Millstein Joshua, Conti David V, Gilliland Frank D, Gauderman W James
National Oceanic and Atmospheric Administration/National Marine Fisheries Service, Alaska Fisheries Science Center, Seattle, WA 98115, USA.
Am J Hum Genet. 2006 Jan;78(1):15-27. doi: 10.1086/498850. Epub 2005 Nov 11.
An efficient testing strategy called the "focused interaction testing framework" (FITF) was developed to identify susceptibility genes involved in epistatic interactions for case-control studies of candidate genes. In the FITF approach, likelihood-ratio tests are performed in stages that increase in the order of interaction considered. Joint tests of main effects and interactions are performed conditional on significant lower-order effects. A reduction in the number of tests performed is achieved by prescreening gene combinations with a goodness-of-fit chi2 statistic that depends on association among candidate genes in the pooled case-control group. Multiple testing is accounted for by controlling false-discovery rates. Simulation analysis demonstrated that the FITF approach is more powerful than marginal tests of candidate genes. FITF also outperformed multifactor dimensionality reduction when interactions involved additive, dominant, or recessive genes. In an application to asthma case-control data from the Children's Health Study, FITF identified a significant multilocus effect between the nicotinamide adenine dinucleotide (phosphate) reduced:quinone oxidoreductase gene (NQO1), myeloperoxidase gene (MPO), and catalase gene (CAT) (unadjusted P = .00026), three genes that are involved in the oxidative stress pathway. In an independent data set consisting primarily of African American and Asian American children, these three genes also showed a significant association with asthma status (P = .0008).
一种名为“聚焦交互测试框架”(FITF)的高效测试策略被开发出来,用于在候选基因的病例对照研究中识别参与上位性相互作用的易感基因。在FITF方法中,似然比检验按所考虑的相互作用顺序逐步进行。主效应和相互作用的联合检验在显著的低阶效应条件下进行。通过使用依赖于合并病例对照组中候选基因间关联性的拟合优度卡方统计量对基因组合进行预筛选,实现了所执行测试数量的减少。通过控制错误发现率来处理多重检验问题。模拟分析表明,FITF方法比候选基因的边际检验更具效力。当相互作用涉及加性、显性或隐性基因时,FITF也优于多因素降维方法。在应用于儿童健康研究中的哮喘病例对照数据时,FITF识别出烟酰胺腺嘌呤二核苷酸(磷酸)还原型:醌氧化还原酶基因(NQO1)、髓过氧化物酶基因(MPO)和过氧化氢酶基因(CAT)之间存在显著的多位点效应(未校正P = 0.00026),这三个基因都参与氧化应激途径。在一个主要由非裔美国儿童和亚裔美国儿童组成的独立数据集中,这三个基因也显示出与哮喘状态存在显著关联(P = 0.0008)。