Epidemiology in the Age of Genomics & Big Data: Applications to Cancer

Genomics|Update|Current

Epidemiology in the Age of Genomics & Big Data: Applications to Cancer

New CDC paper: The next generation of large-scale epidemiologic research: Implications for training cancer epidemiologists
Margaret R. Spitz et al.  American Journal of Epidemiology, September 18, 2014

New CDC editorial: A primer series on -omic technologies for the practice of epidemiology
Muin J. Khoury. American Journal of Epidemiology, June 24, 2014

Design and analysis of metabolomics studies in epidemiological research: A primer on -omic technologies.
Ioanna Tzoulaki et al. American Journal of Epidemiology, June 24, 2014

Design and analysis for studying microRNAs in human disease: A primer on -omic technologies.
Viswam S. Nair et al. American Journal of Epidemiology, June 24, 2014 

Is integrative epidemiology next generation epidemiology? NCI Cancer Epidemiology blog post (2014)

Integrative cancer epidemiology - The next generation,
Margaret R. Spitz et al. Cancer Discovery (December 2013)

Opportunities and challenges for selected emerging technologies in cancer epidemiology: Mitochondrial, epigenomic, metabolomic, and telomerase profiling.
Mukesh Verma et al. Cancer Epidemiology, Biomarkers and Prevention (2013)

Epigenetic research in cancer epidemiology: Trends, opportunities, and challenges.
Mukesh Verma et al. Cancer Epidemiology Biomarkers and Prevention (2014)

NCI-CDC paper: Transforming epidemiology for 21st century population health in the age of genomics and big data, CEBP (2013)