Integration of Mixtures Toxicology, Toxicogenomics and Statistics.

混合物毒理学、毒理学和统计学的整合。

• 批准号: 9539399
• 负责人: David Charles Wheeler
• 金额: --
• 依托单位: VIRGINIA COMMONWEALTH UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9539399
• 关键词: Toxicogenomics; Toxicology; statistics

DESCRIPTION (provided by applicant): The objective of this training grant is to train biostatisticians to work in inter-disciplinary collaborative teams addressing the problems associated with evaluating the effects of relevant environmental chemical mixtures or in the area of toxicogenomics. A key to the success of this venture is the joining of the efforts of key scientists (genomic or mixtures toxicologists, environmental epidemiologists and biostatisticians) in the fields of chemical mixtures or toxicogenomics with trainees from a department of biostatistics. The goal is for trainees to gain an understanding of and experience working on statistical issues for these two important areas of toxicology. These trainees will be qualified to hold unique positions in governmental agencies, academia, and industry where properly evaluating risks associated with relevant chemical exposures is becoming increasingly important. The trainees will be Ph.D. students in the Department of Biostatistics at the Virginia Commonwealth University (VCU), where they will pursue pre-doctoral training in the discipline of biostatistics. Additional expertise will be achieved through work on dissertation/research topics that are pertinent to the field of mixtures or toxicogenomics and through collaborative work with toxicologists and/or environmental epidemiologists actively working in their area of interest. Through these research projects, students will gain experience collaborating with a team of experts working to understand the relationship between environmental exposures and human disease susceptibility. The trainees will assist in the design of studies, conduct appropriate power analyses, analyze resulting data, write reports with proper interpretation of the results, and participate in a collaborative team to produce one or more manuscripts for peer-review publication. In addition, the trainees will have dissertation topics developing statistical methodology for issues involved in the design and analysis of data resulting from chemical mixtures studies or high-throughput technologies.

描述（由申请人提供）：该培训补助金的目的是培训生物统计学家在跨学科协作团队中工作，解决与评估相关环境化学混合物的影响或毒物基因组学领域相关的问题。该项目成功的关键在于化学混合物或毒物基因组学领域的关键科学家（基因组或混合物毒理学家、环境流行病学家和生物统计学家）与生物统计学系的实习生的共同努力。目标是让学员了解毒理学这两个重要领域的统计问题并获得处理统计问题的经验。这些学员将有资格 在政府机构、学术界和工业界占有独特的地位，正确评估与相关化学品暴露相关的风险变得越来越重要。受训者将是博士学位。弗吉尼亚联邦大学（VCU）生物统计学系的学生将在那里接受生物统计学学科的博士前培训。通过与混合物或毒物基因组学领域相关的论文/研究主题的工作，以及通过与积极在其感兴趣领域工作的毒理学家和/或环境流行病学家的合作，将获得额外的专业知识。通过这些研究项目，学生将获得与专家团队合作的经验，致力于了解环境暴露与人类疾病易感性之间的关系。学员将协助设计研究，进行适当的功效分析，分析结果数据，撰写对结果进行正确解释的报告，并参与协作团队，撰写一份或多份手稿以供同行评审出版。此外，学员还将完成论文主题，为化学混合物研究或高通量技术产生的数据设计和分析所涉及的问题开发统计方法。