项目 1：不同血统群体中的基因发现-猫眼课题宝

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

项目类别：

财政年份：

2022

资助国家：

美国

项目状态：

未结题

起止时间：

2022-07-01 至 2027-06-30

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&apos s Disease Alzheimer&apos s disease model Alzheimer&apos 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

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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.

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