Hsu Fang-Chi, Sun Jielin, Wiklund Fredrik, Isaacs Sarah D, Wiley Kathleen E, Purcell Lina D, Gao Zhengrong, Stattin Pär, Zhu Yi, Kim Seong-Tae, Zhang Zheng, Liu Wennuan, Chang Bao-Li, Walsh Patrick C, Duggan David, Carpten John D, Isaacs William B, Grönberg Henrik, Xu Jianfeng, Zheng S Lilly
Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Cancer Res. 2009 Apr 1;69(7):2720-3. doi: 10.1158/0008-5472.CAN-08-3347. Epub 2009 Mar 24.
A two-stage genome-wide association study (GWAS) of the Cancer Genetic Markers of Susceptibility (CGEMS) initiative identified single nucleotide polymorphisms (SNP) in 150 regions across the genome that may be associated with prostate cancer (PCa) risk. We filtered these results to identify 43 independent SNPs where the frequency of the risk allele was consistently higher in cases than in controls in each of the five CGEMS study populations. Genotype information for 22 of these 43 SNPs was obtained either directly by genotyping or indirectly by imputation in our PCa GWAS of 500 cases and 500 controls selected from a population-based case-control study in Sweden [Cancer of the Prostate in Sweden (CAPS)]. Two of these 22 SNPs were significantly associated with PCa risk (P<0.05). We then genotyped these two SNPs in the remaining cases (n=2,393) and controls (n=1,222) from CAPS and found that rs887391 at 19q13 was highly associated with PCa risk (P=9.4 x 10(-4)). A similar trend of association was found for this SNP in a case-control study from Johns Hopkins Hospital (JHH), albeit the result was not statistically significant. Altogether, the frequency of the risk allele of rs887391 was consistently higher in cases than controls among each of seven study populations examined, with an overall P=3.2 x 10(-7) from a combined allelic test. A fine-mapping study in a 110-kb region at 19q13 among CAPS and JHH study populations revealed that rs887391 was the most strongly associated SNP in the region. Additional confirmation studies of this region are warranted.
癌症易感性基因标记(CGEMS)计划的两阶段全基因组关联研究(GWAS)在全基因组的150个区域中鉴定出可能与前列腺癌(PCa)风险相关的单核苷酸多态性(SNP)。我们对这些结果进行筛选,以确定43个独立的SNP,在CGEMS的五个研究人群中,风险等位基因的频率在病例组中始终高于对照组。在我们对500例病例和500例对照进行的PCa GWAS中,通过基因分型直接获得或通过推算间接获得了这43个SNP中22个的基因型信息,这些病例和对照选自瑞典一项基于人群的病例对照研究[瑞典前列腺癌(CAPS)]。这22个SNP中的两个与PCa风险显著相关(P<0.05)。然后,我们对CAPS中其余的病例(n = 2393)和对照(n = 1222)进行这两个SNP的基因分型,发现19q13处的rs887391与PCa风险高度相关(P = 9.4×10⁻⁴)。在约翰霍普金斯医院(JHH)的一项病例对照研究中也发现了该SNP的类似关联趋势,尽管结果无统计学意义。总共,在所检查的七个研究人群中,rs887391风险等位基因的频率在病例组中始终高于对照组,联合等位基因检验的总体P值为3.2×10⁻⁷。在CAPS和JHH研究人群中对19q13处110 kb区域进行的精细定位研究表明,rs887391是该区域中关联最强的SNP。有必要对该区域进行额外的验证研究。