APPROACHES TO GENE MAPPING DEVELOPMENT AND APPLICATIONS

基因图谱开发和应用的方法

• 批准号: 5201543
• 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/5201543
• 关键词: animal genetic material tag; computer graphics /printing; disease /disorder model; family genetics; genetic disorder; genetic mapping; genetic markers; human genetic material tag; human population genetics; linkage mapping; method development; phenotype; statistics /biometry

The principal focus of this work has been on developing novel gene mapping strategies that can be used to map biologically important traits that are refractory to conventional techniques. Many biological traits, such as disease susceptibilities, have underlying genetic components that are difficult to identify, let alone to map, by conventional means. For instance, disease-resistant genes segregating in a population will only be detectable in families whose members have been exposed to the causative agent. While such studies can be readily achieved in experimental animal models, the difficulty of collecting appropriate human families is sometimes formidable. As an alternative to conventional linkage analysis in human pedigrees, we have developed and implemented a population-based approach: mapping by admixture linkage disequilibrium (MALD). A second focus of this work is the synthesis and analysis of genetic maps. Gene mapping data is intrinsically graphical in that it represents localization of a gene either to an interval demarcated by some coordinates, often other loci, or to a point that is in some sense a "best estimate" of where the gene belongs. Such mapping data often require manipulation, both graphical and statistical. These efforts concentrate on the development of computer algorithms to logically synthesize and analyze these maps, including the facilitation of comparative mapping research.

这项工作的主要重点是开发新的基因， 可用于绘制生物学重要性状图谱的作图策略 这是传统技术难以解决的问题。 很多生物特征， 例如疾病易感性，具有潜在遗传成分， 很难通过传统手段识别，更不用说绘制地图了。 为 例如，抗病基因在种群中分离， 在其成员暴露于 病原体 虽然这些研究可以很容易地实现， 实验动物模型，收集适当的困难 人类的家庭有时是可怕的。 作为替代 传统的连锁分析在人类谱系，我们已经开发和 实施了基于人口的方法：通过混合联系绘制地图 不平衡（MALD）。 这项工作的第二个重点是综合和 基因图谱分析 基因图谱数据本质上是图形化的 因为它代表了基因的定位， 由一些坐标，通常是其他的轨迹，或到一个点， 在某种意义上，这是对基因归属的“最佳估计”。 这样的映射 数据往往需要处理，包括图形处理和统计处理。 这些 努力集中在计算机算法的开发上， 逻辑地综合和分析这些地图，包括促进 比较地图研究。