CAREER: Integrated Approaches to Mapping Genome to Phenome

南加州大学因开发基因组到表型图谱的综合方法而获得奖项。该项目将利用快速积累的基因组学数据体，特别是大量的公共微阵列数据，结合相关的表型和环境背景信息，重建表型的生物学基础。传统的关联研究已经相对成功地将遗传多态性与表型联系起来。然而，他们在阐明导致复杂表型的基因-基因相互作用方面遇到了困难。正如基因组和蛋白质组表示生物体的所有基因和蛋白质一样，表型组代表其全部表型特征。该项目的目标是开发新的方法，旨在获得基因型-表型关联的全基因组分子网络，称为“表型关联”。该项目将开展四项具体活动：(1)表型特异性网络模块的全基因组图谱绘制；(2)系统重建表型特异性转录调控网络；(3)利用公共基因组数据库，特别是大型公共微阵列数据库，建立自动化疾病诊断数据库，进行表型预测和计算诊断；(4)开发集成基因组学和表型组学分析的软件/数据库系统。拟议的研究与计算基因组学研究生和本科生的多学科培训相结合。为高中生物教师设立论坛，为高中学生举办事业讨论活动。社区外展活动将得到南加州大学邻里学术倡议的支持。

The University of Southern California is awarded an award for the development of integrated approaches to genome to phenome mapping. The project will utilize the rapidly accumulating body of genomics data, especially the enormous amount of public microarray data, together with the associated phenotypic and environmental context information to reconstruct the biological basis of phenotypes. Traditional association studies have been relatively successful at relating genetic polymorphisms to phenotypes. However, they have met difficulties in elucidating the gene-gene interactions that contribute to complex phenotypes. Just as the genome and proteome signify all of an organism's genes and proteins, the phenome represents the entirety of its phenotypic traits. The objective of the project is to develop novel methods aimed at deriving genome-wide molecular networks of genotype-phenotype associations, termed "phenomic associations.? The project will carry out four specific activities: (1) genome-wide mapping of phenotype-specific network modules; (2) systematic reconstruction of phenotype-specific transcriptional regulatory networks; (3) phenotype prediction and computational diagnosis utilizing public genomics databases, especially the large public microarray repositories, to create an automated disease diagnosis database; and (4) development of a software/database system that will integrate genomics and phenomics analysis. The proposed research is coupled with multidisciplinary training of graduate and undergraduate students in computational genomics. A forum will created for high school biology teachers and career discussion events will be hosted for high school students. Community outreach activities will be supported by the USC Neighborhood Academic Initiative.