Biostatistics in Genetics and Genomics Training Program

摘要 随着高通量生物技术的最新进展和相关的大数据泛滥， 具有雄厚实力的下一代博士级科学家的需求和短缺十分迫切 在理解生物学的同时处理大数据的生物统计和计算技能，尤其是 遗传学和基因组学。然而，生物统计学的传统培训强调几乎 仅靠统计理论和方法，已不能满足需要；同样，满足大数据 挑战，传统的遗传学培训可以通过更多的培训来扩大和加强 生物统计学/数据科学。作为回应，这个应用程序继续开发和完善 创新和跨学科的博士前T32《遗传学和基因组学中的生物统计学》 (BiG2)培训计划。这项培训基金的主要任务是准备生物统计学， 遗传学和其他博士前实习生通过出色的 生物统计学和遗传学/基因组学方面的培训和指导。去迎接最重要的 由NIGMS的RFA指定的目标，我们的培训计划要求每个学员完成 附属博士项目的必修和选修课程，有生物统计学方面的额外培训 和/或遗传学，通过实验室轮换的跨学科研究项目指导学习， 培养批判性思维、沟通和网络技能、出席和参与 在期刊俱乐部、研讨会和全国会议上，成功完成了 通过他们的论文进行跨学科研究，以及未来的职业发展，所有这些都给了 我们的学员在迅速扩大的领域中接受了广泛的培训。建议的最大特点是 培训计划是其跨学科性质，整合了生物统计学(或 方法学/计算)方面和遗传/生物医学方面。一个关键是确保每个人 学员学习如何执行关键的、可重复的、有凝聚力的和跨学科的研究计划， 包括与各种生物医学研究人员合作。我们请求支持中的4-5-6-6-6插槽 生物统计学、遗传学和其他附属博士项目博士前实习生1-5年。 每个实习生在博士学习的早期阶段将获得两年的资助，之后他/她 支持将转向由教师导师的研究补助金资助的项目。作为可衡量的 结果，在短期内，我们将检查学员及时完成 他们的博士学习和就业安排；从长远来看，这将取决于他们的成功和 他们未来在生物医学研究方面的职业生涯的影响；在这两者之间，将是他们的出版物、奖项 在他们职业生涯开始的时候，他们的职业生涯会发生转变。

Summary With the recent advances in high-throughput biotechnologies and associated flooding of Big Data, there is an urgent demand and shortage of the next-generation PhD-level scientists who have strong biostatistical and computational skills to handle Big Data while understanding biology, especially genetics and genomics. However, traditional training in biostatistics, which emphasizes almost exclusively on statistical theory and methods, no longer meets the need; similarly, to meet Big Data challenge, traditional training in genetics could be expanded and strengthened with more training in biostatistics/data science. As a response, this application continues the development and refinement of an innovative and interdisciplinary pre-doctoral T32 “Biostatistics in Genetics and Genomics” (BiG2) training program. The primary mission of this training grant is to prepare Biostatistics, Genetics and other predoctoral trainees for leadership roles in biomedical research through excellent training and mentorship in both biostatistics and genetics/genomics. To meet the overarching objective specified by the NIGMS's RFA, our training program requires completion by each trainee of required and elective coursework in an affiliated PhD program with extra training in Biostatistics and/or Genetics, mentored learning through interdisciplinary research projects through lab rotations, development of critical thinking, communication and networking skills, attendance at and participation in journal clubs, seminars and national meetings, successful completion of a program of interdisciplinary research through their dissertation, and future career development, all of which give our trainees broad training in a rapidly expanding field. The most distinctive feature of the proposed training program is its interdisciplinary nature integrating both a biostatistical (or methodological/computational) aspect and a genetic/biomedical aspect. A key is to ensure each trainee learns how to carry out critical, reproducible, cohesive and interdisciplinary research program, including collaborating with various biomedical researchers. We request support for 4-5-6-6-6 slots in years 1-5 for predoctoral trainees from Biostatistics, Genetics and other affiliated PhD programs. Each trainee is to be funded for two years at the early stage of his/her PhD study, after which his/her support will switch to projects funded by the faculty mentors' research grants. As measurable outcomes, in a short term, we will examine the success rates of the trainee's timely completion of their PhD studies and their job placements; in a long term, it will be determined by the success and impact of their future careers in biomedical research; in between, it will be their publications, awards and career transitions around the beginning of their careers.