精神分裂症数据的统计方法研究

项目名称： 精神分裂症数据的统计方法研究

项目编号： No.11301213

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 数理科学和化学

项目作者： 金丽娜

作者单位： 吉林大学

项目金额： 22万元

中文摘要： 精神分裂症属于人类常见复杂疾病，其发生涉及遗传和环境因素的共同作用，且致病机制至今仍未被阐明，因此，在基因水平与外界环境因素上预防和治疗精神分裂症是当前医学研究中的重大课题。基于单倍型的关联分析方法是基因定位研究的一类统计方法，而且在发现与刻画人类复杂疾病的遗传基础时拥有很高的功效。然而，当研究的SNP位点很多时，迅速增加的单倍型种类限制了方法的效率、功效等；同时，大量的环境变量也带来同样的问题。因此，在本项目中，我们重点开展精神分裂症与遗传因素和环境因素的关联性的研究，对单倍型进行聚类，对环境变量进行模型选择，并基于"分而治之"的思想，利用两阶段法同时考察遗传因素和环境因素及其交互。进一步，研究精神分裂症各个分型与遗传因素和环境因素的关系，给流行病实际工作者提供理论上的指导和应用上的便利。

中文关键词： 精神分裂症；慢性病；结构信息；聚集；关联

英文摘要： Schizophrenia, as one of the common complex human disease, is developed by genetic and environmental factors, whose pathopoiesis has not been clear so far. Therefore, it is a significant issue for recent medical studies to treat schizophrenia on a level of gene and environmental factors. Haplotype-based association methods，which are used in gene mapping, provide great power and efficiency in the discovery and characterization of the genetic basis of complex human diseases. However, when investigating many SNP loci, the large number of haplotypes limits the power and efficiency of the methods; simultaneously, the great number of environmental variables suffers from the similar problems, caused by the number of parameters. Hence, we focus on the research on the associations between schizophrenia and genetic and environmental factors in this project. Haplotype clustering, and model selection to the environmental factors could offer appealing solutions respectively. And we introduce a two-stage strategy together with conditional model, to investigate genetic and environmental factors simultaneously, including their interactions. Furthermore, we will deliberate the relationship between different types of schizophrenia and the genetic and environmental factors. Finally, we will provide our softwares to genetic epidemi

英文关键词： Schizophrenia；chronic disease；structural information；clustering；association