The goal of the postdoctoral Mayo Cancer Genetic Epidemiology Training Program (MCGETP) renewal is to produce investigators capable of developing an independent academic career in the evolving arena of cancer research that transects the disciplines of genomics, epidemiology, statistical genetics and bio- and clinical informatics. This training will converge and integrate multiple disciplines, which is critical to met the challenges of bridging the laboratory-translational interface, and to stimulate improvements in cancer detection, prevention, and treatment. Mayo Clinic is a highly respected center for medical training, research, and patient care, and has proven to be an outstanding environment for nurturing such integrated training over the past 10 years of this training program. The clinic environment and medical record infrastructure provide unique opportunities to couple existing information on a well-annotated practice with genomic, molecular and pathology data on tens of thousands of patients, and to perform research that will inform the practice of personalized medicine. Further, the resources of the Mayo Clinic Comprehensive Cancer Center and the Center for Translational Science Activities are available to this program. We seek continuing support for the MCGETP to provide three-year interdisciplinary training experiences for three types of postdoctoral trainees (doctoral level individuals prepared in a) laboratory-based research, b) medicine, or c) epidemiology, statistical genetics, informatics). Two Advisory Committees composed of senior faculty and external advisors will provide oversight. The MCGETP will ensure an integrated didactic education through a specialized core curriculum;opportunities through additional intramural and extramural courses and workshops in cancer biology, epigenetics, genetic epidemiology, bioinformatics, statistical genetics;and an individualized mentoring program that includes development of original research for grant applications. Each trainee is also integrated into highly interactive multidisciplinary tumor working groups at Mayo to enhance their research experience. The co- mentoring structure for each trainee ensures that they receive the benefit of multiple research perspectives and opportunities. The base of 38 faculty/mentors include nationally and internationally known investigators in their respective fields, who have a track record of funding and demonstrated excellence in mentoring junior investigators. Evaluation of trainees is performed on a regular basis, and they are expected to generate a research grant proposal that would be suitable for submission for competitive funding. Thus, through the MCGETP, trainees will be prepared to combine laboratory-based genomics research with clinical and population sciences studies. In turn, this will address a major need for cancer investigators with genetic and molecular epidemiology expertise who can best exploit and integrate rapidly developing genomic and analytic technology for improved detection, prevention, and treatment of cancer.
The postdoctoral Mayo Cancer Genetic Epidemiology Training Program (MCGETP) seeks to produce investigators capable of developing an independent academic career in the rapidly evolving arena of cancer research that transects the disciplines of genomics, epidemiology, statistical genetics, bioinformatics, and clinical informatics. MCGETP will address a major need for cancer investigators with genetic and molecular epidemiology expertise who can best exploit rapidly developing omic, bioinformatics, and analytic technology and complex data to improve our approaches to cancer prevention and care.
|Lilyquist, Jenna; White, Kirsten Anne Meyer; Lee, Rebecca J et al. (2017) Quantitative Analysis of Immunohistochemistry in Melanoma Tumors. Medicine (Baltimore) 96:e6432|
|Slavin, Thomas P; Maxwell, Kara N; Lilyquist, Jenna et al. (2017) The contribution of pathogenic variants in breast cancer susceptibility genes to familial breast cancer risk. NPJ Breast Cancer 3:22|
|Earp, Madalene A; Raghavan, Rama; Li, Qian et al. (2017) Characterization of fusion genes in common and rare epithelial ovarian cancer histologic subtypes. Oncotarget 8:46891-46899|
|Yellow, Winta; Bamlet, William R; Oberg, Ann L et al. (2017) Association between Alcohol Consumption, Folate Intake, and Risk of Pancreatic Cancer: A Case-Control Study. Nutrients 9:|
|Lilyquist, Jenna; LaDuca, Holly; Polley, Eric et al. (2017) Frequency of mutations in a large series of clinically ascertained ovarian cancer cases tested on multi-gene panels compared to reference controls. Gynecol Oncol 147:375-380|
|Antwi, Samuel O; Bamlet, William R; Broderick, Brendan T et al. (2017) Genetically Predicted Telomere Length is not Associated with Pancreatic Cancer Risk. Cancer Epidemiol Biomarkers Prev 26:971-974|
|Kayima, J; Liang, J; Natanzon, Y et al. (2017) Association of genetic variation with blood pressure traits among East Africans. Clin Genet 92:487-494|
|Antwi, Samuel O; Eckel-Passow, Jeanette E; Diehl, Nancy D et al. (2017) Coffee consumption and risk of renal cell carcinoma. Cancer Causes Control 28:857-866|
|Phelan, Catherine M (see original citation for additional authors) (2017) Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer. Nat Genet 49:680-691|
|Antwi, Samuel O; Boardman, Lisa A; Petersen, Gloria M (2017) Telomere Length and Pancreatic Cancer Risk-Reply. Cancer Epidemiol Biomarkers Prev 26:1158-1159|
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