An evolutionary framework to elucidate and interpret the genetic architecture of complex traits in diverse populations - diversity supplement

阐明和解释不同群体复杂性状遗传结构的进化框架 - 多样性补充

• 批准号: 10539156
• 负责人: Charleston Chiang
• 金额: $ 1.28万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10539156
• 关键词: Acute Lymphocytic Leukemia; Address; Admixture; Alleles; American; Area; Autoimmune; Cells; Childhood Acute Lymphocytic Leukemia; Childhood Leukemia; Collaborations; Communicable Diseases; Communities; Complex; Data; Data Analyses; Development; Disease; Doctor of Philosophy; Epidemiology; Etiology; European; Event; Exhibits; Frequencies; Future; Genealogical Tree; Genetic; Genetic Research; Genomics; Goals; Grant; Graph; Heritability; Human; Immune; Immunity; Immunologics; Individual; Inherited; Laboratories; Latino; Latino Population; Lead; Link; Lupus; MLL gene; Malignant Neoplasms; Maps; Medical Genetics; Meta-Analysis; Methods; Modeling; Modernization; Native American Ancestry; Native Americans; Native Hawaiian; Natural Selections; Non-Insulin-Dependent Diabetes Mellitus; Obesity; Parents; Performance; Persons; Phenotype; Phylogeny; Polynesian; Population; Population Genetics; Population Heterogeneity; Positioning Attribute; Recording of previous events; Research; Research Project Grants; Resources; Risk; Signal Transduction; Testing; Thinking; Training; Trees; Variant; base; career; clinical practice; disorder risk; epidemiology study; ethnic minority; experience; gene environment interaction; genetic analysis; genetic architecture; genetic epidemiology; genetic evolution; genetic information; genome wide association study; health disparity; improved; method development; multi-ethnic; parent grant; pathogen; personalized care; phenome; pleiotropism; postnatal; prenatal; pressure; programs; risk variant; trait

Project Summary / Abstract (from Parent Grant) Both environmental and genetic factors contribute to disparity in disease risks between populations. The genetic causes of differences between populations are intimately tied to the evolutionary histories of these populations. Therefore, a better incorporation of evolutionary thinking will help explain the disparity among diverse populations today and improve clinical practices and personalized care. To this end, the Chiang Lab will continue to develop an integrative framework combining evolutionary population genetics with genetic epidemiology in humans, utilizing both empirical data analysis and quantitative methods development to better probe into the genetic architecture of complex traits within and between populations. This integrative framework consists of three main foci: (1) the genetic architecture of human complex traits, (2) the demographic history, and (3) the adaptive history of human populations. Research in the first topic informs the genetic consequences on our phenome today, while research in the latter two explains the evolutionary mechanisms through which variation arise within and between human populations. More importantly, research from the Chiang Lab focuses not solely on these topics, but also leverages information on one to inform the other. Within this paradigm, the Chiang Lab will focus on the following three goals over the next five years. First, we will execute a comprehensive genetic research program to address the health disparities in Native Hawaiians. Specifically, we will generate the genomic resources necessary to accelerate genetic research in this population. We will then characterize the demographic history of the Native Hawaiians to illustrate the benefit of conducting genomic studies in understudied populations, perform large-scale meta-analysis in Polynesian populations to identify population- specific alleles associated with diseases prevalent in Native Hawaiians, and engage the Native Hawaiian community for future partnership and collaborations. Second, we will investigate the evolutionary etiology for elevated risk in present-day populations. Using Latino populations as an example, we will examine if the elevated risk in childhood leukemia in this population is due to the selective pressure introduced during European contact in the 16th century. Third, we will revolutionize the current concept of genetic relatedness by introducing a new genetic similarity matrix among individuals that incorporates information from the genealogical tree of the population. This matrix will improve the performance of a number of statistical genetic applications, such as heritability estimation and phenotype imputation. While we used Native Hawaiians and Latinos as example populations in this proposal, this integrated framework of genetic epidemiology and evolution will also benefit future research in other understudied ethnic minorities. We are uniquely positioned to achieve these goals because of our expertise in combining population genetic principles with medical genetic analysis and statistical genetic development.

项目摘要 /摘要（来自父母赠款） 环境和遗传因素都导致人口之间疾病风险的差异。遗传 人群之间差异的原因与这些人群的进化历史密切相关。 因此，更好地纳入进化思维将有助于解释不同人群之间的差异 今天并改善临床实践和个性化护理。为此，清学实验室将继续发展 将进化人群遗传学与人类遗传流行病学相结合的综合框架， 利用经验数据分析和定量方法发展来更好地探测遗传 种群内部和人群之间的复杂特征的结构。这个综合框架由三个主要 焦点：（1）人类复杂性状的遗传结构，（2）人口统计记录和（3）自适应 人口的历史。第一个主题中的研究为我们的现象带来了遗传后果 如今，尽管后两个研究解释了在内部发生变化的进化机制 以及人口之间。更重要的是，Chiang Lab的研究不仅关注这些 主题，但也利用一个信息来告知另一个。在这个范式中，清实验室将集中精力 在接下来的五年中，以下三个进球。首先，我们将执行全面的遗传研究 解决夏威夷原住民健康差异的计划。具体而言，我们将生成基因组 加速该人群的遗传研究所需的资源。然后，我们将表征 夏威夷原住民的人口统计历史说明进行基因组研究的好处 研究的人群，对波利尼西亚人群进行大规模荟萃分析，以识别人口 与夏威夷原住民的疾病相关的特定等位基因，并与夏威夷当地人接触 社区未来的合作伙伴关系和合作。其次，我们将研究用于进化的病因 当今人口的风险升高。以拉丁裔种群为例，我们将检查是否升高 该人群中儿童白血病的风险是由于欧洲接触期间引入的选择性压力 在16世纪。第三，我们将通过引入新的遗传相关性概念来彻底改变 遗传相似性矩阵中的个体中结合了来自谱系树的信息 人口。该矩阵将改善许多统计遗传应用的性能，例如 遗传力估计和表型归纳。当我们以夏威夷原住民和拉丁裔为例时 在该提案中的人群中，这种遗传流行病学和进化的综合框架也将受益 在其他研究少数族裔的未来研究。我们在实现这些目标方面处于独特状态 因为我们在将种群遗传原理与医学遗传分析和统计的专业知识 遗传发展。