The goals of the Genetic Epidemiology and Risk Assessment (GERA) Program are to: 1) Utilize the tremendous advances in genetics and molecular biology in order to understand genetic, environmental, and gene-environment interactions in the etiology of cancer in human populations;2) Utilize these same advances in order to understand the molecular epidemiology of cancer prognosis and survivorship;and 3) Develop and apply novel statistical and informatics methods for the design and analysis of genetic and molecular epidemiology studies. Our cancer etiology studies use family-based, case-control and cohort study designs and focus on the genetic epidemiology of cancer, premalignant conditions, and intermediate phenotypes, as well as non-genetic risk factors and descriptive epidemiology. We are also addressing etiologic heterogeneity based on tumor phenotype. Our cancer prognosis research focuses on host factors, including genetic and serum biomarkers as well as lifestyle factors that influence prognosis;tumor biomarkers;and survivorship. Novel methods for the design and analysis of genetic and molecular epidemiologic studies are being developed, building on our expertise in biostatistics, medical informatics and bioinformatics. To achieve these goals we have assembled a team of 32 multidisciplinary investigators from over 10 divisions or departments. Total peer-reviewed funding is $8.81 M from 32.6 assigned grants, with 71% coming from the National Cancer Institute. Since 2008, the program has generated 622 publications, 43% reflecting intra-programmatic collaborations and 61% reflecting inter-programmatic collaborations. Notable contributions have been made in the epidemiology of pancreatic, lung, ovarian, breast, colon, lymphoma, and mammographic breast density, as well as to the statistical genetics and medical and bioinformatics literature. Leadership of the program is provided by Drs. Cerhan and Parker. The program makes extensive use of shared facilities. In the next 5 years, we will continue our innovative research in cancer etiology and prognosis with a focus on genomics, development and application of novel technologies and methods, and translation to the clinic and population as well as back to the lab to inform biology.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA015083-40
Application #
8682941
Study Section
Subcommittee G - Education (NCI)
Project Start
1997-04-25
Project End
2019-02-28
Budget Start
2014-07-11
Budget End
2015-02-28
Support Year
40
Fiscal Year
2014
Total Cost
$402,631
Indirect Cost
$149,608
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
Amirian, E Susan; Zhou, Renke; Wrensch, Margaret R et al. (2016) Approaching a Scientific Consensus on the Association between Allergies and Glioma Risk: A Report from the Glioma International Case-Control Study. Cancer Epidemiol Biomarkers Prev 25:282-90
Basch, Ethan; Rogak, Lauren J; Dueck, Amylou C (2016) Methods for Implementing and Reporting Patient-reported Outcome (PRO) Measures of Symptomatic Adverse Events in Cancer Clinical Trials. Clin Ther 38:821-30
Renner, Danielle N; Malo, Courtney S; Jin, Fang et al. (2016) Improved Treatment Efficacy of Antiangiogenic Therapy when Combined with Picornavirus Vaccination in the GL261 Glioma Model. Neurotherapeutics 13:226-36
Navari, Rudolph M; Qin, Rui; Ruddy, Kathryn J et al. (2016) Olanzapine for the Prevention of Chemotherapy-Induced Nausea and Vomiting. N Engl J Med 375:134-42
Basal, E; Ayeni, T; Zhang, Q et al. (2016) Patterns of Müllerian Inhibiting Substance Type II and Candidate Type I Receptors in Epithelial Ovarian Cancer. Curr Mol Med 16:222-31
Cuellar-Partida, Gabriel; Lu, Yi; Dixon, Suzanne C et al. (2016) Assessing the genetic architecture of epithelial ovarian cancer histological subtypes. Hum Genet 135:741-56
Ye, Zi; Austin, Erin; Schaid, Daniel J et al. (2016) A multi-locus genetic risk score for abdominal aortic aneurysm. Atherosclerosis 246:274-9
McCormack, Valerie A; Burton, Anya; dos-Santos-Silva, Isabel et al. (2016) International Consortium on Mammographic Density: Methodology and population diversity captured across 22 countries. Cancer Epidemiol 40:141-51
Kenkre, Vaishalee P; Hong, Fangxin; Cerhan, James R et al. (2016) Fc Gamma Receptor 3A and 2A Polymorphisms Do Not Predict Response to Rituximab in Follicular Lymphoma. Clin Cancer Res 22:821-6
Vaidhyanathan, Shruthi; Wilken-Resman, Brynna; Ma, Daniel J et al. (2016) Factors Influencing the Central Nervous System Distribution of a Novel Phosphoinositide 3-Kinase/Mammalian Target of Rapamycin Inhibitor GSK2126458: Implications for Overcoming Resistance with Combination Therapy for Melanoma Brain Metastases. J Pharmacol Exp Ther 356:251-9

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