• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on BioInformatics and BioEngineering >A novel information theoretic method for detecting gene-gene and gene-environment interactions in complex diseases
【24h】

A novel information theoretic method for detecting gene-gene and gene-environment interactions in complex diseases

机译：一种新型信息理论方法，用于检测复杂疾病中基因基因和基因环境相互作用

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Gene-gene and gene-environment interactions play important roles in the etiology of complex multi-factorial diseases.With the advancements in genotyping technology, large genetic association studies based on hundreds of thousands of single-nucleotide polymorphisms are a popular option for the study of complex diseases. In this paper we use information theoretic concepts to develop a novel method for detecting statistical gene-gene and gene-environment interactions in complex disease models. We explore the effectiveness of our method with extensive simulations using different gene-gene interaction models and the rheumatoid arthritis dataset from Genetic Analysis Workshop-15. The performance of the method was compared to the well known multi-factor dimensionality reduction (MDR) and generalized MDR (GMDR) methods. We demonstrate that our method is capable of analyzing a diverse range of epidemiological data sets containing evidences for gene-gene interactions.
机译：基因 - 基因和基因环境相互作用在复杂多因素疾病的病因中起重要作用。基因分型技术的进步，基于数十万个单核苷酸多态性的大型遗传关联研究是研究的流行选择复杂疾病。在本文中，我们使用信息理论概念来制定一种检测复杂疾病模型中统计基因基因和基因环境相互作用的新方法。我们探讨了我们使用不同基因 - 基因相互作用模型的广泛模拟的方法和来自遗传分析研讨会-15的类风湿性关节炎数据集的效果。将该方法的性能与众所周知的多因子维度减少（MDR）和广义MDR（GMDR）方法进行比较。我们证明我们的方法能够分析包含用于基因基因相互作用的证据的各种流行病学数据集。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号