3D Facial Imaging in FASD (U01)

FASD 中的 3D 面部成像 (U01)

基本信息

项目摘要

DESCRIPTION (provided by applicant): During the past three years, members of the Facial Imaging Core have worked with the Consortium to apply novel methods to more effectively diagnose FAS using 3D images from an ethnically diverse sample. These data and their subsequent analyses were used to identify features which consistently and reliably distinguished individuals with a clinical diagnosis of FAS from controls. Based on the initial success of the 'Facial Imaging Core', we now propose an expanded series of aims to be part of a clinical project named '3D Facial Imaging in FASD'. Subsequent work proposed in this study will build on the lessons learned in this first phase of research and utilize improved technology and sampling procedures to extend the diagnostic utility of these novel techniques to a wider range of individuals with prenatal alcohol exposure or FASD. In collaboration with several clinical projects, we will collect a longitudinal, multi-ethnic sample of individuals prenatally exposed to alcohol. This sample will allow us to reliably separate the effects of ethnic variation and developmental age from those due to alcohol exposure. We will also continue to work with the basic science projects to ensure that results in the different species (human, mouse, sheep) are used to inform analyses in each project. The overarching goals of this project are to: Goal 1: improve understanding of the dysmorphic features in FAS and FASD; Goal 2: enhance the capability for definitive diagnosis of FAS and the broader spectrum of FASD at different stages of the lifespan; and Goal 3: establish whether there is a relationship between FAS and FASD dysmorphic features and the specific underlying impairments in brain function.
描述(由申请人提供):在过去三年中,面部成像核心成员与联盟合作,应用新颖的方法,使用来自不同种族样本的 3D 图像更有效地诊断 FAS。这些数据及其随后的分析用于识别能够一致且可靠地将临床诊断为 FAS 的个体与对照个体区分开来的特征。基于“面部成像核心”的初步成功,我们现在提出了一系列扩展目标,作为名为“FASD 的 3D 面部成像”临床项目的一部分。本研究提出的后续工作将借鉴第一阶段研究的经验教训,并利用改进的技术和采样程序,将这些新技术的诊断效用扩展到更广泛的产前酒精暴露或胎儿酒精谱系障碍 (FASD) 个体。我们将与多个临床项目合作,收集产前接触酒精的个体的纵向、多种族样本。该样本将使我们能够可靠地将种族差异和发育年龄的影响与酒精暴露造成的影响区分开来。我们还将继续与基础科学项目合作,确保不同物种(人类、小鼠、羊)的结果用于为每个项目的分析提供信息。该项目的总体目标是: 目标 1:提高对 FAS 和 FASD 畸形特征的理解;目标2:增强在生命周期不同阶段明确诊断FAS和更广泛的FASD的能力;目标 3:确定 FAS 和 FASD 畸形特征与大脑功能的特定潜在损伤之间是否存在关系。

项目成果

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TATIANA M. FOROUD其他文献

TATIANA M. FOROUD的其他文献

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{{ truncateString('TATIANA M. FOROUD', 18)}}的其他基金

Biospecimen Exchange for Neurological Disorders (BioSEND)
神经系统疾病生物样本交换 (BioSEND)
  • 批准号:
    10289967
  • 财政年份:
    2021
  • 资助金额:
    $ 15.32万
  • 项目类别:
Genetic, Biomarker and Biospecimen Core
遗传、生物标志物和生物样本核心
  • 批准号:
    10475194
  • 财政年份:
    2021
  • 资助金额:
    $ 15.32万
  • 项目类别:
Genetic, Biomarker and Biospecimen Core
遗传、生物标志物和生物样本核心
  • 批准号:
    10666625
  • 财政年份:
    2021
  • 资助金额:
    $ 15.32万
  • 项目类别:
Biospecimen Exchange for Neurological Disorders (BioSEND)
神经系统疾病生物样本交换 (BioSEND)
  • 批准号:
    10448512
  • 财政年份:
    2021
  • 资助金额:
    $ 15.32万
  • 项目类别:
Genetic, Biomarker and Biospecimen Core
遗传、生物标志物和生物样本核心
  • 批准号:
    10264436
  • 财政年份:
    2021
  • 资助金额:
    $ 15.32万
  • 项目类别:
Biospecimen Exchange for Neurological Disorders (BioSEND)
神经系统疾病生物样本交换 (BioSEND)
  • 批准号:
    10674941
  • 财政年份:
    2021
  • 资助金额:
    $ 15.32万
  • 项目类别:
The National Institute on Aging (NIA) Late Onset of Alzheimer's Disease (LOAD) Family-Based Study (FBS)
美国国家老龄化研究所 (NIA) 晚发型阿尔茨海默病 (LOAD) 基于家庭的研究 (FBS)
  • 批准号:
    9812732
  • 财政年份:
    2017
  • 资助金额:
    $ 15.32万
  • 项目类别:
Dissecting the genetic contributions to fetal alcohol spectrum disorders
剖析胎儿酒精谱系障碍的遗传因素
  • 批准号:
    10166731
  • 财政年份:
    2017
  • 资助金额:
    $ 15.32万
  • 项目类别:
The National Institute on Aging (NIA) Late Onset of Alzheimer's Disease (LOAD) Family-Based Study (FBS)
美国国家老龄化研究所 (NIA) 晚发型阿尔茨海默病 (LOAD) 基于家庭的研究 (FBS)
  • 批准号:
    9358127
  • 财政年份:
    2017
  • 资助金额:
    $ 15.32万
  • 项目类别:
The National Institute on Aging (NIA) Late Onset of Alzheimer's Disease (LOAD) Family-Based Study (FBS)
美国国家老龄化研究所 (NIA) 晚发型阿尔茨海默病 (LOAD) 基于家庭的研究 (FBS)
  • 批准号:
    10198718
  • 财政年份:
    2017
  • 资助金额:
    $ 15.32万
  • 项目类别:

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