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排序方式: 共有602条查询结果,搜索用时 15 毫秒
601.
Chung CC Ciampa J Yeager M Jacobs KB Berndt SI Hayes RB Gonzalez-Bosquet J Kraft P Wacholder S Orr N Yu K Hutchinson A Boland J Chen Q Feigelson HS Thun MJ Diver WR Albanes D Virtamo J Weinstein S Schumacher FR Cancel-Tassin G Cussenot O Valeri A Andriole GL Crawford ED Haiman CA Henderson BE Kolonel L Le Marchand L Siddiq A Riboli E Key TJ Kaaks R Isaacs WB Isaacs SD Grönberg H Wiklund F Xu J Vatten LJ Hveem K Njolstad I Gerhard DS Tucker M Hoover RN Fraumeni JF Hunter DJ Thomas G Chatterjee N 《Human molecular genetics》2011,20(14):2869-2878
Genome-wide association studies have identified prostate cancer susceptibility alleles on chromosome 11q13. As part of the Cancer Genetic Markers of Susceptibility (CGEMS) Initiative, the region flanking the most significant marker, rs10896449, was fine mapped in 10 272 cases and 9123 controls of European origin (10 studies) using 120 common single nucleotide polymorphisms (SNPs) selected by a two-staged tagging strategy using HapMap SNPs. Single-locus analysis identified 18 SNPs below genome-wide significance (P< 10(-8)) with rs10896449 the most significant (P= 7.94 × 10(-19)). Multi-locus models that included significant SNPs sequentially identified a second association at rs12793759 [odds ratio (OR) = 1.14, P= 4.76 × 10(-5), adjusted P= 0.004] that is independent of rs10896449 and remained significant after adjustment for multiple testing within the region. rs10896438, a proxy of previously reported rs12418451 (r(2)= 0.96), independent of both rs10896449 and rs12793759 was detected (OR = 1.07, P= 5.92 × 10(-3), adjusted P= 0.054). Our observation of a recombination hotspot that separates rs10896438 from rs10896449 and rs12793759, and low linkage disequilibrium (rs10896449-rs12793759, r(2)= 0.17; rs10896449-rs10896438, r(2)= 0.10; rs12793759-rs10896438, r(2)= 0.12) corroborate our finding of three independent signals. By analysis of tagged SNPs across ~123 kb using next generation sequencing of 63 controls of European origin, 1000 Genome and HapMap data, we observed multiple surrogates for the three independent signals marked by rs10896449 (n= 31), rs10896438 (n= 24) and rs12793759 (n= 8). Our results indicate that a complex architecture underlying the common variants contributing to prostate cancer risk at 11q13. We estimate that at least 63 common variants should be considered in future studies designed to investigate the biological basis of the multiple association signals. 相似文献
602.
Berndt SI Sampson J Yeager M Jacobs KB Wang Z Hutchinson A Chung C Orr N Wacholder S Chatterjee N Yu K Kraft P Feigelson HS Thun MJ Diver WR Albanes D Virtamo J Weinstein S Schumacher FR Cancel-Tassin G Cussenot O Valeri A Andriole GL Crawford ED Haiman C Henderson B Kolonel L Le Marchand L Siddiq A Riboli E Travis RC Kaaks R Isaacs W Isaacs S Wiley KE Gronberg H Wiklund F Stattin P Xu J Zheng SL Sun J Vatten LJ Hveem K Njølstad I Gerhard DS Tucker M Hayes RB Hoover RN Fraumeni JF Hunter DJ 《Human molecular genetics》2011,20(16):3322-3329
Previous genome-wide association studies have identified two independent variants in HNF1B as susceptibility loci for prostate cancer risk. To fine-map common genetic variation in this region, we genotyped 79 single nucleotide polymorphisms (SNPs) in the 17q12 region harboring HNF1B in 10 272 prostate cancer cases and 9123 controls of European ancestry from 10 case-control studies as part of the Cancer Genetic Markers of Susceptibility (CGEMS) initiative. Ten SNPs were significantly related to prostate cancer risk at a genome-wide significance level of P < 5 × 10(-8) with the most significant association with rs4430796 (P = 1.62 × 10(-24)). However, risk within this first locus was not entirely explained by rs4430796. Although modestly correlated (r(2)= 0.64), rs7405696 was also associated with risk (P = 9.35 × 10(-23)) even after adjustment for rs4430769 (P = 0.007). As expected, rs11649743 was related to prostate cancer risk (P = 3.54 × 10(-8)); however, the association within this second locus was stronger for rs4794758 (P = 4.95 × 10(-10)), which explained all of the risk observed with rs11649743 when both SNPs were included in the same model (P = 0.32 for rs11649743; P = 0.002 for rs4794758). Sequential conditional analyses indicated that five SNPs (rs4430796, rs7405696, rs4794758, rs1016990 and rs3094509) together comprise the best model for risk in this region. This study demonstrates a complex relationship between variants in the HNF1B region and prostate cancer risk. Further studies are needed to investigate the biological basis of the association of variants in 17q12 with prostate cancer. 相似文献