Undertaking innovative cancer research can require input from teams of scientists with a mixture of backgrounds, including molecular biology, oncology, medicine, epidemiology, biostatistics, genomics/genetics, and computer science. 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 R25T program to provide postdoctoral training in the computational genetic epidemiology of cancer. This 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 take a specialized core curriculum of five courses that cover the individual disciplines as well as their intersections. 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 genetic epidemiology of cancer projects. As an extension of this research experience, each trainee will be required to write and defend a mock NIH 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, they will ultimately be able to provide clinicians and their patients with invaluable information for the prevention and treatment of cancer.
Training in Computational Genomic Epidemiology of Cancer defines a novel, transdisciplinary area of postdoctoral training at the intersection of cancer research, epidemiology, biostatistics, genetics, and computer science.
|Xu, Rong; Wang, QuanQiu (2014) Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection. BMC Bioinformatics 15:17|
|Xu, Rong; Li, Li; Wang, Quanqiu (2014) dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text. BMC Bioinformatics 15:105|
|Yava?, Gökhan; Koyutürk, Mehmet; Gould, Meetha P et al. (2014) DB2: a probabilistic approach for accurate detection of tandem duplication breakpoints using paired-end reads. BMC Genomics 15:175|
|Ortiz, Ana Patricia; Frias, Orquidea; Perez, Javier et al. (2013) Breast cancer molecular subtypes and survival in a hospital-based sample in Puerto Rico. Cancer Med 2:343-50|
|Benchek, Penny H; Morris, Nathan J (2013) How meaningful are heritability estimates of liability? Hum Genet 132:1351-60|
|Gonzalez, Lorena; Magno, Priscilla; Ortiz, Ana P et al. (2013) Esophageal cancer incidence rates by histological type and overall: Puerto Rico versus the United States Surveillance, Epidemiology, and End Results population, 1992-2005. Cancer Epidemiol 37:5-10|
|Torres-Cintron, Mariela; Ortiz, Ana P; Ortiz-Ortiz, Karen J et al. (2012) Using a socioeconomic position index to assess disparities in cancer incidence and mortality, Puerto Rico, 1995-2004. Prev Chronic Dis 9:E15|
|Ortiz, Ana Patricia; Lopez, Magdalena; Flores, Libertad T et al. (2011) Awareness of direct-to-consumer genetic tests and use of genetic tests among Puerto Rican adults, 2009. Prev Chronic Dis 8:A110|
|Torres-Cintron, Mariela; Ortiz, Ana P; Perez-Irizarry, Javier et al. (2010) Incidence and mortality of the leading cancer types in Puerto Rico: 1987-2004. P R Health Sci J 29:317-29|
|Thompson, Cheryl L; Plummer, Sarah J; Tucker, Thomas C et al. (2010) Interleukin-22 genetic polymorphisms and risk of colon cancer. Cancer Causes Control 21:1165-70|
Showing the most recent 10 out of 32 publications