University of Utah Interdisciplinary Training Program in Computational Approaches to Diabetes and Metabolism Research

项目摘要 有一个广泛的共识，肥胖，糖尿病，及其许多并发症代表了一个主要的 21世纪世纪美国和全球的公共卫生危机生物医学研究工作旨在 对糖尿病的病因、诊断、预后和结果的表征已经越来越多地产生 包括结构生物学，信息学，代谢组学， 全基因组测序、蛋白质组学、表型数据集、电子健康记录和公共卫生 数据集。生物信息学、临床信息学、数据可视化中的计算和数学方法， 和数学建模来分析和解释大量的数据，以改善人们的生活。 糖尿病患者凭借独特的资源，如犹他州人口数据库，犹他州基因组计划， 犹他州大学生物医学信息学系和犹他州糖尿病和代谢中心 有一个特殊的培训环境，并已看到许多双导师学员建立独立的 研究生涯。在此申请中，我们建议正式建立NIDDK跨学科培训 犹他州大学糖尿病和代谢研究的计算方法项目， Wendy Chapman博士，生物医学信息学系主任和Simon Fisher，MD，PhD，内分泌科主任兼糖尿病和代谢科联合主任 犹他州大学中心。拟议的多学科培训计划跨越18个部门， 大学这个跨学科计划的目标是准备博士前和博士后学员， 计算和数学方法的领导者，并让他们参与大型数据集的分析 涉及糖尿病、肥胖症和新陈代谢等复杂的生物学问题。每个学员将参加一个 为期两年的培训计划，其中包括一个多学科指导委员会的研究项目， 教学课程和专业发展机会。每名学员将获得双重指导 来自计算机和生物学导师。指导委员会，根据每个学员的 研究兴趣，将从55名MD和博士研究人员（26名计算/数学 导师和29名糖尿病/代谢导师）。培训计划将由一名主管监督 委员会由两名主要研究员和五名共同主任组成，他们都是研究员， 对指导学员的坚定承诺的良好记录。我们请求支援五个 培训生职位（三名博士前和两名博士后），在五年内培训总共12名科学家。与此 独特的跨学科培训经验，我们希望我们的学员成为应用领域的世界领导者 糖尿病、肥胖症和新陈代谢研究。

PROJECT SUMMARY There is a broad consensus that obesity, diabetes, and its many complications represent one of the major public health crises of the 21st century in the United States and globally. Biomedical research efforts aimed at characterization of the etiology, diagnoses, prognosis, and outcomes of diabetes has increasingly generated large amounts of complex data in many scientific fields including structural biology, informatics, metabolomics, whole genome sequencing, proteomics, phenotypic datasets, electronic health records, and public health datasets. Computational and mathematical methods in bioinformatics, clinical informatics, data visualization, and mathematical modeling are needed to analyze and interpret the plethora of data to improve the lives of people with diabetes. With unique resources such as the Utah Population Database, the Utah Genome Project, the Department of Biomedical Informatics, and Utah's Diabetes and Metabolism Center, the University of Utah has an exceptional training environment and has seen many dual-mentored trainees establish independent research careers. In this application we propose to formally establish an NIDDK Interdisciplinary Training Program in Computational Approaches to Diabetes and Metabolism Research at the University of Utah under the leadership of Wendy Chapman, PhD, Chair of the Department of Biomedical Informatics, and Simon Fisher, MD, PhD, Chief of the Division of Endocrinology and Co-Director of the Diabetes and Metabolism Center at the University of Utah. The proposed multidisciplinary training program spans 18 departments at the University. The goal of this interdisciplinary program is to prepare predoctoral and postdoctoral trainees to be leaders in computational and mathematical methods and engage them in the analysis of large data sets involving complex biological problems in diabetes, obesity, and metabolism. Each trainee will participate in a two-year training program that includes a research project with a multidisciplinary mentoring committee, didactic coursework, and professional development opportunities. Each trainee will receive dual mentorship from both a computational and a biological mentor. The mentoring committees, tailored to each trainee's research interests, will draw from a mentor pool of 55 MD and PhD investigators (26 computational/mathematic mentors and 29 diabetes/metabolism mentors). The training program will be overseen by an executive committee comprising the two Principal Investigators and five Co-Directors, all of whom are investigators with strong track records of uncompromising commitment to mentoring trainees. We are requesting support for five trainee positions (three predoctoral and two postdoctoral) to train a total of 12 scientists over 5 years. With this unique interdisciplinary training experience, we expect our trainees to become world leaders in the application of bioinformatics to diabetes, obesity, and metabolism research.