Population Genomics of Geographically and Ethnically Diverse Africans

地理和种族多样化非洲人的人口基因组学

• 批准号: 8255805
• 负责人: Joseph L. Lachance
• 金额: $ 4.84万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-12-15 至 2014-12-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8255805
• 关键词: 5' Untranslated Regions; Acute; Address; Admixture; Africa; African; Alleles; Cataloging; Catalogs; Climate; Computer Simulation; Data; Data Set; Demography; Diabetes Mellitus; Diet; Disease; Disease Association; Environment; Exons; Gene Frequency; Genes; Genetic; Genetic Medicine; Genetic Variation; Genome; Genomics; Genotype; Goals; Haplotypes; Health; Heredity; Human; Human Genetics; Human Genome; Hypertension; Individual; Introns; Knowledge; Life; Linkage Disequilibrium; Methods; Natural Selections; Partner in relationship; Pattern; Phase; Play; Population; Population Genetics; Population Sizes; Public Health; Reading; Recording of previous events; Relative (related person); Research Project Grants; Resources; Role; Running; Site; Structure; Technology; Testing; Time; Training; Variant; Work; cost; design; disorder risk; expectation; experience; genetic analysis; genetic variant; genome sequencing; genome wide association study; genome-wide; human population genetics; mathematical model; migration; next generation; novel; post-doctoral training; statistics; theories; trait

DESCRIPTION (provided by applicant): The proposed research project involves detailed characterization of whole genome variation in understudied ethnically and geographically diverse Africans living in distinct environments and with distinct diets. The dataset represents the most detailed catalog of genomic variation in under-represented African populations created to date. Population genetic analyses will enable us to identify potential functional variants that play a role in adaptation to diverse environments and to infer the demographic history of populations. Despite immense amounts of genetic variation and significant public health challenges, African human genetics has largely been understudied. It is important that recent advances in genomics and genetic medicine do not ignore Africa populations. Using high-coverage whole genome sequencing we will analyze whole genome sequences of multiple individuals in multiple African populations in order to infer both recent and ancient demographic history in Africa and to identify targets of natural selection in the human genome. Existing statistical population genetics approaches will be applied, and novel theoretical approaches will be developed to analyze population genomics datasets using a combination of computer simulations and mathematical modeling. Whole genome sequences will also be combined with data generated from genotyping arrays to assess the impact of SNP ascertainment bias on diverse African populations. Genomic variation present in African populations living in diverse climates and with diverse diets (agriculturalists, pastoralists and hunter- gatherers) is relevant o diseases of modernity, such as hypertension and diabetes. In addition, genetic variation found will be useful for genome-wide association studies of African populations. This proposed study is also highly relevant to the NIH's Human Heredity and Health in Africa Project (H3Africa), and this research project will contribute substantially to postdoctoral training. Finally, analytic approaches developed for African populations will also be useful to other studies that utilize next-generation sequencing technology. PUBLIC HEALTH RELEVANCE: This project is highly relevant to public health because African populations have substantial disease risks and African population genetics has largely been understudied. Sequencing the genomes of ethnically diverse African populations will greatly expand our knowledge of human genetic diversity and help identify genes of adaptive significance. The results of this study will be a powerful resource for understanding how genetic and environmental variation contributes to variable heritable traits and for designing and interpreting disease association studies.

描述（由申请人提供）：拟议的研究项目涉及详细描述生活在不同环境和不同饮食的种族和地理多样性非洲人的全基因组变异。该数据集代表了迄今为止创建的代表性不足的非洲人群中最详细的基因组变异目录。种群遗传分析将使我们能够识别在适应不同环境中发挥作用的潜在功能变异，并推断种群的人口统计学历史。尽管存在大量的遗传变异和重大的公共卫生挑战，但非洲人类遗传学在很大程度上没有得到充分研究。重要的是，基因组学和遗传医学的最新进展不应忽视非洲人口。使用高覆盖率全基因组测序，我们将分析多个非洲人群中多个个体的全基因组序列，以推断非洲近代和古代的人口历史，并确定人类基因组中自然选择的目标。现有的统计群体遗传学方法将被应用，并将开发新的理论方法来分析人口基因组数据集，使用计算机模拟和数学建模相结合。全基因组序列也将与基因分型阵列产生的数据相结合，以评估SNP确定偏倚对不同非洲人群的影响。生活在不同气候和不同饮食的非洲人口（农业者、牧民和狩猎采集者）中存在的基因组变异与现代疾病（如高血压和糖尿病）有关。此外，发现的遗传变异将有助于非洲人群的全基因组关联研究。这项拟议的研究也与NIH的非洲人类遗传和健康项目（H3Africa）高度相关，该研究项目将为博士后培训做出重大贡献。最后，为非洲人群开发的分析方法也将对利用下一代测序技术的其他研究有用。 公共卫生相关性：该项目与公共卫生高度相关，因为非洲人口有很大的疾病风险，非洲人口遗传学在很大程度上没有得到充分研究。对种族多样性的非洲人群的基因组进行测序将大大扩展我们对人类遗传多样性的了解，并有助于识别具有适应意义的基因。这项研究的结果将是一个强大的资源，了解遗传和环境变异如何有助于可变的遗传性状，并设计和解释疾病关联研究。