Functional Characterization of Risk Variants for Psychotic Illness in the GWAS Er

GWAS Er 中精神疾病风险变异的功能特征

基本信息

  • 批准号:
    8078853
  • 负责人:
  • 金额:
    $ 14.03万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-06-01 至 2015-03-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): This is a resubmission of an NIMH Mentored Research Scientist Development Award (K01) entitled "Functional Characterization of Risk Variants for Psychotic Illness in the GWAS Era." (1 K01 MH086714-01) It was reviewed by the Behavioral Genetics and Epidemiology Study Section in February 2009 and received a priority score of 239. This award offers an important opportunity to prepare the candidate to achieve her long term career goal: to carry out translational psychiatric genetics research independently and to contribute to the understanding of how genetic variations influence on neural functions that contribute to the development of psychotic illnesses. The candidate's interest is in psychiatric genetics, with a particular focus on elucidating the etiologic pathways from DNA variants to the abnormal brain function that characterizes psychotic illness. The primary focus of the investigator's training during the award period will be in molecular genetics, genomics, and bioinformatics, which are areas where the investigator has not had formal training but will be essential to develop expertise for her proposed investigation and for her transition to be an independent investigator. The extensive hands-on training activities will allow the candidate to design and conduct genetic experiments and analyses independently by the end of the award period and have a high likelihood of success for submitting a R01 research project in the future. The candidate is an instructor at McLean Hospital, Harvard Medical School. Her proposed research project will be carried out at the Cognitive Neuroscience Laboratory (Director: Dr. Dean Salisbury, advisor on this application) McLean Hospital and at the Psychiatric and Neurodevelopmental Genetics Unit (Dr. Jordan Smoller, mentor of this application) Harvard Medical School. Previous studies indicate that four neurophysiologic traits (i.e., P300 amplitude and latency, P50 inhibition, and Gamma band response) are putative endophenotypes for psychotic illness and capture three important domains of brain function. The goals of this study are to use these quantitative endophenotypes to characterize the neurophysiological effects of disease susceptibility variants identified by genomewide association studies by mapping their effects on three key domains of brain function. First, the candidate will collect DNA samples and neurophysiological trait data from a sample of patients with psychotic illness and control subjects to provide a resource for endophenotype-mapping. Second, at the behavior level, she will examine cortical neural network dysfunction as measured by gamma-band response (GBR) in schizophrenia and psychotic bipolar patients to further clarify the overlapping and distinct profiles of GBR for these two disorders. Third, at the molecular genetic level, she will select risk variants that have shown the strongest evidence of association with clinical phenotypes of bipolar disorder (BPD), schizophrenia (SCZ), or psychosis, in completed GWAS analyses, and examine their association with quantitative endophenotypes to address key questions about the specific functional domains influenced by these risk variants. She will also genotype markers that have been significantly associated with schizophrenia linked endophenotypes in the large Consortium on the Genetics of Schizophrenia (COGS) study to replicate the findings that emerge from the COGS among SCZ patients and extend them to examine functional effects in psychotic bipolar patients. PUBLIC HEALTH RELEVANCE: The functional mapping of disease-associated variants onto specific domains of brain function may lead to essential biological insights into the mechanisms by which these genes may produce illness. Such information would provide critical tools for the design of treatment interventions aimed at reducing the severity or preventing the onset of psychotic disorder.
描述(由申请人提供):这是NIMH指导研究科学家发展奖(K 01)的重新提交,标题为“GWAS时代精神疾病风险变体的功能表征”。“(1 K 01 MH 086714 -01)2009年2月,行为遗传学和流行病学研究科对其进行了审查,并获得了239分的优先级。 该奖项提供了一个重要的机会,准备候选人实现她的长期职业目标:独立进行转化精神病遗传学研究,并有助于了解遗传变异如何影响神经功能,从而促进精神病的发展。候选人的兴趣是精神病遗传学,特别关注阐明从DNA变异到精神病特征的异常脑功能的病因学途径。研究者在奖励期间培训的主要重点将是分子遗传学、基因组学和生物信息学,这些领域的研究者尚未接受过正式培训,但对于发展其拟议研究的专业知识以及过渡为独立研究者至关重要。广泛的实践培训活动将使候选人能够在奖励期结束前独立设计和进行遗传实验和分析,并有很高的可能性在未来成功提交R 01研究项目。 候选人是哈佛医学院姆克林医院的讲师。她提出的研究项目将在认知神经科学实验室(主任:Dean Salisbury博士,本申请的顾问)姆克林医院和精神病学和神经发育遗传学单位(Jordan Smoller博士,本申请的导师)哈佛医学院进行。 先前的研究表明,四种神经生理学特征(即,P300振幅和潜伏期、P50抑制和γ带反应)是精神病的推定内表型,并捕获脑功能的三个重要领域。本研究的目的是使用这些定量的内在表型来表征疾病易感性变体的神经生理学效应,这些疾病易感性变体是通过全基因组关联研究确定的,方法是绘制它们对脑功能的三个关键领域的影响。首先,候选人将从精神病患者和对照受试者的样本中收集DNA样本和神经生理学特征数据,为内表型图谱提供资源。其次,在行为水平上,她将研究精神分裂症和精神病双相情感障碍患者的皮层神经网络功能障碍,以进一步阐明这两种疾病的GBR重叠和不同的特征。第三,在分子遗传学水平上,她将选择在已完成的GWAS分析中显示出与双相情感障碍(BPD),精神分裂症(SCZ)或精神病的临床表型相关的最强证据的风险变体,并检查它们与定量内表型的相关性,以解决有关受这些风险变体影响的特定功能域的关键问题。她还将在大型精神分裂症遗传学联盟(COGS)研究中对与精神分裂症相关的内表型显著相关的标记物进行基因分型,以复制SCZ患者中COGS的发现,并将其扩展到检查精神病双相患者的功能效应。 公共卫生相关性:将疾病相关变异映射到大脑功能的特定区域可能会导致对这些基因可能产生疾病的机制的重要生物学见解。这些信息将为设计旨在降低严重程度或预防精神障碍发作的治疗干预措施提供关键工具。

项目成果

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Mei-Hua Hall其他文献

Mei-Hua Hall的其他文献

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{{ truncateString('Mei-Hua Hall', 18)}}的其他基金

Modeling Temporality with Natural Language Processing to Predict Readmission Risk of Patients with Psychosis
使用自然语言处理对时序进行建模以预测精神病患者的再入院风险
  • 批准号:
    10445583
  • 财政年份:
    2022
  • 资助金额:
    $ 14.03万
  • 项目类别:
Modeling Temporality with Natural Language Processing to Predict Readmission Risk of Patients with Psychosis
使用自然语言处理对时序进行建模以预测精神病患者的再入院风险
  • 批准号:
    10669207
  • 财政年份:
    2022
  • 资助金额:
    $ 14.03万
  • 项目类别:
Identification of Trauma-related Features in EHR Data for Patients with Psychosis and Mood Disorders
精神病和情绪障碍患者 EHR 数据中创伤相关特征的识别
  • 批准号:
    10427433
  • 财政年份:
    2021
  • 资助金额:
    $ 14.03万
  • 项目类别:
Identification of Trauma-related Features in EHR Data for Patients with Psychosis and Mood Disorders
精神病和情绪障碍患者 EHR 数据中创伤相关特征的识别
  • 批准号:
    10296954
  • 财政年份:
    2021
  • 资助金额:
    $ 14.03万
  • 项目类别:
Neurobiological Markers as Predictors of Later Functional Outcome in First Episode Psychosis
神经生物学标记物作为首发精神病后期功能结果的预测因子
  • 批准号:
    10376420
  • 财政年份:
    2020
  • 资助金额:
    $ 14.03万
  • 项目类别:
Functional Characterization of Risk Variants for Psychotic Illness in the GWAS Er
GWAS Er 中精神疾病风险变异的功能特征
  • 批准号:
    8641415
  • 财政年份:
    2010
  • 资助金额:
    $ 14.03万
  • 项目类别:
Functional Characterization of Risk Variants for Psychotic Illness in the GWAS Er
GWAS Er 中精神疾病风险变异的功能特征
  • 批准号:
    8279387
  • 财政年份:
    2010
  • 资助金额:
    $ 14.03万
  • 项目类别:
Functional Characterization of Risk Variants for Psychotic Illness in the GWAS Er
GWAS Er 中精神疾病风险变异的功能特征
  • 批准号:
    7892862
  • 财政年份:
    2010
  • 资助金额:
    $ 14.03万
  • 项目类别:
Functional Characterization of Risk Genes for Psychotic Illness in the GWAS Era
GWAS 时代精神疾病风险基因的功能表征
  • 批准号:
    8444577
  • 财政年份:
    2010
  • 资助金额:
    $ 14.03万
  • 项目类别:

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