GENETIC MANAGEMENT OF CHIMPANZEES IN BIOMEDICAL RESEARCH

黑猩猩是生物医学研究的重要动物模型 研究项目。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 通过改善潜在的遗传特性， 实验动物这个项目的重点是描述黑猩猩 在三个殖民地（西南生物医学研究基金会，灵长类动物 亚利桑那州基金会和得克萨斯大学MD安德森科学园） 免疫功能相关变量的遗传成分， 传染病研究。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 传染病研究方案的程序， 黑猩猩具体来说，15个免疫学特征和大约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 技术将被用来确定遗传成分的每一个 免疫学特征这些统计方法允许确定 观察到的变异是否是由于多个基因的小影响， 少数基因大的影响，或一个单一的主基因与多基因 背景性状的连锁分析结合 候选标记数据将用于定位遗传因子 在前一步骤中检测到的染色体的特定区域。 关于免疫功能变量的遗传成分的信息将被 纳入动物记录中，供将来用于实验动物 甄选程序。该项目将扩大以研究为导向的遗传 管理方法，并将扩大我们的知识，遗传 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.