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Computational Genomic Epidemiology of Cancer (CoGEC) Training Program

癌症计算基因组流行病学 (CoGEC) 培训计划

基本信息

批准号：
10623378
负责人：
Thomas Louis LaFramboise
金额：
$ 29.94万
依托单位：
CASE WESTERN RESERVE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-08-01 至 2028-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10623378
关键词：
Training Programs cancer epidemiology genomic epidemiology

项目摘要

PROJECT SUMMARY/ABSTRACT Undertaking innovative cancer research requires input from teams of scientists with a mixture of backgrounds, including molecular biology, oncology, medicine, epidemiology, biostatistics, genomics/genetics, bioinformatics, computer science and artificial intelligence. Researchers with interdisciplinary training across these fields are extremely valuable to such teams, as they can act as conduits for the integrated work necessary to accomplish some of the most promising and forward-looking cancer research. Due to the exclusive nature of training within these fields, however, there are limited opportunities for investigators to obtain the knowledge that bridges these disciplines. To help remedy this problem, we propose here the continuation of this T32 program to provide postdoctoral training in the Computational Genomic Epidemiology of Cancer (CoGEC) at the Case Comprehensive Cancer Center. The CoGEC training program defines a novel, transdisciplinary area of training at the intersection of cancer research, epidemiology, biostatistics, genetics, and computer science. The program’s structure is defined by three key requirements. First, all trainees will have the opportunity to take a specialized core curriculum of five courses to fill in the gaps of their previous training if necessary. Second, the trainees will undertake additional didactic experiences selected to complement their educational and research background. Third, all trainees will obtain research experience by collaborating with multiple mentors on high-level computational genomic epidemiology of cancer projects. As an extension of this research experience, each trainee will be required to write and defend an NIH grant proposal. Cancer researchers obtaining training in this program will have the skills vital to deciphering the complex pathways comprising genetic and environmental risk factors for disease. In doing so, their knowledge and findings will be translated into improved cancer understanding, prevention and treatment.

项目总结/摘要进行创新的癌症研究需要来自不同背景的科学家团队的投入，包括分子生物学、肿瘤学、医学、流行病学、生物统计学、基因组学/遗传学，生物信息学、计算机科学和人工智能。跨学科培训的研究人员这些字段对于这些团队来说非常有价值，因为它们可以充当集成工作的管道完成一些最有前途和前瞻性的癌症研究所必需的。由于然而，由于这些领域的培训具有排他性，调查人员能够获得连接这些学科的知识。为了帮助解决这个问题，我们在这里提出继续这个T32计划，提供计算基因组流行病学博士后培训癌症综合中心（Case Comprehensive Cancer Center）。CoGEC培训计划定义了一种新颖的，在癌症研究，流行病学，生物统计学，遗传学，和计算机科学该计划的结构由三个关键要求定义。首先，所有学员将有机会参加五门课程的专业核心课程，以填补他们以前的空白必要时进行培训。第二，受训人员将获得更多的教学经验，补充他们的教育和研究背景。第三，所有学员将获得研究经验，与多位导师合作开展癌症项目的高水平计算基因组流行病学。作为作为这项研究经验的延伸，每个受训者都将被要求撰写和辩护NIH的拨款。提议癌症研究人员获得培训，在这一计划将有技能至关重要的破译，复杂的途径，包括遗传和环境风险因素的疾病。这样做，他们的知识研究结果将转化为更好的癌症理解，预防和治疗。