Biostatistics and Bioinformatics Facility Core

生物统计学和生物信息学设施核心

• 批准号: 10388189
• 负责人: Chris Gennings
• 金额: $ 20.85万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-18 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10388189
• 关键词: Address; Adolescence; Big Data; Bioinformatics; Biological; Biological Markers; Biometry; Chemical Exposure; Chemicals; Child; Clinical; Collaborations; Complex; Conceptions; Consultations; Core Facility; Data; Data Analyses; Data Analytics; Development; Elderly; Ensure; Environmental Exposure; Environmental Health; Environmental Impact; Environmental Pollution; Environmental Risk Factor; Epidemiology; Evaluation; Exposure to; Faculty; Functional disorder; Funding; Goals; Grant; Health; Health Sciences; Informatics; Knowledge; Lead; Life Cycle Stages; Linear Models; Longevity; Machine Learning; Measures; Methodology; Methods; Mission; Modeling; Names; Outcome; Phenotype; Play; Postdoctoral Fellow; Predisposition; Research; Research Design; Research Methodology; Research Personnel; Research Project Grants; Resources; Risk; Science; Scientist; Services; Social Environment; Statistical Methods; Statistical Study; Stress; Structure; Sum; Techniques; Testing; Time; Tooth structure; Training; Work; advanced analytics; analytical method; base; body system; complex data; critical period; data standards; design; early life exposure; epigenomics; executive function; health science research; improved; innovation; learning strategy; member; metabolomics; multidimensional data; novel; phenotypic data; post-doctoral training; programs; quality assurance; ranpirnase; recruit; sex; sound; statistics; young adult

Project Summary The mission of Mount Sinai's Transdisciplinary P30 Center on Early Environmental Exposures is to accelerate team science based research utilizing life course–informed models of health. The Biostatistics and Bioinformatics Facility Core (BBFC) plays a key role in that mission by modeling complex, sometimes novel, exposure and phenotype data generated by center members across a wide variety of study types (basic, clinical, epidemiologic) while focusing on developing methods to better address our Center's research themes (multiple exposures/mixtures, stress-chemical interactions, and sex specific effects of environmental exposure). The data structures we emphasize in this Center are multi-dimensional and complex—not simple, single exposures related to a single health outcome. While we offer standard data analytic services (e.g., linear models, longitudinal mixed effects models, power calculations, study analysis planning) the statistical methods and study designs needed for analyzing the complex, high-dimensional data that arise in much of our Center's work are still relatively new and require knowledge of advanced statistical techniques and the ability to curate and interpret complex biologic data – expertise maintained by the faculty of the BBFC. Core faculty and researchers engage in research motivated by questions and methodological challenges that arise from center collaborations and innovations by our Center Cores. For example, our Center's unique core facility services, such as the tooth biomarker that reconstruct past chemical exposure (described in the Integrated Health Sciences Facility Core) and the operant test chamber for multiple domains of executive functioning (detailed in the Phenotyping and Environmental Modifiers Facility Core) generated the need to create novel data analytical approaches that harness the full potential of these innovative measures. Core faculty and staff provide statistical and bioinformatics training for postdoctoral fellows working on environmental health sciences (EHS) related projects. Providing such services via a core facility allows the P30 Center to build and maintain specialized resources (e.g., expertise in measuring and advanced statistical methods related to evaluation of environmental mixtures). Thus, to support the overall goals of the P30 Center, the BBFC proposes the following specific aims: (1) to ensure that Center projects are grounded in sound biostatistical/bioinformatics principles and use state-of-the-art methods for design and analysis of EHS data; (2) to conduct mission-related biostatistical/bioinformatics methods research for further quality assurance of all research and data analysis methods; and (3) to assist in the training of biostatistical/bioinformatics principles and analysis methods to Center investigators, fellows and post-doctoral trainees.

项目摘要 西奈山的跨学科P30中心对早期环境暴露的使命是加速 基于团队科学的研究，利用生命过程知情的健康模型。生物统计学和 生物信息学设施核心（BBFC）通过模拟复杂的，有时是新颖的， 中心成员在各种研究类型中产生的暴露和表型数据（基础， 临床，流行病学），同时专注于开发方法，以更好地解决我们中心的研究主题 （多重接触/混合物、压力-化学品相互作用和环境对性别的具体影响） 曝光）。我们在本中心强调的数据结构是多维的、复杂的--不是简单的， 与单一健康结果相关的单一暴露。虽然我们提供标准的数据分析服务（例如，线性 模型、纵向混合效应模型、把握度计算、研究分析计划）统计方法 和研究设计需要分析复杂的，高维数据，出现在我们中心的大部分 工作仍然相对较新，需要先进的统计技术知识和能力，以策展 并解释复杂的生物数据-由BBFC的教师保持的专业知识。核心教师和 研究人员从事研究的动机是问题和方法上的挑战， 我们的中心核心的合作和创新。例如，我们中心独特的核心设施服务， 例如重建过去化学暴露的牙齿生物标志物（在综合健康 Sciences Facility Core）和执行功能多个领域的操作性测试箱（详见 表型和环境修饰剂设施核心）产生了创建新的数据分析的需要， 这些创新措施充分发挥了其潜力。核心教师和工作人员提供 为从事环境健康科学工作的博士后研究员提供统计和生物信息学培训 相关项目。通过核心设施提供此类服务，使P30中心能够构建和维护 专用资源（例如，计量方面的专门知识和与评价有关的先进统计方法 环境混合物）。因此，为了支持P30中心的总体目标，BBFC建议 （1）确保中心的项目建立在健全的生物统计/生物信息学基础之上 原则，并使用最先进的方法来设计和分析EHS数据;（2）进行与任务相关的 生物统计/生物信息学方法研究，以进一步保证所有研究和数据分析的质量 方法;（3）协助培训生物统计/生物信息学原理和分析方法， 中心研究员、研究员和博士后学员。