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Genomics|Features|Cancer Epidemiology

Cancer Epidemiology

Cancer Epidemiology: Recent Insights from Genomics and Beyond - May 22, 2015

CDC and Related Info

• The next generation of large-scale epidemiologic research: Implications for training cancer epidemiologistsMargaret R. Spitz et al. American Journal of Epidemiology, September 18, 2014
• A primer series on -omic technologies for the practice of epidemiologyMuin J. Khoury.American Journal of Epidemiology, June 24, 2014
• Transforming epidemiology for 21st century population health in the age of genomics and big data,CEBP (2013)

The impact of DNA input amount and DNA source on the performance of whole-exome sequencing in cancer epidemiology

Zhu W et al. CEBP, May 2015

Proceedings of the second international molecular pathological epidemiology (MPE) meeting.

Ogino S et al. Cancer Causes Control 2015 May 9.

Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival.

Suo C et al. Bioinformatics 2015 Mar 24.

Telomere length and common disease: study design and analytical challenges.

Barrett JH et al. Hum. Genet. 2015 May 19.

Applying molecular epidemiology in pediatric Leukemia.

Schiffman JD et al. J. Investig. Med. 2015 May 13

Molecular epidemiology, and possible real-world applications in breast cancer.

Ito H et al. Breast Cancer 2015 Apr 11.

Future of Epidemiology: Assessing New Genome-based Technologies - January 20, 2015

Celebrating the 30th anniversary of genetic epidemiology: How to define our scope?

Ziegler A, König IR. Genet Epidemiol. 2014 Jul;38(5):379-80.

Expanding epigenomics to archived FFPE tissues: An evaluation of dna repair methodologies.

Erin M. Siegel et al. Cancer Epidemiol Biomarkers Prev December 2014 23:12 2622-2631;

Suitability of circulating miRNAs as potential prognostic markers in colorectal cancer.

Jonas Ristau et al.  Cancer Epidemiol Biomarkers Prev December 2014 23:12 2632-2637;

Quantification of circulating miRNAs by droplet digital PCR: Comparison of evagreen- and taqman-based chemistries.

Elena Miotto, et al.  Cancer Epidemiol Biomarkers Prev December 2014 23:12 2638-2642;

Effects of preanalytic variables on circulating microRNAs in whole blood.

Hua Zhao, et al.  Cancer Epidemiol Biomarkers Prev December 2014 23:12 2643-2648; 

Assay reproducibility and interindividual variation for 15 serum estrogens and estrogen metabolites measured by liquid chromatography–tandem mass spectrometry.

Barbara J. Fuhrman et al.  Cancer Epidemiol Biomarkers Prev December 2014 23:12 2649-2657;

Improving power to detect changes in blood mirna expression by accounting for sources of variability in experimental designs.

Sarah I. Daniels, et al. Cancer Epidemiol Biomarkers Prev December 2014 23:12 2658-2666;

Measurement of telomere length: A new assay using quantigene chemistry on a Luminex platform.

Muhammad G. Kibriya, et al.  Cancer Epidemiol Biomarkers Prev December 2014 23:12 2667-2672;

Usefulness of saliva samples for biomarker studies in radiation research.

Eileen Pernot, et al. Cancer Epidemiol Biomarkers Prev December 2014 23:12 2673-2680;

SEER Cancer Registry biospecimen research: Yesterday and tomorrow.

Sean F. Altekruse, et al. Cancer Epidemiol Biomarkers Prev December 2014 23:12 2681-2687;

DNA from nails for genetic analyses in large-scale epidemiologic studies.

Janneke G.F. Hogervorst, et al. Cancer Epidemiol Biomarkers Prev December 2014 23:12 2703-2712;

The landscape of microRNA, piwi-interacting RNA, and circular RNA in human saliva

Jae Hoon Bahn et al. Clinical Chemistry, January 2015

Epidemiology in the Age of Genomics & Big Data: Applications to Cancer - October 9, 2014

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)