ANCIENT GENETIC VARIATION OF HUMAN POPULATIONS

这是香农奖，为这项研究提供部分支持 项目低于指定研究所的资助范围，但 都在最优秀的边缘。香农奖旨在提供 支持测试该方法的可行性；开发进一步的测试 改进研究方法；对可用的数据进行二次分析 数据集；或执行可演示PI的离散项目 研究能力或导致额外的重量已经有价值的 申请。以下应用程序取自原始文档 由首席调查员提交。 拟议研究的目的是确定 人类基因中出现的群体遗传结构的起源 变种。最近的研究表明，许多遗传变异 发生在人类群体中的核基因之间的时间 从200万年前到50万年前。这个年龄的变化是 在线粒体中没有发现，而传统的基于等位基因的方法 对核基因的研究不太适合于关于时间的问题 古老的人口限制。拟议中的研究将填补这一空白 存在于当前数据库中的线粒体DNA序列研究之间 和核基因等位基因研究。根据这项拟议的研究， 比较DNA序列数据将从30个人中收集，用于 四个遗传位点中的每一个。这些数据可以用来确定 目前的人口结构是在20万年前之前出现的。 这一信息是当前关于现代人类起源的争论的核心 人类。比较DNA序列数据也可以用来建立 未来与适应相关的基因座研究的基线 在过去的两百万年里。在那段时间里，人类经历了 相当大的形态进化。预测的结果是， 与形态适应相关联会显示出不同的模式 变异的原因是基因搭便车的优势 突变。拟议的研究将评估检测到 通过关注随机选择的一组基因座来进行基因搭便车。这 这些知识可以用于以后对候选基因座的研究 与向现代智人过渡相关的适应

THIS IS A SHANNON AWARD PROVIDING PARTIAL SUPPORT FOR THE RESEARCH PROJECTS THAT FALL SHORT OF THE ASSIGNED INSTITUTE'S FUNDING RANGE BUT ARE IN THE MARGIN OF EXCELLENCE. THE SHANNON AWARD IS INTENDED TO PROVIDE SUPPORT TO TEST THE FEASIBILITY OF THE APPROACH; DEVELOP FURTHER TESTS AND REFINE RESEARCH TECHNIQUES; PERFORM SECONDARY ANALYSIS OF AVAILABLE DATA SETS; OR CONDUCT DISCRETE PROJECTS THAT CAN DEMONSTRATE THE PI'S RESEARCH CAPABILITIES OR LEAD ADDITIONAL WEIGHT TO AN ALREADY MERITORIOUS APPLICATION. THE APPLICATION BELOW IS TAKEN FROM THE ORIGINAL DOCUMENT SUBMITTED BY THE PRINCIPAL INVESTIGATOR. The purpose of the proposed research is to determine the time of the origin of the population genetic structure that occurs in human genetic variation. Recent studies have shown that much of the genetic variation that occurs among nuclear genes in human populations arose in the time period between 2,000,000 and 500,000 years ago. Variation of this age is not found in mitochondria, and traditional allele based methods for the study of nuclear genes are not well suited to questions on the timing of ancient population stricture. The proposed research will fill a gap that exists in the current database between mitochondrial DNA sequence studies and nuclear gene allelic studies. Under the proposed research, comparative DNA sequence data will be collected from 30 individuals for each of four genetic loci. These data can be used to determine how much of the current population structure arose prior to 200,000 years ago. This information is central to current debates on the origins of modern humans. The comparative DNA sequence data can also be used to establish a baseline for the future study of loci associated with adaptations during the past 2,000,000 years. In that time, humans have undergone considerable morphological evolution. The prediction is that loci associated with morphological adaptations will reveal different patterns of variation as a result of genetic hitchhiking of advantageous mutations. The proposed research will assess the capacity to detect genetic hitchhiking by focusing on a random selected set of loci. This knowledge can be used for later study of loci that are candidates for adaptations associated with the transition to modern H. sapiens