文章基本信息

标题：Classification Method for Predicting the Development of Myocardial Infarction by Using the Interaction between Genetic and Environmental Factors
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作者：Yasuyuki Tomita ; Hiroyuki Asano ; Hideo Izawa 等
期刊名称：IPSJ Digital Courier
电子版ISSN：1349-7456
出版年度：2006
卷号：2
页码：691-709
DOI：10.2197/ipsjdc.2.691
出版社：Information Processing Society of Japan
摘要：Multifactorial diseases, such as lifestyle-related diseases, for example, cancer, diabetes mellitus, and myocardial infarction, are believed to be caused by the complex interactions between various environmental factors on a polygenic basis. In addition, it is believed that genetic risk factors for the same disease differ on an individual basis according to their susceptible environmental factors. In the present study, to predict the development of myocardial infarction (MI) and classify the subjects into personally optimum development patterns, we have extracted risk factor candidates (RFCs) that comprised a state that is a derivative form of polymorphisms and environmental factors using a statistical test. We then selected the risk factors using a criterion for detecting personal group (CDPG), which is defined in the present study. By using CDPG, we could predict the development of MI in blinded subjects with an accuracy greater than 75%. In addition, the risk percentage for MI was higher with an increase in the number of selected risk factors in the blinded data. Since sensitivity using the CDPG was high, it can be an effective and useful tool in preventive medicine and its use may provide a high quality of life and reduce medical costs.