Computational Genomic Epidemiology of Cancer (CoGEC) Training Program

癌症计算基因组流行病学 (CoGEC) 培训计划

• 批准号: 10623378
• 负责人: Thomas Louis LaFramboise
• 金额: $ 29.94万
• 依托单位: CASE WESTERN RESERVE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2028-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10623378
• 关键词: Training Programs; cancer epidemiology; genomic epidemiology

PROJECT SUMMARY/ABSTRACT Undertaking innovative cancer research requires input from teams of scientists with a mixture of backgrounds, including molecular biology, oncology, medicine, epidemiology, biostatistics, genomics/genetics, bioinformatics, computer science and artificial intelligence. Researchers with interdisciplinary training across these fields are extremely valuable to such teams, as they can act as conduits for the integrated work necessary to accomplish some of the most promising and forward-looking cancer research. Due to the exclusive nature of training within these fields, however, there are limited opportunities for investigators to obtain the knowledge that bridges these disciplines. To help remedy this problem, we propose here the continuation of this T32 program to provide postdoctoral training in the Computational Genomic Epidemiology of Cancer (CoGEC) at the Case Comprehensive Cancer Center. The CoGEC training program defines a novel, transdisciplinary area of training at the intersection of cancer research, epidemiology, biostatistics, genetics, and computer science. The program’s structure is defined by three key requirements. First, all trainees will have the opportunity to take a specialized core curriculum of five courses to fill in the gaps of their previous training if necessary. Second, the trainees will undertake additional didactic experiences selected to complement their educational and research background. Third, all trainees will obtain research experience by collaborating with multiple mentors on high-level computational genomic epidemiology of cancer projects. As an extension of this research experience, each trainee will be required to write and defend an NIH grant proposal. Cancer researchers obtaining training in this program will have the skills vital to deciphering the complex pathways comprising genetic and environmental risk factors for disease. In doing so, their knowledge and findings will be translated into improved cancer understanding, prevention and treatment.

项目概要/摘要 进行创新的癌症研究需要来自不同背景的科学家团队的投入， 包括分子生物学、肿瘤学、医学、流行病学、生物统计学、基因组学/遗传学、 接受过跨学科培训的生物信息学、计算机科学和人工智能研究人员。 这些领域对于此类团队来说非常有价值，因为它们可以充当综合工作的渠道 由于以下原因，这是完成一些最有前途和前瞻性的癌症研究所必需的。 然而，由于这些领域内培训的性质，调查人员进行培训的机会有限 为了帮助解决这个问题，我们在这里提出了连接这些学科的知识。 继续该 T32 计划，提供计算基因组流行病学博士后培训 凯斯综合癌症中心癌症中心 (CoGEC) CoGEC 培训计划定义了一种新颖的、 癌症研究、流行病学、生物统计学、遗传学、 该计划的结构由三个关键要求定义：首先，所有学员都将。 有机会修读由五门课程组成的专业核心课程，以填补之前课程的空白 其次，学员将接受额外的教学经验选择。 第三，所有学员都将获得补充的研究经验。 与多位导师合作开展癌症项目的高水平计算基因组流行病学。 作为这项研究经验的延伸，每位受训者都需要撰写并捍卫 NIH 拨款 接受该计划培训的癌症研究人员将拥有破译该计划的重要技能。 包括疾病遗传和环境风险因素的复杂途径。在此过程中，他们的知识。 研究结果将转化为更好的癌症理解、预防和治疗。

项目成果

Dynamic microbial populations along the Cuyahoga River.

凯霍加河沿岸动态微生物种群。

• 发表时间: 2017
• 影响因子: 3.7
• 作者: Cannon, Matthew V;Craine, Joseph;Hester, James;Shalkhauser, Amanda;Chan, Ernest R;Logue, Kyle;Small, Scott;Serre, David
• 通讯作者: Serre, David

Novel Hot and Cold Spots of Young-Onset Colorectal Cancer Mortality in United States Counties.

美国各县年轻发病结直肠癌死亡率的新热点和冷点。

• 发表时间: 2022-10
• 影响因子: 29.4
• 作者: Buchalter, R Blake;Kamath, Suneel D;Nair, Kanika G;Liska, David;Khorana, Alok A;Schmit, Stephanie L
• 通讯作者: Schmit, Stephanie L

In silico assessment of primers for eDNA studies using PrimerTree and application to characterize the biodiversity surrounding the Cuyahoga River.

使用 PrimerTree 对 eDNA 研究引物进行计算机评估，并应用来表征凯霍加河周围的生物多样性。

• 发表时间: 2016-03-11
• 影响因子: 4.6
• 作者: Cannon, M V;Hester, J;Shalkhauser, A;Chan, E R;Logue, K;Small, S T;Serre, D
• 通讯作者: Serre, D

Geographic hot spots of kidney transplant candidates wait-listed post-dialysis.

肾移植候选者的地理热点在透析后排队等候。

• 发表时间: 2022-12
• 影响因子: 2.1
• 作者: Buchalter, R Blake;Huml, Anne M;Poggio, Emilio D;Schold, Jesse D
• 通讯作者: Schold, Jesse D

Sexually dimorphic impact of the iron-regulating gene, HFE, on survival in glioblastoma.

铁调节基因 HFE 的性别二态性对胶质母细胞瘤生存的影响。

• 发表时间: 2020-01
• 作者: Nesterova, Darya S;Midya, Vishal;Zacharia, Brad E;Proctor, Elizabeth A;Lee, Sang Y;Stetson, Lindsay C;Lathia, Justin D;Rubin, Joshua B;Waite, Kristin A;Berens, Michael E;Barnholtz;Connor, James R
• 通讯作者: Connor, James R