Hemminki Kari, Försti Asta, Bermejo Justo Lorenzo
Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120, Heidelberg, Germany.
Ann N Y Acad Sci. 2006 Sep;1076:137-48. doi: 10.1196/annals.1371.029.
Single nucleotide polymorphisms (SNPs) are extensively used in case-control studies of practically all cancer types. In addition to the pure genetic studies, gene-environment studies, which simultaneously consider environmental factors, have been increasingly conducted. All SNP studies aim at the identification of the role of inherited cancer susceptibility genes. However, being genetic markers, they are applicable only on heritable conditions, which is often a neglected fact. Based on the data on the heritability of cancer and the importance of environmental factors in cancer etiology, we discuss the likelihood of successful gene-environment studies. The available evidence is not conclusive, but it consistently points to a minor heritable etiology in cancer, which will hamper the success of SNP-based association studies. We use simulation techniques to examine which situations would favor the application of a gene-environment approach instead of the traditional environmental approach in case-control studies. The results show that well-chosen candidate gene with a relatively low allele frequency may improve the power to detect environmental determinants of a disease. However, this advantage is lost when the number of underlying genes increases. We are concerned about an indiscriminate use of genetic tools for cancers, which are mainly environmental in origin. The likelihood of success for SNP-based gene-environment studies increases if established environmental risk factors are tested on proven candidate genes. Enhancing the likelihood that the disease causation is genetic, for example, by selecting familial cases, may increase the power of the studies, and the rareness of those cases calls for collaborative networks.
单核苷酸多态性(SNPs)广泛应用于几乎所有癌症类型的病例对照研究。除了单纯的基因研究外,同时考虑环境因素的基因-环境研究也越来越多。所有的SNP研究都旨在确定遗传性癌症易感基因的作用。然而,作为遗传标记,它们仅适用于遗传性疾病,而这一事实常常被忽视。基于癌症遗传度的数据以及环境因素在癌症病因学中的重要性,我们讨论了基因-环境研究成功的可能性。现有证据并不确凿,但一致表明癌症中遗传性病因较小,这将阻碍基于SNP的关联研究的成功。我们使用模拟技术来研究在病例对照研究中哪些情况有利于采用基因-环境方法而非传统的环境方法。结果表明,选择合适的、等位基因频率相对较低的候选基因可能会提高检测疾病环境决定因素的能力。然而,当潜在基因数量增加时,这一优势就会丧失。我们担心在主要由环境因素引起的癌症中不加区分地使用基因工具。如果在已证实的候选基因上测试既定的环境风险因素,基于SNP的基因-环境研究成功的可能性会增加。例如,通过选择家族性病例来增加疾病病因是遗传性的可能性,可能会提高研究的效力,而这些病例的罕见性需要协作网络。