Statistical Analysis of RIX for Complex Traits

复杂性状 RIX 的统计分析

• 批准号: 6758429
• 负责人: Fei Zou
• 金额: $ 7.16万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至 2006-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6758429
• 关键词: biotechnology; computer human interaction; computer program /software; computer simulation; computer system design /evaluation; gene environment interaction; genetic mapping; inbreeding; mathematical model; method development; quantitative trait loci; statistics /biometry; biotechnology; computer human interaction; computer program /software; computer simulation; computer system design /evaluation; gene environment interaction; genetic mapping; inbreeding; mathematical model; method development; quantitative trait loci; statistics /biometry

DESCRIPTION (provided by applicant): With the recent resurgence of an emphasis on complex traits, new approaches and experimental crosses are being developed. Genes modulating the complexities of brain biology and behavioral, as well as gene environment interactions have been particularly difficult to identify. In order to overcome some of these deficiencies, we will develop simple yet accurate statistical methods for complex quantitative trait loci mapping using recently described recombinant inbred intercrosses (RIX). Thus the specific aims are to 1) Develop appropriate statistical analysis tools for the RIX design; 2) Derive appropriate significance thresholds of the test statistics empirically and theoretically; and 3) Develop open source software to implement RIX methods. The approaches we describe in this small project will greatly aid developments in complex trait dissection and should lead to greater precision and more accurate localization of the causative genes in a wide variety of research applications, not the least of which is the role of genes in neurological diseases.

描述（由申请人提供）： 随着最近对复杂性状的重视，正在开发新的方法和实验十字架。调节脑生物学和行为的复杂性以及基因环境相互作用的基因特别困难。为了克服其中一些缺陷，我们将使用最近描述的重组近交近交叉（RIX）开发简单而准确的统计方法，用于复杂的定量性状基因座映射。因此，具体的目的是 1）为RIX设计开发适当的统计分析工具； 2）从经验和理论上得出测试统计量的适当意义阈值；和 3）开发开源软件以实现RIX方法。 我们在这个小项目中描述的方法将极大地帮助复杂性状的解剖学发展，并应导致在各种研究应用中对病因基因的更精确和更准确的定位，而不是其中的基因在神经系统疾病中的作用。