2/3 Akili: Phenotypic and genetic characterization of ADHD in Kenya and South Africa
2/3 Akili: Phenotypic and genetic characterization of ADHD in Kenya and South Africa
批准号:
10637187
负责人:
Amina Abubakar Ali
金额:
$53.71万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-01 至 2028-05-31
关键词:
AccelerationAddressAfricaAfricanAgeArchitectureAreaAttentionAttention deficit hyperactivity disorderAwardBehavioralBiologicalCaringChildClinicalCognitiveCollectionDNADataData CollectionDevelopmentDiagnosisDiseaseEducationEnrollmentEnsureEquityEuropean ancestryFruitFundingGeneralized Anxiety DisorderGenesGeneticGenetic ResearchGenetic RiskGenetic studyGenomicsGenotypeGoalsHealthHeterogeneityHyperactivityImpulsivityIntellectual functioning disabilityInternationalInterviewKenyaLeadLeadershipLinkMapsMedicalMedical HistoryMindMood DisordersNational Institute of Mental HealthNeurodevelopmental DisorderOccupationalOutcomeParentsParticipantPhenotypePopulationRavenResearchResourcesSalivaSample SizeSamplingScheduleSchool-Age PopulationScientistSeveritiesSiteSouth AfricaSouth AfricanSpeedStudentsSustainable DevelopmentTrainingUnited StatesVariantWorkautism spectrum disordercase controlclinically relevantcohortdesigndiagnostic criteriadoctoral studentexecutive functionexomeexome sequencinggene discoverygenetic architecturegenome wide association studygenome-wideimprovedinsightmemberneuropsychiatric disorderneuropsychiatrynon-verbalphenotypic datapolygenic risk scorepsychiatric genomicsrare variantrecruitrisk sharingrisk variantsexskillssocialsuccesstooltrait
中文摘要
项目总结
ADHD是一种常见的神经发育障碍,包括注意力困难、冲动和
多动症。这种诊断与教育、职业和健康方面的许多挑战有关
结果,特别是在不治疗的情况下。ADHD的遗传学研究有可能澄清这种疾病的
生物学基础,其异质性,以及它与其他神经精神病学诊断的关系。然而,
对ADHD的遗传学研究在以下方面滞后:(1)样本量,(2)祖先多样性,(3)考虑
表型异质性。Akii旨在解决所有这三个关键差距。阿基里语(斯瓦希里语术语,意为
Mind)将在肯尼亚和南非招收6,000名儿童--4,000名确诊为ADHD的儿童,以及
2000名年龄和血统匹配的对照组。所有参与者将完成详细的行为、认知和
医用表型电池,并提供DNA样本。我们将对所有6000名参与者进行基因特征分析
使用外显子组测序和全基因组基因分型,并公开所有Akii数据和材料
可通过NIMH获得。Akii Data将使Exome提供的ADHD病例数量增加近一倍
测序分析,并在目前的PGC-ADHD Gwas活性基础上增加20%。它将是到目前为止
不同血统数据对这两种分析的最大贡献。Akii将产生一个研究资源,
它具有国际价值,并首次在非洲范围内提供了ADHD的大规模特征。
英文摘要
PROJECT SUMMARY
ADHD is a common neurodevelopmental disorder that includes attention difficulty, impulsivity, and
hyperactivity. The diagnosis is associated with many challenges to educational, occupational, and health
outcomes, particularly when untreated. Genetic studies of ADHD have the potential to clarify the disorder’s
biological underpinnings, its heterogeneity, and its relationship to other neuropsychiatric diagnoses. However,
genetic research into ADHD lags in terms of: (1) sample size, (2) ancestral diversity, and (3) consideration of
phenotypic heterogeneity. Akili is designed to address all three of these critical gaps. Akili (the Swahili term for
“mind”) will enroll 6,000 children in Kenya and South Africa – 4,000 with a confirmed diagnosis of ADHD and
2,000 age- and ancestry-matched controls. All participants will complete a detailed behavioral, cognitive, and
medical phenotyping battery, and provide a DNA sample. We will genetically characterize all 6,000 participants
using exome sequencing and genome-wide genotyping, and make all Akili data and materials publicly
available through the NIMH. Akili data will nearly double the number of ADHD cases available for exome
sequencing analysis and provide a 20% addition to the current PGC-ADHD GWAS activity. It will be by far the
largest contributor of diverse ancestry data to either analysis. Akili will generate a research resource of
international value, and provide the first large-scale characterization of ADHD in the African context.
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会议论文
Eneza Data Science: Enhancing Data Science Capability and Tools for Health in East Africa
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批准号:10713044
-
项目类别:
-
资助金额:$20.0万
-
财政年份:2023
-
负责人:Amina Abubakar Ali
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依托单位:
UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science
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批准号:10490293
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项目类别:
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资助金额:$129.0万
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财政年份:2021
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负责人:Amina Abubakar Ali
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依托单位:
UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science
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批准号:10659241
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项目类别:
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资助金额:$130.0万
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财政年份:2021
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负责人:Amina Abubakar Ali
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依托单位:
Improving AI/ML-readiness of Synthetic Data in a Resource-Constrained Setting
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批准号:10841728
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项目类别:
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资助金额:$25.44万
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财政年份:2021
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负责人:Amina Abubakar Ali
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依托单位:
UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science
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批准号:10314084
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项目类别:
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资助金额:$129.97万
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财政年份:2021
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负责人:Amina Abubakar Ali
-
依托单位:
海外基金