RANDOM MODEL METHODOLOGY FOR GENE MAPPING

基因图谱随机模型方法

• 批准号: 6342931
• 负责人: SHIZHONG XU
• 金额: $ 8.02万
• 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/6342931
• 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

拟议的研究将开发一种通用的方法来 数量性状座位(QTL)的定位。大多数方法仍然 需要特殊的繁殖计划，正因为如此，它们 仅适用于严重操纵的情况，如工厂或 动物育种。到目前为止，还没有通用的方法来定位QTL 在任意繁殖的种群中(例如，在 保护遗传计划)或在不能 容易控制(就像在许多人体研究中一样)。这项建议 解决了这一不足，并提供了一种通用的方法，即 不仅适用于任意繁殖的种群，而且两者都适用 统计上更强大，推理空间更广。 具体地说，本研究将发展随机模型方法。 作为QTL定位的一般方法，方法如下： 1)。发展了基于IBD的随机模型方法的理论 进行QTL分析。IBD是等位基因完全相同的比例- 附带血统； 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)。Gibbs抽样算法的研究与比较 统计功率和估计误差(或置信度区间) 全极大似然法； 4)。将随机模型的功率和效率与 通过仿真研究确定模型； 5)。基于IBD的随机模型方法在QTL中的扩展 对序号特征(例如，疾病特征)的映射； 6)。发布一组计算机程序来实现随机 模型QTL定位方法