RANDOM MODEL METHODOLOGY FOR GENE MAPPING

基因图谱随机模型方法

• 批准号: 2857275
• 负责人: SHIZHONG XU
• 金额: $ 7.77万
• 依托单位: UNIVERSITY OF CALIFORNIA RIVERSIDE
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-01-01 至 2001-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2857275
• 关键词: computer program /software; computer simulation; genetic mapping; genetic models; mathematical model; method development; model design /development; quantitative trait loci

The proposed research will develop a general methodology for identification of quantitative trait loci (QTLs). Most methods still require special breeding programs, and because of this, they are applicable only in heavily manipulated situations such as plant or animal breeding. As-of-yet, there is no general method to map QTLs in either arbitrarily bred populations (for example, those in conservation genetic programs) or in populations that cannot be readily controlled (as in many human studies). This proposal addresses this deficiency and presents a general methodology that is not only applicable to arbitrarily bred populations, but is both statistically more powerful and has a wider inference space. Specifically, this research will develop the random model approach as a general methodology for QTL mapping by: 1). Developing the theory of an IBD-based random model approach for QTL analysis. IBD is the proportion of alleles that are identical- by-descent; 2). Developing a full maximum likelihood method to implement the random model methodology b) incorporating distributions of IBD matrices; 3). Investigating the Gibbs sampling algorithm and comparing its statistical powers and estimation errors (or confidence intervals) with the full maximum likelihood method; 4). Comparing powers and efficiencies of the random model with the fixed model through simulation studies; 5). Extending the IBD-based random model approach to QTL mapping for ordinal characters (e.g., disease traits); 6). Releasing a set of computer programs that implement the random model QTL mapping method

拟议的研究将制定一个通用方法， 数量性状基因座（QTL）的鉴定。大多数方法仍然 需要特殊的育种计划，正因为如此，它们 仅适用于严重操纵的情况，如工厂或 动物繁殖目前还没有通用的QTL定位方法 在任意繁殖的种群中（例如， 保护基因计划）或在无法 易于控制（如在许多人类研究中）。这项建议 解决了这一缺陷，并提出了一个一般的方法， 不仅适用于任意繁殖的种群， 统计上更强大，具有更宽的推理空间。 具体而言，本研究将发展随机模型方法 作为QTL作图的一般方法，通过： 1）。发展基于IBD的随机模型方法的理论 QTL分析。IBD是相同等位基因的比例- 旁系血统; 2）。开发一个完整的最大似然方法来实现 随机模型方法B）纳入IBD的分布 矩阵; 3）。研究吉布斯抽样算法并比较其 统计功效和估计误差（或置信区间）， 完全最大似然法; 4）。比较随机模型与 通过仿真研究确定模型; 5）。基于IBD的QTL随机模型方法的扩展 序数字符的映射（例如，疾病特征）; 6）。发布了一套计算机程序， 模型QTL定位法