Dyson Greg, Frikke-Schmidt Ruth, Nordestgaard Børge G, Tybjaerg-Hansen Anne, Sing Charles F
Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109-0618, USA, and Department of Clinical Biochemistry, Section for Molecular Genetics, Rigshospitalet, Copenhagen University Hospital, Denmark.
Genet Epidemiol. 2007 Sep;31(6):515-27. doi: 10.1002/gepi.20225.
Different combinations of genetic and environmental risk factors are known to contribute to the complex etiology of ischemic heart disease (IHD) in different subsets of individuals. We employed the Patient Rule-Induction Method (PRIM) to select the combination of risk factors and risk factor values that identified each of 16 mutually exclusive partitions of individuals having significantly different levels of risk of IHD. PRIM balances two competing objectives: (1) finding partitions where the risk of IHD is high and (2) maximizing the number of IHD cases explained by the partitions. A sequential PRIM analysis was applied to data on the incidence of IHD collected over 8 years for a sample of 5,455 unrelated individuals from the Copenhagen City Heart Study (CCHS) to assess the added value of variation in two candidate susceptibility genes beyond the traditional, lipid and body mass index risk factors for IHD. An independent sample of 362 unrelated individuals also from the city of Copenhagen was used to test the model obtained for each of the hypothesized partitions.
已知遗传和环境风险因素的不同组合会导致不同个体亚组中缺血性心脏病(IHD)的复杂病因。我们采用患者规则归纳法(PRIM)来选择风险因素和风险因素值的组合,以识别具有显著不同IHD风险水平的16个相互排斥的个体分区。PRIM平衡了两个相互竞争的目标:(1)找到IHD风险高的分区;(2)最大化由这些分区解释的IHD病例数。对哥本哈根市心脏研究(CCHS)中5455名无亲属关系个体的样本在8年期间收集的IHD发病率数据进行了顺序PRIM分析,以评估两个候选易感基因变异相对于IHD传统的脂质和体重指数风险因素的附加值。还使用了另一个同样来自哥本哈根市的362名无亲属关系个体的独立样本,来检验为每个假设分区获得的模型。