This application is one of four submitted concurrently to allow large-scale analyses of breast and prostate cancer risk in relation to genetic polymorphisms and gene-environment interactions that affect hormone metabolism. These proposals combine the resources of six large prospective cohorts from the American Cancer Society (CPS-II study), Harvard University (Harvard Cohort Studies), the IARC (EPIC study), and the Universities of Hawaii and Southern California (Multiethnic cohort); in addition, two NCI intramural cohorts (PLCO and ATBC studies) will participate. The proposed study is unique in having prospective plasma samples, genetic material, anthropometric measurements, and extensive questionnaire data on diet, physical activity, exogenous hormone use, smoking, and other lifestyle factors from over 790,000 men and women. Because of the scope and collaborative nature of this consortium, simultaneous investigation of genetic predisposition and lifestyle factors is possible, to clarify the inter-relationships between, and the relative importance of, genetic and hormonal risk factors. Specifically, this study will define SNPs and haplotypes in steroid hormone metabolizing genes, genes in the IGF pathway, and related receptor proteins. These candidate genes will be resequenced in 96 cases of advanced breast cancer, and 96 cases of advanced prostate cancer, chosen from the European, African, Latino, Japanese, and Hawaiian-origin ethnic groups. Haplotype tag SNPs will be selected after genotyping of a larger number of SNPs from a collection of 768 samples from the multigenerational CEPH (Centre d'Etude du Polymorphisme Humain) pedigrees and human diversity collection, by the Whitehead Institute for Genome Research and CEPH, and will rapidly be made publicly available. The interaction of genetic variants with hormonal, lifestyle and anthropometric factors known to be associated with breast and prostate cancer will be examined. In a subset of studies, the association of these variants with markers of breast and prostate cancer risk (i.e. plasma steroid hormone levels and IGF-1 levels) will be investigated. Projects developed within the Cohort Consortium will foster continuing interactions between the genomic and epidemiologic research communities and help integrate the rapid advances in genomic research into large-scale epidemiologic studies. The ultimate goal is to provide the foundation for reducing the public health burden of these cancers. ? ?

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA098710-03
Application #
6951903
Study Section
Special Emphasis Panel (ZRG1-SNEM-5 (02))
Program Officer
Verma, Mukesh
Project Start
2003-06-19
Project End
2007-05-31
Budget Start
2005-06-01
Budget End
2006-05-31
Support Year
3
Fiscal Year
2005
Total Cost
$493,520
Indirect Cost
Name
American Cancer Society, Inc.
Department
Type
DUNS #
061207064
City
Atlanta
State
GA
Country
United States
Zip Code
30303
Mancuso, Nicholas; Gayther, Simon; Gusev, Alexander et al. (2018) Large-scale transcriptome-wide association study identifies new prostate cancer risk regions. Nat Commun 9:4079
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
Wang, Wen; Xu, Zack Z; Costanzo, Michael et al. (2017) Pathway-based discovery of genetic interactions in breast cancer. PLoS Genet 13:e1006973
Hoffman, Joshua D; Graff, Rebecca E; Emami, Nima C et al. (2017) Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk. PLoS Genet 13:e1006690
Dimitrakopoulou, Vasiliki I; Travis, Ruth C; Shui, Irene M et al. (2017) Interactions Between Genome-Wide Significant Genetic Variants and Circulating Concentrations of 25-Hydroxyvitamin D in Relation to Prostate Cancer Risk in the National Cancer Institute BPC3. Am J Epidemiol 185:452-464
Gao, Guimin; Pierce, Brandon L; Olopade, Olufunmilayo I et al. (2017) Trans-ethnic predicted expression genome-wide association analysis identifies a gene for estrogen receptor-negative breast cancer. PLoS Genet 13:e1006727
Southey, Melissa C (see original citation for additional authors) (2016) PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS. J Med Genet 53:800-811
Gaudet, Mia M; Barrdahl, Myrto; Lindström, Sara et al. (2016) Interactions between breast cancer susceptibility loci and menopausal hormone therapy in relationship to breast cancer in the Breast and Prostate Cancer Cohort Consortium. Breast Cancer Res Treat 155:531-40
Maas, Paige; Barrdahl, Myrto; Joshi, Amit D et al. (2016) Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States. JAMA Oncol 2:1295-1302
Rand, Kristin A; Rohland, Nadin; Tandon, Arti et al. (2016) Whole-exome sequencing of over 4100 men of African ancestry and prostate cancer risk. Hum Mol Genet 25:371-81

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