ANCIENT GENETIC VARIATION OF HUMAN POPULATIONS

这是一个香农奖提供部分支持的研究 项目不属于指定机构的资助范围，但 在优秀的边缘。香农奖旨在提供 支持测试方法的可行性;支持进一步测试 和完善研究技术;对现有的 数据集;或进行离散项目，以证明PI 研究能力或导致额外的重量已经优秀 应用程序.下面的应用程序是从原始文件 由主要经销商提交。 这项研究的目的是确定 人类遗传结构的起源 变化量最近的研究表明，许多遗传变异 在人类的核基因中发生的 在200万到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， 核基因的研究并不适合于时间的问题， 古代人口狭窄。拟议的研究将填补一个空白， 存在于线粒体DNA序列研究之间的当前数据库中 和核基因等位基因研究。根据拟议的研究， 将从30个个体中收集比较DNA序列数据， 四个基因位点。这些数据可以用来确定 在20万年前就出现了。 这些信息是当前关于现代文明起源的辩论的核心。 人类 比较DNA序列数据也可用于建立 为未来研究与适应相关的基因座提供了一个基线 在过去的200万年里。在这段时间里，人类经历了 相当大的形态进化。预测是， 与形态适应性相关的不同模式 变异的结果是有利的基因搭便车 突变。拟议的研究将评估检测能力， 通过集中在随机选择的一组基因座上进行遗传搭便车。这 这些知识可以用于以后研究基因座， 与现代H.智人

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