Genetic and neuroanatomical basis of neuropsychiatric symptoms in Alzheimer's disease in populations of diverse ancestry
不同血统人群中阿尔茨海默病神经精神症状的遗传和神经解剖学基础
基本信息
- 批准号:10567606
- 负责人:
- 金额:$ 79.06万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-08-01 至 2028-07-31
- 项目状态:未结题
- 来源:
- 关键词:AccelerationAddressAdverse effectsAfrican AmericanAfrican American populationAggressive behaviorAgitationAlzheimer&aposs DiseaseAlzheimer&aposs disease patientAnxietyAsianAwarenessBiological MarkersBrain imagingCandidate Disease GeneCognitiveCohort StudiesCollectionComplementDataData SetDementiaEthnic PopulationEtiologyFamilyFollow-Up StudiesFutureGenesGeneticGenetic DeterminismGenetic RiskGenomic SegmentGenomic approachGenomicsGoalsHeritabilityHispanicHispanic AmericansHomeIndividualKnowledgeLatinoMendelian randomizationMental DepressionMental disordersModelingMolecularNeuroanatomyNot Hispanic or LatinoPathway AnalysisPathway interactionsPatientsPharmacological TreatmentPhenotypePopulationPopulation HeterogeneityProcessPsychiatric DiagnosisPsychosesResearch PersonnelResourcesRiskRoleSamplingSeveritiesSleep disturbancesStructureUnderserved PopulationUnited States National Institutes of HealthVariantadmixture mappingcohortcostdata harmonizationdisabling symptomdruggable targetethnic diversitygenetic architecturegenetic risk factorgenetic variantgenome resourcegenome-widegenomic datahealth disparityimprovedin silicomortalityneuropathologyneuropsychiatric symptomneuropsychiatrynovelpharmacologicracial diversityracial populationrepetitive behaviorresponsesegregationtraitwhole genome
项目摘要
PROJECT SUMMARY
This application is in response to PAR-21-212, Alzheimer’s Disease Sequencing Project Follow-Up Study 2.0
(ADSP FUS 2.0): The Diverse Population Initiative. Neuropsychiatric Symptoms (NPS) (e.g. aggression,
psychosis, anxiety, apathy, depression, agitation, sleep disturbances, repetitive behaviors) occur in 85% of AD
patients, and are associated with accelerated decline, out-of-home placement, increased costs, and greatly
increased suffering of patients and families. Despite this, our understanding of the etiology of NPS in AD is
inadequate, with treatments for NPS often being ineffective and associated with serious adverse effects
(including increased mortality). This knowledge gap is particularly egregious in underserved racial and ethnic
groups such as Hispanics and African-Americans, which historically have had limited genetic and phenotypic
studies of AD, although AD is up to twice as prevalent in these ethnic groups compared to non-Hispanic Whites.
To begin addressing this lack of diversity in AD genomics studies, the NIH/NIA has begun a number of diverse
genomics initiatives, among these the Alzheimer Disease Sequencing Project (ADSP) and its Follow-Up-Study
(ADSP-FUS) which have assembled and whole-genome sequenced ~60,000 individuals of diverse ancestral
background (Hispanic, African American, Asian, non-Hispanic White) and are now in the process of harmonizing
cognitive, brain imaging, neuropathological and biomarker data on these individuals. There is, however, no plan
to collect, harmonize, or analyze the important AD-associated NPS data that has been collected for these
samples. This is a critical oversight, as a better understanding of the genetic basis of NPS in AD, informed by
ancestral background, is vital to infer the mechanistic pathways underlying these highly disabling symptoms and
develop more effective pharmacological targets. To begin addressing this gap, we propose to (1) expand the
racially and ethnically diverse datasets of the ADSP-FUS and related efforts to include harmonized NPS data,
creating the largest and most diverse genomic resource on NPS in AD to date (n=61,343) allowing researchers
to assess a wide range of additional critical hypotheses through these resources; (2) utilize these harmonized
data to identify and describe genetic determinants, pathways, and polygenic effects underlying specific NPS in
AD; (3) explore the shared genetic architecture across AD-associated NPS and with primary psychiatric
disorders; and (4) disentangle the role of ancestry in NPS genetic risk.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Gary Wayne Beecham其他文献
Gary Wayne Beecham的其他文献
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{{ truncateString('Gary Wayne Beecham', 18)}}的其他基金
Genomic Characterization of Alzheimer Disease Risk in Admixed Populations with Native American and Southern European Genetic Ancestry
美洲原住民和南欧遗传血统混合人群阿尔茨海默病风险的基因组特征
- 批准号:
10615046 - 财政年份:2021
- 资助金额:
$ 79.06万 - 项目类别:
Genomic Characterization of Alzheimer Disease Risk in Admixed Populations with Native American and Southern European Genetic Ancestry
美洲原住民和南欧遗传血统混合人群阿尔茨海默病风险的基因组特征
- 批准号:
10335250 - 财政年份:2021
- 资助金额:
$ 79.06万 - 项目类别:
Identifying the Genetic Etiology of Neuropathology for Alzheimer Disease and Related Dementias
确定阿尔茨海默病和相关痴呆症神经病理学的遗传病因
- 批准号:
10612832 - 财政年份:2019
- 资助金额:
$ 79.06万 - 项目类别:
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:
10412088 - 财政年份:2019
- 资助金额:
$ 79.06万 - 项目类别:
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:
10667461 - 财政年份:2019
- 资助金额:
$ 79.06万 - 项目类别:
Identifying the Genetic Etiology of Neuropathology for Alzheimer Disease and Related Dementias
确定阿尔茨海默病和相关痴呆症神经病理学的遗传病因
- 批准号:
10372972 - 财政年份:2019
- 资助金额:
$ 79.06万 - 项目类别:
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 - 财政年份:2019
- 资助金额:
$ 79.06万 - 项目类别:
National Institute on Aging Alzheimer's Disease Family-Based Study (NIA-AD FBS)
国家老年阿尔茨海默病家庭研究研究所 (NIA-AD FBS)
- 批准号:
10355812 - 财政年份:2017
- 资助金额:
$ 79.06万 - 项目类别:
Genetic Epidemiology of Early-Onset Alzheimers disease in Caribbean Hispanics and non-Hispanic Whites
加勒比西班牙裔和非西班牙裔白人早发性阿尔茨海默病的遗传流行病学
- 批准号:
9194817 - 财政年份:2016
- 资助金额:
$ 79.06万 - 项目类别:
Genomic Characterization of Alzheimer's Disease Risk in the Puerto Rican Population
波多黎各人群阿尔茨海默病风险的基因组特征
- 批准号:
9194733 - 财政年份:2016
- 资助金额:
$ 79.06万 - 项目类别:
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