Training Program for Quantitative Population Sciences in Cancer

项目总结/摘要 现代生物医学研究依赖于新的方法来促进我们对复杂和复杂生物学的理解。 对公共卫生日益重要的多方面疾病，如癌症。新兴技术使 人口科学家以前所未有的规模生成数据（即，通过全基因组阵列 扫描）。因此，迫切需要不仅在经典学科中培养下一代科学家， 参与人类恶性肿瘤的研究，但要在互补的学科交叉培训，使他们 将他们的科学发现公之于众因此，我们建议继续一个非常成功的博士后 该计划结合了生物信息学领域的专业研究知识和方法， 生物统计学和流行病学。这个新颖的项目名为“数量人口培训项目” 癌症科学”的结构是为了补充现有的癌症研究和教育资源， Geisel医学院和Norris Cotton癌症中心（NCCC），NCI指定 综合癌症中心附属于达特茅斯和达特茅斯的盖泽尔医学院 希区柯克医疗中心。我们的培训工作将继续由调查人员领导， 生物信息学、生物统计学和流行病学领域的互补性专门知识，主要是在 生物医学数据科学，流行病学和分子与系统生物学系。我们将 利用达特茅斯在这些学科中有才华的干部教师，他们可以提供专家指导， 多功能的研究和中心赠款组合，可以提供丰富的人口科学数据， 生物样本和核心研究设施为了实现我们的目标，我们建议交叉培训8名 流行病学、生物信息学或生物统计学博士后培训生，为期2至3年。学员将 与来自两个重点学科的主要和次要导师配对，并完成交叉- 学科课程，可选的定量生物医学科学硕士学位。在第二年， 在三个计划中，学员将集中精力进行导师制的研究活动，准备模拟 申请NIH资助，并参与专业稿件的编写，在 研讨会和科学会议以及可选的研究实习。项目负责人，协商 与咨询委员会一起，将选择学员，监测他们的进展并提供建议， 确保提供必要的教学和研究经验， 研究人员在人口科学跨学科癌症研究的未来。的最终目标 该培训计划旨在通过加强现有的癌症研究人员队伍来加速癌症研究。 具有应对人口转化癌症研究中当前和未来挑战的技能 以理工科为重

PROJECT SUMMARY/ABSTRACT Modern biomedical research relies on new approaches to advance our understanding of complex and multifaceted illnesses of growing public health significance such as cancer. Emerging technologies enable population scientists to generate data on a scale never before imaginable (i.e., through whole genome array scans). Thus, there is a critical need to not only train the next generation of scientists in the classic disciplines involved in studies of human malignancies, but to cross-train them in complementary disciplines to allow them to bring their scientific discoveries to light. Therefore, we propose to continue a highly successful postdoctoral program that combines specialized research knowledge and methodologies in the fields of bioinformatics, biostatistics and epidemiology. This novel program, entitled “Training Program for Quantitative Population Sciences in Cancer,” is structured to complement the existing resources for cancer research and education at the Geisel School of Medicine and the Norris Cotton Cancer Center (NCCC), an NCI designated Comprehensive Cancer Center affiliated with the Geisel School of Medicine at Dartmouth and Dartmouth Hitchcock Medical Center (DHMC). Our training efforts will continue to be led by investigators with complementary expertise in the fields of bioinformatics, biostatistics and epidemiology primarily within the Departments of Biomedical Data Science, Epidemiology and Molecular and Systems Biology. We will capitalize on Dartmouth’s talented cadre faculty in these disciplines who can offer expert mentorship, and a versatile portfolio of research and center grants that can supply access to a wealth of population science data, biologic samples and core research facilities. To accomplish our objectives, we propose to cross-train eight postdoctoral trainees in epidemiology, bioinformatics or biostatistics for a period of 2 to 3 years. Trainees will be paired with a primary and secondary mentor from two of the focus disciplines and complete cross- disciplinary coursework with an optional MS degree in Quantitative Biomedical Sciences. In years two and three of the program, trainees will concentrate on the conduct of mentored research activities, prepare a mock NIH grant application, and participate in the preparation of professional manuscripts, presentations at symposia and scientific conferences and an optional research externship. Program leaders, in consultation with an Advisory Committee, will select trainees, monitor their progress and provide recommendations to ensure that the necessary didactic and research experiences are provided to produce highly knowledgeable investigators for the future of interdisciplinary cancer research in the population sciences. The ultimate goal of the training program is to accelerate cancer research by enhancing the existing pool of cancer researchers with the skills to meet the present and future challenges in translational cancer research in the population sciences.