Training Program for Quantitative Population Sciences in Cancer

癌症定量人口科学培训计划

• 批准号: 9131975
• 负责人: MARGARET Rita KARAGAS
• 金额: $ 33.6万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-07 至 2019-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9131975
• 关键词: Advisory Committees; Applications Grants; Applied Research; Area; Bioinformatics; Biology; Biomedical Research; Biometry; Cancer Etiology; Cancer Science; Clinical; Community Medicine; Complement; Complex; Comprehensive Cancer Center; Consultations; Data; Development; Discipline; Emerging Technologies; Ensure; Environment; Epidemiology; Ethics; Faculty; Family Practice; Future; Genetic; Genomic medicine; Goals; Grant; Health; Health Policy; Human; Institutes; Institution; Interdisciplinary Study; Investments; Journals; Knowledge; Light; Malignant Neoplasms; Manuscripts; Medical center; Mentors; Mentorship; Methodology; Mission; Molecular Medicine; Molecular and Cellular Biology; Monitor; National Cancer Institute; Norris Cotton Cancer Center; Pathway interactions; Policies; Population; Population Sciences; Positioning Attribute; Postdoctoral Fellow; Preparation; Prevention; Public Health; Public Health Practice; Publications; Recommendation; Regulation; Research; Research Activity; Research Personnel; Research Support; Resources; Sampling; Scanning; Scientist; Structure; Training; Training Programs; Translational Research; Translations; United States National Institutes of Health; Writing; anticancer research; biomedical informatics; biomedical scientist; cancer education; cancer epidemiology; cancer prevention; career; clinical practice; design; experience; faculty mentor; improved; innovation; interdisciplinary approach; medical schools; meetings; multidisciplinary; next generation; novel; post-doctoral training; programs; research facility; skills; symposium; training opportunity; whole genome

DESCRIPTION (provided by applicant): Modern biomedical research relies on both multidisciplinary and interdisciplinary 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," will be structured to complement the existing resources for cancer research and education at the Geisel School of Medicine and will be aligned with the mission of 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). The training efforts will continue to be led by established investigators with complementary expertise in the fields of bioinformatics, biostatistics and epidemiology within the Departments of Genetics and Community and Family Medicine, Section of Biostatistics and Epidemiology. We will capitalize on Dartmouth's expanded faculty in these disciplines who can offer expert mentorship, and an enlarging 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 six 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 in the first year of the program. 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 and presentations at symposia and scientific conferences. Program leaders, with consultation of 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 needed to meet the present and future needs in translational cancer research in the population sciences.

现代生物医学研究依赖于多学科和跨学科的方法，以促进我们对日益增长的公共卫生意义的复杂和多方面的疾病，如癌症的理解。新兴技术使人口科学家能够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，迫切需要不仅培训下一个 这将有助于培养从事人类恶性肿瘤研究的经典学科的一代科学家，但也有助于在互补学科中对他们进行交叉培训，使他们能够将自己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计划，结合生物信息学，生物统计学和流行病学领域的专业研究知识和方法。这一新的计划，题为“培训计划，定量人口科学在癌症，”将结构，以补充现有的资源，癌症研究和教育在盖泽尔医学院，并将与使命的诺里斯棉花癌症中心（NCCC），NCI指定的综合癌症中心附属于盖泽尔医学院在达特茅斯和达特茅斯希区柯克医学中心（DHMC）的诺里斯棉花癌症中心（NCCC）。培训工作将继续由遗传学系和社区及家庭医学系生物统计学和流行病学科在生物信息学、生物统计学和流行病学领域具有互补专长的资深调查人员领导。我们将利用达特茅斯在这些学科中扩大的教师队伍，他们可以提供专家指导，以及不断扩大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，我们建议在一段时间内交叉培训六名流行病学、生物信息学或生物统计学博士后学员 2到3年。学员将与来自两个重点学科的一级和二级导师配对，并在计划的第一年完成跨学科课程。在该计划的第二年和第三年，学员将专注于指导研究活动的开展，准备模拟NIH资助申请，并参与专题讨论会和科学会议上的专业手稿和演讲的准备。项目负责人将与咨询委员会协商，选择受训人员，监测他们的进展情况，并提供建议，以确保提供必要的教学和研究经验，为人口科学跨学科癌症研究的未来培养知识渊博的研究人员。培训计划的最终目标是通过增强现有癌症研究人员的技能来加速癌症研究，以满足人口科学中转化癌症研究的当前和未来需求。