Systems Genetics of the HPA

HPA 的系统遗传学

基本信息

批准号：
7661695
负责人：
ROBERT W. WILLIAMS
金额：
$ 23.19万
依托单位：
UNIVERSITY OF TENNESSEE HEALTH SCI CTR
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-07-20 至 2012-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7661695
关键词：
Adoption Animals Bioinformatics Biology Chromosome Mapping Clinic Computer software Data Data Analyses Development Disease Education Education and Outreach Educational workshop Electronics Faculty Feedback Genetic Goals Health Human Institution Internet Internships Laboratories Mathematics Medicine Methodology Methods Minority Modeling Online Systems Outcome Participant Phenotype Physiological Pilot Projects Population Publishing Recombinant Inbred Strain Recombinants Research Research Infrastructure Research Personnel Resources Role Schedule Science Scientist Slide Solutions Statistical Methods Stress Support System System Training United States National Institutes of Health Visual Whole Organism biological adaptation to stress college data integration design genetic analysis insight interdisciplinary approach meetings member novel outreach programs simulation software development stressor symposium tool

项目摘要

The objectives of this project are to develop and apply statistical methods for the analysis of data collected across multiple phenotypic domains from collaborative cross (CC) strains and their derivatives. These include a diallel cross among the eight founder strains of the CC and a recombinant inbred intercross (RIX) population consisting of the F1 progeny of CC strains. The use of genetically reproducible but outbred RIX animals will enable the integration of data across multiple phenotypic domains in animals with natural levels of heterozygosity. Analysis of this novel cross design will require new methodology development. We will implement analysis tools in the general statistical software package R. Performanceof new methodology will be assessed and validated using simulations and in applications to the experimental data. Integrated analysis of genetic, environmental and physiological variables will provide new insights into the role of stressors on whole organism biology. Specific Aim 1: We will develop and apply statistical methods for genetic mapping analysis of the collaborative cross recombinant inbred strains and their derivatives. The objective of these analyses will be to identify genetic factors that interact with experimentally defined stressors in their effects on mean and covariance of measuredphenotypes. Specific Aim 2: We will develop and apply statistical methods to conduct an integrated analysis of collaborative cross data across multiple phenotypic domains. We will focus on the application of graphical models that capture interactions among these phenotypes using intuitive visual representations.

该项目的目标是开发和应用统计方法以分析收集的数据从合作交叉（CC）菌株及其衍生物中的多个表型领域跨越。这些在CC的八个创始人菌株和重组近交（RIX）中包括一个拨号交叉由CC菌株的F1后代组成的种群。使用遗传性可再现但近似rix的使用动物将使数据在具有自然水平的动物中跨多个表型结构域的整合杂合性。对这种新颖的跨设计的分析将需要新的方法论开发。我们将在一般统计软件软件包中实施分析工具R.新方法的性能将使用模拟和实验数据应用程序进行评估和验证。融合的遗传，环境和生理变量的分析将为您的作用提供新的见解全体生物学的压力源。具体目的1：我们将开发并应用统计方法进行遗传图映射分析协作的交叉重组近交菌株及其衍生物。这些分析的目的将是确定与实验定义的压力源相互作用的遗传因素，以在其对平均值和测得的苯甲型的协方差。特定目的2：我们将开发和应用统计方法来进行综合分析跨多个表型域的协作交叉数据。我们将专注于图形的应用使用直观的视觉表示捕获这些表型之间相互作用的模型。