Detecting Natural Selection for the 1000 Genomes Dataset

检测 1000 个基因组数据集的自然选择

• 批准号: 8077327
• 负责人: Yun-Xin Fu
• 金额: $ 36.63万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-05-28 至 2013-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8077327
• 关键词: Affect; Area; Biological; Data; Data Set; Genetic Polymorphism; Genome; Human; Human Biology; Human Genome; Individual; International; Linkage Disequilibrium; Location; Medical Research; Methods; Mutation; Natural Selections; Pattern; Population; Research Project Grants; Resolution; Sampling; Statistical Methods; Technology; Testing; Uncertainty; Variant; base; design; genetic association; genome-wide; human disease; human population genetics; improved; response; theories; user friendly software

DESCRIPTION (provided by applicant): The international 1000 Genomes Project is designed to generate a new dataset of high resolution variation in the human genome to support various studies on human biology, including human population genetics, association studies and studies of human diseases. The genomes of more than 1000 anonymized individuals from 10 populations will be sequenced using state of the art sequencing technologies. This project is in response to a RFA (RFA-HG-09-002) for analyzing the dataset. It will focus on the area of estimating mutational parameter, characterizing linkage disequilibrium and detecting natural selection on various locations of the human genome. The primary aim is to develop new/or improve existing statistical methods based mostly on coalescent theory taking into consideration uniqueness of the large sample and unavoidable large uncertainties in the sequences. The newly developed or improved methods will be implemented in a user-friendly software package. RELEVANCE: Since one primary aim of the 1000 genomes project is to provide high resolution variation for studying human diseases, a proper understanding, such as through the research of this project, these data will be fundamental for their use for human biological studies, including medical research.

描述（由申请人提供）：国际1000个基因组项目旨在生成人类基因组中高分辨率变化的新数据集，以支持有关人类遗传学，关联，关联研究和人类疾病研究的各种研究。来自10个人群的1000多名匿名个体的基因组将使用最先进的测序技术进行测序。该项目是针对用于分析数据集的RFA（RFA-HG-09-002）。它将着重于估计突变参数的领域，表征连锁不平衡并在人类基因组的各个位置检测自然选择。主要目的是考虑到序列中的大样本和不可避免的大型不确定性，主要基于合并理论的新/或改善现有的统计方法。新开发或改进的方法将在用户友好的软件包中实现。相关性：由于1000个基因组项目的主要目的是为研究人类疾病提供高分辨率变化，例如通过对该项目的研究，这些数据将是用于人类生物学研究（包括医学研究）的基础。

项目成果

Significantly fewer protein functional changing variants for lipid metabolism in Africans than in Europeans.

• DOI: 10.1186/1479-5876-11-67
• 发表时间: 2013-03-20
• 期刊: Journal of translational medicine
• 影响因子: 7.4
• 作者: Xue C;Liu X;Gong Y;Zhao Y;Fu YX
• 通讯作者: Fu YX