Mathematical Institute, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
PLoS One. 2012;7(12):e51880. doi: 10.1371/journal.pone.0051880. Epub 2012 Dec 20.
Recently, genome-wide association studies have identified and validated genetic variations associated with urinary bladder cancer (UBC). However, it is still unknown whether the high-risk alleles of several SNPs interact with one another, leading to an even higher disease risk. Additionally, there is no information available on how the UBC risk due to these SNPs compare to the risk of cigarette smoking and to occupational exposure to urinary bladder carcinogens, and whether the same or different SNP combinations are relevant in smokers and non-smokers. To address these questions, we analyzed the genotypes of six SNPs, previously found to be associated with UBC, together with the GSTM1 deletion, in 1,595 UBC cases and 1,760 controls, stratified for smoking habits. We identified the strongest interactions of different orders and tested the stability of their effect by bootstrapping. We found that different SNP combinations were relevant in smokers and non-smokers. In smokers, polymorphisms involved in detoxification of cigarette smoke carcinogens were most relevant (GSTM1, rs11892031), in contrast to those in non-smokers with MYC and APOBEC3A near polymorphisms (rs9642880, rs1014971) being the most influential. Stable combinations of up to three high-risk alleles resulted in higher odds ratios (OR) than the individual SNPs, although the interaction effect was less than additive. The highest stable combination effects resulted in an OR of about 2.0, which is still lower than the ORs of cigarette smoking (here, current smokers' OR: 3.28) and comparable to occupational carcinogen exposure risks which, depending on the workplace, show mostly ORs up to 2.0.
最近,全基因组关联研究已经确定并验证了与膀胱癌(UBC)相关的遗传变异。然而,目前尚不清楚这些几个 SNP 的高风险等位基因是否相互作用,导致更高的疾病风险。此外,目前还没有关于这些 SNP 引起的 UBC 风险与吸烟和职业性接触膀胱癌致癌物的风险相比如何,以及这些 SNP 在吸烟者和非吸烟者中的作用是否相同或不同的信息。为了解决这些问题,我们分析了之前与 UBC 相关的六个 SNP 的基因型,以及 GSTM1 缺失,在 1595 例 UBC 病例和 1760 例对照中,根据吸烟习惯进行分层。我们确定了不同阶数的最强相互作用,并通过自举法测试了它们效应的稳定性。我们发现,不同的 SNP 组合在吸烟者和非吸烟者中是相关的。在吸烟者中,与香烟烟雾致癌物解毒相关的多态性最为相关(GSTM1,rs11892031),而在非吸烟者中,与 MYC 和 APOBEC3A 附近多态性(rs9642880,rs1014971)相关的多态性最为重要。多达三个高风险等位基因的稳定组合导致更高的比值比(OR),尽管相互作用效应低于加性。最高的稳定组合效应导致 OR 约为 2.0,这仍然低于吸烟的 OR(此处,当前吸烟者的 OR:3.28),与职业性致癌物暴露风险相当,取决于工作场所,大多数 OR 最高可达 2.0。