INDICES FOR MONITORING GENOME MAPPING PROGRESS

监测基因组作图进展的指数

• 批准号: 3752728
• 负责人: J C STEPHENS
• 金额: --
• 依托单位: DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/3752728
• 关键词: analytical method; animal genetic material tag; animal population genetics; biochemical evolution; chromosomes; computer program /software; cytogenetics; genetic mapping; genetic polymorphism; genome; human data; human genetic material tag; human population genetics; linkage mapping; major histocompatibility complex; species difference; statistics /biometry

Continued theoretical studies in population genetics, molecular evolution, and genome mapping have led to new analytical methods and the development of statistics and computer programs. In population genetics and molecular evolution, the focus has been on recombination and linkage disequilibrium. The theoretical studies are the basis for our evolutionary analysis and phylogenetic reconstruction of multiple alleles sampled from closely related species. We are applying these analyses to the major histocompatibility complex, where these issues are critical due to the extremely high levels of polymorphism, some of which appears to pre-date many major speciation events. Our studies of genome mapping have concentrated on comparative mapping and the human cytogenetic map. In comparative mapping, we have devised analytical methods of comparison that are useful for prediction of relative map locations between species and for contrasting the relative evolution among chromosomes and among species. These have been applied to existing data sets for humans and mice, as well as a range of 20 other mammals. Also, we are currently working on organizing comparative mapping data in a way that will expedite comparative mapping. Our work with the human cytogenetic map continues in three overlapping areas. Computer programs for representing and manipulating cytogenetic maps will be augmented by analytical methods for improving the actual data contained in the maps. We will extend our earlier work on using gene order information from linkage maps to refine cytogenetic localizations, and apply it to relevant data sets.

继续进行群体遗传学、分子生物学等方面的理论研究 进化和基因组作图带来了新的分析方法和 统计和计算机程序的开发。 在群体遗传学中 和分子进化，重点是重组和连接 不平衡。 理论研究是我们的基础 多个等位基因的进化分析和系统发育重建 从密切相关的物种中取样。 我们正在将这些分析应用于 主要组织相容性复合体，这些问题至关重要 到极高水平的多态性，其中一些似乎 早于许多重大的物种形成事件。 我们的基因组作图研究 专注于比较图谱和人类细胞遗传学图谱。 在比较绘图中，我们设计了比较分析方法 对于预测物种之间的相对地图位置很有用 以及对比染色体之间和染色体之间的相对进化 物种。 这些已应用于人类的现有数据集 小鼠以及其他 20 种哺乳动物。 另外，我们目前 致力于以一种能够组织比较测绘数据的方式 加快比较绘图。 我们在人类细胞遗传学图谱方面的工作 继续在三个重叠的领域。 用于表示的计算机程序 分析方法将增强细胞遗传学图谱的操作 用于改进地图中包含的实际数据。 我们将延长我们的 早期关于使用连锁图谱中的基因顺序信息进行精炼的工作 细胞遗传学定位，并将其应用于相关数据集。