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）：

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