Core E: Biostatistics and Bioinformatics Core

生物统计学与生物信息学核心文摘 项目摘要 传统上，许多IDD研究都集中在一个领域，例如，神经影像学或行为学; 动物研究或人类研究;遗传学或神经成像。今天，科学的现状是 演变成来自多个视点的数据的复杂得多的组合（例如，遗传学，神经影像学， 行为数据），这些数据可以共同推动下一代IDD研究，旨在发现如何 更好地识别、预防和干预缺碘症患者。因此，非常需要确定 有效的方法来联合收割机和分析这些多种类型和来源的数据。此外，对于数据类型 其本质上是多维的（例如，遗传学或神经影像学），第二个挑战变得明显： 这些方法中的许多需要大的样本量。因此，Core E的另一个重点是探索 有效利用大型数据库的方法（BioVU/合成衍生物）。虽然这些数据来源 虽然在尺寸上具有优势，但对大多数调查人员来说，导航它们是一个令人生畏的过程。在这方面， 核心E的总体目标是利用VU的大量统计和生物信息学专业知识 和VUMC，以推动当前的设计和分析的边界，为创新的服务， IDD的发现在此背景下，核心E有三个目标：目标1是提供统计咨询， IDDRC研究人员在实施最先进的方法，实验设计，统计分析， 和对调查结果的解释。核心E为IDDRC提供行为和生物行为统计咨询 需要基础或创新研究设计指导的研究者及其受训者;有效数据 收集和储存;适当的方法评价和实施;以及数据分析和解释。 目标2是开发新的生物信息学平台，用于自动处理来自多个来源的数据， 在碘缺乏病研究中实施不太广泛使用或新颖的数据分析方法。目标3是创造IDD- VUMC的大规模电子病历和基因组资源的特定数据库，并提供 相应的培训和支持服务。这些目标满足IDDRC调查人员的需要，包括 U 54研究项目，同时也产生了新的平台，流程和分析方法， 转化型碘缺乏病科学

BIOSTATISTICS AND BIOINFORMATICS CORE E ABSTRACT Project Summary Traditionally, much IDD research has focused on a single domain, e.g., either neuroimaging or behavior; either animal research or human research; either genetics or neuroimaging. Today, the state of the science is evolving into far more complex combinations of data from multiple viewpoints (e.g., genetic, neuroimaging, and behavioral data), which together can propel the next generation of IDD research aimed at discovering how to better identify, prevent, and intervene for those with IDDs. Thus, there is a great need to determine the most effective ways to combine and to analyze these multiple types and sources of data. Furthermore, for data types that are inherently multidimensional (e.g., genetics or neuroimaging), a second challenge becomes apparent: many of these approaches require big sample sizes. Therefore, an additional focus of Core E is to explore ways of effectively utilizing large repositories of data (BioVU/Synthetic Derivative). While these data sources are advantageous in size, navigating them is a daunting process for most investigators. Within this context, the overarching objective of Core E is to leverage the considerable statistical and bioinformatics expertise at VU and VUMC in order to push the current boundaries of design and analyses in the service of innovative discoveries in IDD. Against this backdrop, Core E has three aims: Aim 1 is to provide statistical consultation to IDDRC investigators in implementing state-of-the art approaches to experimental design, statistical analysis, and interpretation of findings. Core E provides behavioral and biobehavioral statistical consultations to IDDRC investigators and their trainees who need guidance on basic or innovative research study design; efficient data collection and storage; proper method evaluation and implementation; and data analyses and interpretation. Aim 2 is to develop new bioinformatics platforms for automation of data processing from multiple sources and to implement less widely used or novel data analysis approaches in IDD research. Aim 3 is to create IDD- specific databases from large-scale electronic medical record and genomic resources at VUMC and to provide corresponding training and support services. These Aims meet the needs of IDDRC investigators, including the U54 Research Project, while also generating new platforms, processes, and analytic methods that advance translational IDD science.