Training Program for Quantitative Population Sciences in Cancer

癌症定量人口科学培训计划

• 批准号: 8127627
• 负责人: MARGARET Rita KARAGAS
• 金额: $ 40.17万
• 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 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8127627
• 关键词: Address; Advisory Committees; Applications Grants; Area; Bioinformatics; Biomedical Research; Biometry; Biostatistical Methods; Cancer Etiology; Cancer Research Project; Cancer Science; Clinical Sciences; Community Medicine; Complement; Complex; Comprehensive Cancer Center; Data; Development; Discipline; Educational Curriculum; Emerging Technologies; Ensure; Environment; Epidemiology; Ethics; Faculty; Family Practice; Funding Mechanisms; Future; Genetic; Genome; Goals; Grant; Health Policy; Human; Institutes; Interdisciplinary Study; Journals; Knowledge; Light; Malignant Neoplasms; Manuscripts; Medical center; Mentors; Methodology; Mission; Molecular Medicine; Molecular and Cellular Biology; Monitor; National Cancer Institute; Nature; Norris Cotton Cancer Center; Population; Population Sciences; Positioning Attribute; Postdoctoral Fellow; Preparation; Public Health; Public Health Practice; Publications; Recommendation; Research; Research Activity; Research Personnel; Research Support; Research Training; Resources; Scanning; Scientist; Secondary to; Senior Scientist; Structure; Training; Training Program for Cancer Prevention and Control Scientists (R25); Training Programs; Translations; United States; United States National Institutes of Health; Writing; anticancer research; cancer education; cancer epidemiology; cancer prevention; career; clinical practice; design; experience; field study; health application; improved; innovation; interdisciplinary approach; medical schools; meetings; multidisciplinary; next generation; novel; post-doctoral training; programs; skills; statistics; symposium

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 will 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 enable them to bring their scientific discoveries to light. Therefore, we propose a 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 Dartmouth Medical School (DMS) and will be aligned with the mission of the Norris Cotton Cancer Center (NCCC), an NCI designated Comprehensive Cancer Center affiliated with Dartmouth Medical School and Dartmouth Hitchcock Medical Center (DHMC). The training efforts will be led by established investigators in the fields of bioinformatics, biostatistics and epidemiology within the Departments of Genetics and Community and Family Medicine/Section of Biostatistics and Epidemiology. 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 complete cross-disciplinary coursework in the first year of the program and will be paired with a primary and secondary mentor from two of the focus disciplines. 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 seminars and scientific conferences. An Advisory Committee composed of the leaders and mentors of the proposed disciplines 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。新兴技术将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，迫切需要不仅在涉及人类恶性肿瘤研究的经典学科中培训下一代科学家，而且在互补学科中交叉培训他们，使他们能够将他们的科学发现公之于众。因此，我们提出了一个博士后计划，结合了生物信息学，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，为定量人口科学在癌症，”将结构，以补充现有的资源，癌症研究和教育在达特茅斯医学院（DMS），并将与诺里斯棉花癌症中心（NCCC），NCI指定的综合癌症中心附属于达特茅斯医学院和达特茅斯希区柯克医学中心（DHMC）的使命保持一致。培训工作将由遗传学和社区及家庭医学系/生物统计学和流行病学科内生物信息学、生物统计学和流行病学领域的资深研究人员领导。为了实现我们的目标，我们建议在流行病学，生物信息学或生物统计学方面交叉培训6名博士后学员，为期2至3年。学员将在该计划的第一年完成跨学科课程，并将与来自两个重点学科的初级和次级导师配对。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赠款申请，并参加研讨会和科学会议的专业手稿和演示文稿的准备。一个由拟议学科的领导人和导师组成的咨询委员会将挑选受训人员，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调查人员。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。