Colorectal cancer (CRC) is a multifactorial complex disease with both genetic and environmental factors contributing to the etiology of this severe disease. First results from genome-wide association studies (GWAS) have demonstrated considerable success in identifying new loci in common complex diseases, including CRC and additional loci are expected to be identified through combined analyses of individual GWAS. as proposed in Area 1 of our proposal. However, to fully explore the impact of common genetic variants on the risk of CRC it will be important to explore interactions between genetic variants as well as between genetic variants and environmental risk factors. CRC is associated with several modifiable environmental factors, such as obesity, physical activity, aspirin use, smoking and diet providing the opportunity to test gene-environment (GxE) interactions and potentially provide targeted intervention. To expedite the translation of these findings into the clinic and public health it is critical to understand the penetrance of the newly identified loci and develop and validate risk models, including both environmental and genetic risk factors. To comprehensively explore these questions we propose the following specific aims;(1) To investigate whether associations with genetic variants are modified by environmental risk factors for CRC, including age, sex, family history of CRC, obesity, physical activity, non-steroidal antiinflammatory drugs, postmenopausal hormone use, folate, calcium, red meat, alcohol, and smoking. This will entail both scanning across the genome for GxE interactions in four GWAS and a large replication in independent study populations. (2) To determine the penetrance and population attributable risk of all identified CRC susceptibility loci within both high risk family and population-based studies. (3) To develop complex risk models that incorporate genetic variants identified in Area 1 and 2 along with environmental risk factors in population-based and prospective studies. As part of this aim we will evaluate the clinical and public health validity of these risk models. This Consortium provides an unprecedented opportunity to accelerate the translation of GWAS findings for CRC into the clinic and public health. The expertise of our transdisciplinary team, the large sample size, and the detailed exposure ascertainment in population-based and prospective studies provide a unique resource for integrative post-GWAS discovery research. We are facing a time of premature use of GWAS findings for genetic testing that will likely lead to confusion in our community. Comprehensive evaluation and characterization of GWAS findings with respect to interactions with environmental risk factors, penetrance, and risk models is needed to provide a rigorous knowledge base for targeted public health and clinical interventions.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19CA148107-04
Application #
8548278
Study Section
Special Emphasis Panel (ZCA1-SRLB-4)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
4
Fiscal Year
2013
Total Cost
$535,777
Indirect Cost
Name
University of Southern California
Department
Type
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Neumeyer, Sonja; Banbury, Barbara L; Arndt, Volker et al. (2018) Mendelian randomisation study of age at menarche and age at menopause and the risk of colorectal cancer. Br J Cancer 118:1639-1647
Jenkins, Mark A; Win, Aung Ko; Templeton, Allyson S et al. (2018) Cohort Profile: The Colon Cancer Family Registry Cohort (CCFRC). Int J Epidemiol 47:387-388i
Thomas, Duncan C (2017) Estimating the Effect of Targeted Screening Strategies: An Application to Colonoscopy and Colorectal Cancer. Epidemiology 28:470-478
Toth, Reka; Scherer, Dominique; Kelemen, Linda E et al. (2017) Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium. Cancer Epidemiol Biomarkers Prev 26:816-825
Gu, Fangyi; Zhang, Han; Hyland, Paula L et al. (2017) Inherited variation in circadian rhythm genes and risks of prostate cancer and three other cancer sites in combined cancer consortia. Int J Cancer 141:1794-1802
Thomas, Duncan C (2017) What Does ""Precision Medicine"" Have to Say About Prevention? Epidemiology 28:479-483
Zhang, Tian-Xiao; Saccone, Nancy L; Bierut, Laura J et al. (2017) Targeted sequencing identifies genetic polymorphisms of flavin-containing monooxygenase genes contributing to susceptibility of nicotine dependence in European American and African American. Brain Behav 7:e00651
Amos, Christopher I; Dennis, Joe; Wang, Zhaoming et al. (2017) The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers. Cancer Epidemiol Biomarkers Prev 26:126-135
Feng, Yen-Chen Anne; Cho, Kelly; Lindstrom, Sara et al. (2017) Investigating the genetic relationship between Alzheimer's disease and cancer using GWAS summary statistics. Hum Genet 136:1341-1351
Wang, Hansong; Schmit, Stephanie L; Haiman, Christopher A et al. (2017) Novel colon cancer susceptibility variants identified from a genome-wide association study in African Americans. Int J Cancer 140:2728-2733

Showing the most recent 10 out of 63 publications