Project 1: Genetic Discovery Within Diverse Ancestry Cohorts

项目 1：不同血统群体中的基因发现

• 批准号: 10654539
• 负责人: William S Bush
• 金额: $ 67.53万
• 依托单位: UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10654539
• 关键词: Accounting; Address; African; African American; African American population; African Caribbean; Aging; Alleles; Alzheimer' s Disease; Alzheimer' s disease model; Alzheimer' s disease risk; American; Biological; Biological Markers; Caribbean Hispanic; Cells; Chromosomes; Code; Communities; Complex; Custom; Data; Data Collection; Disparity; Economics; Enrollment; Epigenetic Process; Ethnic Population; Genes; Genetic; Genetic Variation; Genomics; Genotype; Goals; Health Policy; Heritability; Hispanic; Latinx; Latinx population; Localized Disease; Methods; Modeling; Molecular; Neurodegenerative Disorders; Not Hispanic or Latino; Participant; Pathway Analysis; Pathway interactions; Phenotype; Population; Population Heterogeneity; Public Health; Regulatory Element; Resources; Risk; Risk Factors; Sample Size; Sampling; Site; Standardization; Statistical Data Interpretation; Testing; Tissues; Trans-Omics for Precision Medicine; Variant; adjudication; clinical practice; cohort; data management; genetic architecture; genetic risk factor; genetic testing; genetic variant; genome wide association study; genome-wide; health disparity; improved; multi-ethnic; novel; outreach; predictive modeling; racial population; recruit; social; transcriptome

PROJECT SUMMARY The genomics of Alzheimer Disease is complex and evidence to date suggests that different ancestry groups have distinct genetic factors that influence risk. In this project, we will perform multiple statistical analyses of generated genetic data in African American, African, and Hispanic/Latinx populations to identify genetic factors that are distinct within those groups. We will develop and apply new methods for identifying regulatory elements and leveraging admixed chromosomes that are features of these populations. Finally, we will summarize results through polygenic and pathway analyses to identify specific molecular mechanisms that harbor genetic variants influence Alzheimer risk in each of these populations.

项目摘要 阿尔茨海默氏病的基因组学很复杂，迄今为止的证据表明不同的祖先组 具有影响风险的不同遗传因素。在这个项目中，我们将执行多个统计分析 在非洲裔美国人，非洲和西班牙裔/拉丁裔种群中产生遗传数据，以识别遗传因素 在这些群体中是不同的。我们将开发并应用新方法来识别监管元素 并利用这些种群特征的混合染色体。最后，我们将总结结果 通过多基因和途径分析，以确定具有遗传变异的特定分子机制 在每个人群中影响阿尔茨海默氏症风险。