Integration of Five Large-Scale Neuropsychiatric Genetic Datasets under the RDoC Framework

RDoC框架下五个大规模神经精神遗传数据集的整合

基本信息

批准号：
8970437
负责人：
CARRIE E BEARDEN
金额：
$ 7.7万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-07-02 至 2017-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8970437
关键词：
Address Adopted Architecture Arousal and Regulatory Systems Behavior Behavioral Biological Bipolar Disorder Bipolar I Brain Brain imaging Categories Circadian Rhythms Clinical Collaborations Data Data Set Databases Diagnosis Diagnostic Dimensions Disease Ensure Family First Degree Relative Gene Expression Genetic Genetic Load Genetic Risk Genomics Goals Image Individual Investigation Latin America Lead Link Major Depressive Disorder Maps Measures Mental disorders Modeling Moods Motivation National Institute of Mental Health Negative Valence Netherlands Neurobiology Neurocognitive Neurophysiology - biologic function Nuclear Family Pathway interactions Patients Pattern Phenotype Play Population Positive Valence Process Psychiatric Diagnosis Psychopathology Research Research Domain Criteria Resources Role Sampling Scheme Schizophrenia Short-Term Memory Specific qualifier value Symptoms System Testing Variant base cognitive system cohort design endophenotype expectation experience genetic analysis genetic pedigree genetic resource genetic variant genome wide association study marijuana use neural circuit neuroimaging neuropsychiatry novel strategies phenomics population based public health relevance relating to nervous system risk variant trait

项目摘要

DESCRIPTION (provided by applicant): The NIMH Research Domains Criteria (RDoC) initiative represents a novel approach to defining mental disorders, based on quantifiable dimensions of behavior and neurobiological measures that may span multiple diagnostic categories. Using the RDoC framework, the proposed project will leverage five existing large, extensively phenotyped family-based and population-based cohorts from the US, the Netherlands, and Latin America in order to build an integrated database of multi-dimensional data. All of these studies collected extensive genetic, genomic, dimensional symptom and neurocognitive data, as well as neuroimaging measures. Cross-project data includes a broad range of constructs tapping multiple RDoC domains including positive and negative valence systems, cognitive systems, working memory, and arousal and regulatory systems. After assembling the integrated database, the project will test one of the central motivations of the RDoC project; the hypothesis that symptom dimensions that cut across diagnostic categories may be more closely linked to neural systems, as compared to categorical diagnoses. We will then use the extensive structural brain imaging data acquired across studies to identify neural circuits most relevant to both RDoC constructs and dimensional symptom expression, and thus represent the most promising biological pathways for subsequent genetic investigations.

描述（由申请人提供）：NIMH 研究领域标准 (RDoC) 倡议代表了一种定义精神障碍的新方法，基于可跨越多个诊断类别的行为和神经生物学测量的可量化维度，拟议项目将使用 RDoC 框架。利用来自美国、荷兰和拉丁美洲的现有五个大型、广泛表型的基于家庭和人群的队列，建立一个多维数据的综合数据库所有这些研究收集了广泛的遗传、基因组、维度症状和神经认知数据，以及跨项目数据包括利用多个 RDoC 领域的广泛构造，包括正负价系统、认知系统、工作记忆以及唤醒和调节系统。，该项目将测试 RDoC 项目的核心动机之一；与分类诊断相比，跨越诊断类别的症状维度可能与神经系统联系更紧密。通过研究获得的结构脑成像数据，以确定与 RDoC 结构和维度症状表达最相关的神经回路，从而代表后续遗传研究最有希望的生物途径。