Statistical Analysis of RIX for Complex Traits

复杂性状 RIX 的统计分析

• 批准号: 6867324
• 负责人: Fei Zou
• 金额: $ 7.23万
• 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 2007-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6867324
• 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

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重新抬头，新的方法和实验杂交正在开发中。调节大脑生物学和行为复杂性的基因以及基因环境相互作用尤其难以识别。为了克服其中一些缺陷，我们将使用最近描述的重组近交杂交（RIX）开发简单而准确的统计方法，用于复杂的数量性状基因座作图。因此，具体目标是 1）为RIX设计开发适当的统计分析工具； 2）从经验和理论上推导出检验统计量的适当显着性阈值；和 3）开发开源软件来实施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解剖的发展，并应在各种研究应用中提高致病基因的精确度和定位，其中最重要的是基因在神经系统疾病中的作用。

项目成果

Assessing the significance of quantitative trait loci in replicable mapping populations.

评估可复制作图群体中数量性状基因座的重要性。

• DOI: 10.1534/genetics.106.059469
• 发表时间: 2006
• 期刊: Genetics
• 影响因子: 3.3
• 作者: Zou,Fei;Xu,Zongli;Vision,Todd
• 通讯作者: Vision,Todd