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

Authors :
Kote-Jarai Z
Easton DF
Stanford JL
Ostrander EA
Schleutker J
Ingles SA
Schaid D
Thibodeau S
Dörk T
Neal D
Donovan J
Hamdy F
Cox A
Maier C
Vogel W
Guy M
Muir K
Lophatananon A
Kedda MA
Spurdle A
Steginga S
John EM
Giles G
Hopper J
Chappuis PO
Hutter P
Foulkes WD
Hamel N
Salinas CA
Koopmeiners JS
Karyadi DM
Johanneson B
Wahlfors T
Tammela TL
Stern MC
Corral R
McDonnell SK
Schürmann P
Meyer A
Kuefer R
Leongamornlert DA
Tymrakiewicz M
Liu JF
O'Mara T
Gardiner RA
Aitken J
Joshi AD
Severi G
English DR
Southey M
Edwards SM
Al Olama AA
Eeles RA
Source :
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology [Cancer Epidemiol Biomarkers Prev] 2008 Aug; Vol. 17 (8), pp. 2052-61.
Publication Year :
2008

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.

Details

Language :
English
ISSN :
1055-9965
Volume :
17
Issue :
8
Database :
MEDLINE
Journal :
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
Publication Type :
Academic Journal
Accession number :
18708398
Full Text :
https://doi.org/10.1158/1055-9965.EPI-08-0317