Biostatistics in Genetics and Genomics Training Program

描述（由申请人提供）：总结随着高通量基因组学和蛋白质组学技术的最新进展，迫切需要和缺乏了解生物学，特别是遗传学和基因组学的下一代生物统计学博士，因为他们在了解疾病的机制和风险以及人们如何应对不同的治疗干预方面至关重要。然而，传统的生物统计学培训几乎只强调统计理论和方法，已不再满足需要。作为回应，该申请开发了一个创新的跨学科博士前T32“遗传学和基因组学生物统计学”（BiG2）培训计划，并要求支持实施它。该培训资助的主要使命是准备生物统计学 通过遗传学和基因组学方面的优秀培训和指导，为博士前学员提供生物医学和公共卫生研究方面的领导作用。我们的具体目标包括在我们的博士课程和其他部门，通过跨学科研究项目，沟通和网络技能的发展，出席和参加期刊俱乐部和研讨会，并通过他们的论文跨学科研究计划的成功完成指导学习的必修和选修课程的每个学员完成，所有这些都为我们的学员提供了一个迅速扩大的领域的广泛培训。拟议的培训计划的显着特点是，每个目标都有一个生物统计方面和生物医学方面。一个关键是要确保每个受训者学习如何进行一个有凝聚力的和跨学科的研究计划，包括与生物医学研究人员合作，写作，提交，编辑和重新提交学术论文。该计划旨在支持学生在博士研究的早期阶段长达三年，之后他们的支持将转向由教师导师的研究赠款资助的项目。我们要求工资，学费和有限的旅行支持1个新的博士前实习生在每个头两年的5年资助期，并为2个新的博士前实习生在接下来的三年。这项培训计划将有助于提高我国分析重要生物医学数据的能力，从而从长远来看改善公众的健康和福祉。

DESCRIPTION (provided by applicant): Summary with the recent advances in high-throughput genomic and proteomic technologies, there is an urgent demand and shortage of the next-generation PhD biostatisticians who understand biology, especially genetics and genomics because they are so essential in understanding mechanisms and risk of disease, and how people respond to different therapeutic interventions. However, traditional training in biostatistics, which emphasizes almost exclusively on statistical theory and methods, no longer meets the need. As a response, this application develops an innovative and interdisciplinary pre- doctoral T32 "Biostatistics in Genetics and Genomics" (BiG2) training program and request support for implementing it. The primary mission of this training grant is to prepare Biostatistics predoctoral trainees for leadership roles in biomedical and public health research through excellent training and mentorship in genetics and genomics. Our specific objectives include completion by each trainee of required and elective coursework in our PhD program and in other departments, mentored learning through interdisciplinary research projects, development of communication and networking skills, attendance at and participation in journal clubs and seminars, and successful completion of a program of interdisciplinary research through their dissertation, all of which give our trainees broad training in a rapidly expanding field. The distinctive feature of the proposed training program is that each objective has both a biostatistical aspect and a biomedical aspect. A key is to ensure each trainee learns how to carry out a cohesive and interdisciplinary research program, including working with biomedical researchers, and writing, submitting, editing, and resubmitting scholarly papers. The program is designed to support students for up to three years at the early stages of their PhD studies, after which their support will switch to projects funded by the faculty mentors' research grants. We request salary, tuition, and limited travel support for 1 new predoctoral trainee in each of the fist two years of a 5-year funding period, and for 2 new predoctoral trainees in each of the following three years. This training program will contribute to our nation's ability to analyze important biomedical data, thus improving the health and well-being of the public in the long run.