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 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 allow them to bring their scientific discoveries to light. Therefore, we propose to continue a highly successful 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 the Geisel School of Medicine and will be aligned with the mission of the Norris Cotton Cancer Center (NCCC), an NCI designated Comprehensive Cancer Center affiliated with the Geisel School of Medicine at Dartmouth and Dartmouth Hitchcock Medical Center (DHMC). The training efforts will continue to be led by established investigators with complementary expertise in the fields of bioinformatics, biostatistics and epidemiology within the Departments of Genetics and Community and Family Medicine, Section of Biostatistics and Epidemiology. We will capitalize on Dartmouth's expanded faculty in these disciplines who can offer expert mentorship, and an enlarging portfolio of research and center grants that can supply access to a wealth of population science data, biologic samples and core research facilities. 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 be paired with a primary and secondary mentor from two of the focus disciplines and complete cross-disciplinary coursework in the first year of the program. 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 symposia and scientific conferences. Program leaders, with consultation of an Advisory Committee, 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.

Public Health Relevance

We will continue our goal of improving the resources available for future cancer research by providing innovative interdisciplinary training for postdoctoral fellows. This program is designed to provide early career researchers with opportunities to integrate specialized research knowledge and methodologies within the fields of bioinformatics, biostatistics and epidemiology. Trainees will be positioned to expedite the translation of cancer science into public health practice as leaders on multidisciplinary research teams.

National Institute of Health (NIH)
Education Projects (R25)
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Subcommittee B - Comprehensiveness (NCI)
Program Officer
Perkins, Susan N
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Dartmouth College
Family Medicine
Schools of Medicine
United States
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Appleton, Allison A; Lester, Barry M; Armstrong, David A et al. (2015) Examining the joint contribution of placental NR3C1 and HSD11B2 methylation for infant neurobehavior. Psychoneuroendocrinology 52:32-42
Farzan, Shohreh F; Karagas, Margaret R; Christensen, Brock C et al. (2014) RNASEL and MIR146A SNP-SNP interaction as a susceptibility factor for non-melanoma skin cancer. PLoS One 9:e93602
Johnson, Kevin C; Koestler, Devin C; Cheng, Chao et al. (2014) Age-related DNA methylation in normal breast tissue and its relationship with invasive breast tumor methylation. Epigenetics 9:268-75
Davis, Matthew A; Li, Zhigang; Gilbert-Diamond, Diane et al. (2014) Infant toenails as a biomarker of in utero arsenic exposure. J Expo Sci Environ Epidemiol 24:467-73
Appleton, Allison A; Loucks, Eric B; Buka, Stephen L et al. (2014) Divergent associations of antecedent- and response-focused emotion regulation strategies with midlife cardiovascular disease risk. Ann Behav Med 48:246-55
Pattin, Kristine A; Greene, Anna C; Altman, Russ B et al. (2014) Building the next generation of quantitative biologists. Pac Symp Biocomput :417-21
Koestler, Devin C; Li, Jing; Baron, John A et al. (2014) Distinct patterns of DNA methylation in conventional adenomas involving the right and left colon. Mod Pathol 27:145-55
Payne, Joshua L; Moore, Jason H; Wagner, Andreas (2014) Robustness, evolvability, and the logic of genetic regulation. Artif Life 20:111-26
Appleton, Allison A; Buka, Stephen L; Loucks, Eric B et al. (2013) A prospective study of positive early-life psychosocial factors and favorable cardiovascular risk in adulthood. Circulation 127:905-12
Koestler, Devin C; Christensen, Brock C; Marsit, Carmen J et al. (2013) Recursively partitioned mixture model clustering of DNA methylation data using biologically informed correlation structures. Stat Appl Genet Mol Biol 12:225-40

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