Mayo Cancer Genetic Epidemiology Research Training Program. The mapping of the human genome will profoundly affect the practice of medical care. For cancer, the translation of genomics to disease detection, prevention, and treatment will require the training of a new cadre of investigators, armed with an understanding of cancer genetics and having proficiency in the application of methodologies to the study of human populations. The NCI's program announcement PAR-00-064, """"""""Cancer Education and Career Development Program"""""""" is ideally designed to fund the training of investigators who are sorely needed to help bridge the laboratory-population translational interface. Mayo Clinic is a highly respected center for medical training, research and patient care. The Mayo environment has the key elements needed for an outstanding training program in cancer genetic epidemiology research. With the proposed Mayo Cancer Genetic Epidemiology Research Training Program, we will build upon our Comprehensive Cancer Center and graduate education infrastructures to develop a combined didactic-mentored training program in cancer genetics and epidemiologic translational research. This proposed program would be available to epidemiologists, geneticists, biostatisticians, bioinformaticians, and clinicians. Such a training program currently does not exist at Mayo. The foundation for the program consists of a carefully crafted selection of didactic courses, the mentoring of each trainee by two faculty members - each from different disciplines, and a wide variety of research experiences made available through our large base of funded cancer research studies. The mentors are nationally and internationally known in their respective fields, have a track record of consistent funding, and have demonstrated excellence in mentoring junior investigators. Each trainee will be integrated with long-standing multidisciplinary tumor groups at Mayo to enhance their research experience. This program will allow us to train investigators from diverse backgrounds in complementary disciplines and enculture them on multidisciplinary investigations in which laboratory-based genetics research is translated to population science studies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Education Projects (R25)
Project #
1R25CA092049-01
Application #
6364684
Study Section
Subcommittee G - Education (NCI)
Program Officer
Myrick, Dorkina C
Project Start
2001-08-03
Project End
2006-07-31
Budget Start
2001-08-03
Budget End
2002-07-31
Support Year
1
Fiscal Year
2001
Total Cost
$418,001
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
City
Rochester
State
MN
Country
United States
Zip Code
55905
Leon-Ferre, Roberto A; Polley, Mei-Yin; Liu, Heshan et al. (2018) Impact of histopathology, tumor-infiltrating lymphocytes, and adjuvant chemotherapy on prognosis of triple-negative breast cancer. Breast Cancer Res Treat 167:89-99
Orlenko, Alena; Moore, Jason H; Orzechowski, Patryk et al. (2018) Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. Pac Symp Biocomput 23:460-471
Sucheston-Campbell, Lara E; Clay-Gilmour, Alyssa I; Barlow, William E et al. (2018) Genome-wide meta-analyses identifies novel taxane-induced peripheral neuropathy-associated loci. Pharmacogenet Genomics 28:49-55
Breitenstein, Matthew K; Liu, Hongfang; Maxwell, Kara N et al. (2018) Electronic Health Record Phenotypes for Precision Medicine: Perspectives and Caveats From Treatment of Breast Cancer at a Single Institution. Clin Transl Sci 11:85-92
Natanzon, Yanina; Earp, Madalene; Cunningham, Julie M et al. (2018) Genomic Analysis Using Regularized Regression in High-Grade Serous Ovarian Cancer. Cancer Inform 17:1176935118755341
Lilyquist, Jenna; Ruddy, Kathryn J; Vachon, Celine M et al. (2018) Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future. Cancer Epidemiol Biomarkers Prev 27:380-394
Natanzon, Yanina; Goode, Ellen L; Cunningham, Julie M (2018) Epigenetics in ovarian cancer. Semin Cancer Biol 51:160-169
Kleinstern, Geffen; Camp, Nicola J; Goldin, Lynn R et al. (2018) Association of polygenic risk score with the risk of chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis. Blood 131:2541-2551
Antwi, Samuel O; Petersen, Gloria M (2018) Leukocyte Telomere Length and Pancreatic Cancer Risk: Updated Epidemiologic Review. Pancreas 47:265-271
Zhu, Qianqian; Yan, Li; Liu, Qian et al. (2018) Exome chip analyses identify genes affecting mortality after HLA-matched unrelated-donor blood and marrow transplantation. Blood 131:2490-2499

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