, 1.06-1.31)]. The combined risks associated with each pair of SNPs were consistent with a multiplicative risk model. Under this model, and in combination with previously reported SNPs on 8q and 17q, these loci explain 16% of the familial risk of the disease, and men in the top 10% of the risk distribution have a 2.1-fold increased risk relative to general population rates. This study provides strong confirmation of these susceptibility loci in multiple populations and shows that they make an important contribution to prostate cancer risk prediction.

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Keywords

13 groups
 
7,370 prostate cancer cases
 
95% confidence interval
 
chromosomes 3
 
combined risks
 
familial risk
 
general population rates
 
genetic variants
 
genotyping assays
 
multiple populations
 
prostate cancer
 
prostate cancer risk
 
prostate cancer risk prediction
 
recent genome-wide association study
 
seven SNPs
 
significant single-nucleotide polymorphisms
 
six SNPs
 
susceptibility loci
 
unconditional logistic regression
 
weaker association