GENETIC MANAGEMENT OF CHIMPANZEES IN BIOMEDICAL RESEARCH

黑猩猩是广泛应用于生物医学的重要动物模型 研究项目。通过对黑猩猩群体的有效管理 以研究为导向的遗传管理技术可以提高 通过改进潜力的遗传特征来获取资源 实验动物。这个项目关注的是黑猩猩的特征。 在三个殖民地(西南生物医学研究基金会，灵长类 亚利桑那州基金会和德克萨斯大学MD安德森科技园) 对于与免疫功能变量相关的遗传成分 传染病研究。所考虑的免疫表型 包括许多传染病实验结果变量 和协变量，以及这个项目产生的遗传信息 将用于提高实验动物选择的效率 利用传染病研究方案的程序 黑猩猩。具体地说，15个免疫学性状和大约75个 将对所有候选基因座的遗传标记进行评估 研究中的黑猩猩。数量遗传和分离分析 技术将被用来确定每一个人的遗传成分 免疫学特征。这些统计方法允许确定 无论观察到的差异是由于多个影响较小的基因所致， 影响大的基因很少，或单个主效基因具有多基因 背景资料。性状的连锁分析结合遗传算法 候选标记数据将被用来定位遗传因素 在上一步中检测到染色体的特定区域。 关于免疫功能变量的遗传成分的信息将是 纳入动物记录，以供将来在实验动物中使用 选拔程序。该项目将扩大以研究为导向的遗传 管理方法，并将扩展我们对遗传的知识 正常免疫功能的决定因素。

Chimpanzees are important animal models for a broad range of biomedical research programs. The efficient management of chimpanzee colonies through research-oriented genetic management techniques can enhance the value of the resource by improving the genetic characterization of potential experimental animals. This project focuses on characterizing chimpanzees at three colonies (Southwest Foundation for Biomedical Research, Primate Foundation of Arizona, and University of Texas MD Anderson Science Park) for the genetic components of immune function variables of relevance to infectious disease research. The immunological phenotypes considered include many that are infectious disease experimental outcome variables and covariates, and the genetic information resulting from this project will be used to increase the efficiency of experimental animal selection procedures for infectious disease research protocols utilizing chimpanzees. Specifically, 15 immunological traits and approximately 75 genetic markers at candidate loci will be assessed for all of the chimpanzees in the study. Quantitative genetic and segregation analysis techniques win be used to determine the genetic components to each of the immunological traits. These statistical approaches allow determination of whether observed variation is due to multiple genes with small effects, a few genes with large effects, or a single major gene with a polygenic background. Linkage analysis of the traits in combination with the candidate marker data will then be used to localize genetic factors detected in the previous step to specific regions of the chromosomes. Information on the genetic components of immune function variables will be incorporated into animal records for future use in experimental animal selection procedures. This project will expand research-oriented genetic management approaches and will extend our knowledge of the genetic determinants of normal immune function.