Dissecting the Genomic Etiology of non-Mendelian Early-Onset Alzheimer Disease and Related Phenotypes

剖析非孟德尔早发性阿尔茨海默病的基因组病因学及相关表型

• 批准号: 9811242
• 负责人: Gary Wayne Beecham
• 金额: $ 404.84万
• 依托单位: UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-15 至 2024-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9811242
• 关键词: Accounting; Address; Affect; Age; Age of Onset; Alzheimer' s Disease; Alzheimer' s disease risk; Blood Vessels; Cardiovascular Diseases; Cardiovascular system; Caribbean Hispanic; Categories; Cognitive; Collection; Comorbidity; Data; Data Set; Dementia; Development; Disease; Elderly; Ethnic group; Etiology; Failure; Family; Frequencies; Genes; Genetic; Genetic Diseases; Genetic Variation; Genome; Genomic approach; Genomics; Genotype; Heritability; Impairment; Individual; Infrastructure; Inheritance Patterns; Investigation; Joints; Language; Light; Link; Memory; Mental Depression; Methods; Minority; Molecular; Mutation; Neurocognitive; Neuropsychology; Not Hispanic or Latino; Participant; Pathway Analysis; Pathway interactions; Phenotype; Population; Presenile Alzheimer Dementia; Protocols documentation; Race; Research; Resources; Risk; Role; Sampling; Symptoms; Technology; Universities; Variant; Visuospatial; Washington; admixture mapping; analytical method; base; cognitive control; cohort; early onset; endophenotype; experimental study; genetic architecture; genetic linkage analysis; genetic risk factor; genetic variant; genome sequencing; genomic data; improved; member; neuropsychiatry; new therapeutic target; novel; novel therapeutics; phenome; presenilin-1; presenilin-2; risk variant; segregation; sex; trait; vascular risk factor; whole genome

PROJECT SUMMARY Genomic studies of Alzheimer's disease (AD) have primarily focused on non-Hispanic White (NHW) participants affected by the late-onset form of the disease (LOAD; onset age: >65), or the study of early onset AD (EOAD; onset age <=65) cases from families showing Mendelian inheritance patterns associated with mutations in the APP, PSEN1 and PSEN2 genes. However, mutations in these three genes explain ~10% of EOAD cases. There are no large-scale efforts to collect and study EOAD cases not explained by these genes, despite the fact that this unexplained EOAD category accounts for ~90% of cases. The few smaller studies that have been conducted suggest that the genetic architecture of EOAD overlaps with the late-onset form only partially. Thus, studying EOAD in subjects without APP, PSEN1 and PSEN2 mutations is a critical gap that provides a unique opportunity for discovering novel therapeutic targets and molecular pathways. To address this issue we aim to identify additional EOAD-associated variants through a large-scale whole- genome sequencing (WGS) study of unexplained EOAD. We will include cases from several well-established AD cohorts including the Resource for Early-onset Alzheimer Disease Research (READR), the Knight-ADRC at Washington University, the Alzheimer's Disease Genetics Consortium (ADGC), and others. Generating and harmonizing a dataset of 200 non-Hispanic White (NHW) and Caribbean Hispanic (CH) multiplex EOAD families, over 4,000 EOAD singletons and over 13,000 unrelated, cognitive controls, all with WGS, this project will yield the largest EOAD genomics dataset to-date, improving statistical power for variant identification and allowing us to assess the impact of specific factors such as APOE genotype, vascular risk factors, and neuropsychiatric comorbidities. The inclusion of a large set of CH families and singletons will allow the examination of EOAD risk in a significantly understudied but fast-growing minority population. Analyses will comprise both linkage and association-based approaches, analyses of polygenic and ancestry effects, and a thorough examination of neurocognitive, neuropsychiatric and cardiovascular endophenotypes. We expect that when successfully completed, this study will point to novel genetic contributors to EOAD, shed light on the mechanisms of AD and facilitate the development of novel therapeutics. Sampling, phenotyping and sequencing analysis protocols will be complementary to and compatible with the existing LOAD genomics resources, such as the Alzheimer Disease Sequencing Project (ADSP) and related studies. This phenotypic and genomic consistency, together with the use of existing AD infrastructure (NIAGADS), allows for immediate integration with the leading efforts on LOAD, enabling rapid large-scale investigation of a variety of additional critical AD genomics hypotheses.

项目总结