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 #
5U01CA098758-04
Application #
7093180
Study Section
Special Emphasis Panel (ZRG1-SNEM-5 (02))
Program Officer
Verma, Mukesh
Project Start
2003-06-05
Project End
2007-09-29
Budget Start
2006-06-01
Budget End
2007-09-29
Support Year
4
Fiscal Year
2006
Total Cost
$1,663,137
Indirect Cost
Name
University of Southern California
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Gong, J; Nishimura, K K; Fernandez-Rhodes, L et al. (2018) Trans-ethnic analysis of metabochip data identifies two new loci associated with BMI. Int J Obes (Lond) 42:384-390
Silvestrov, Pavel; Maier, Sarah J; Fang, Michelle et al. (2018) DNArCdb: A database of cancer biomarkers in DNA repair genes that includes variants related to multiple cancer phenotypes. DNA Repair (Amst) 70:10-17
Kocarnik, Jonathan M; Richard, Melissa; Graff, Misa et al. (2018) Discovery, fine-mapping, and conditional analyses of genetic variants associated with C-reactive protein in multiethnic populations using the Metabochip in the Population Architecture using Genomics and Epidemiology (PAGE) study. Hum Mol Genet 27:2940-2953
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
Justice, Anne E (see original citation for additional authors) (2017) Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat Commun 8:14977
Yoneyama, S; Yao, J; Guo, X et al. (2017) Generalization and fine mapping of European ancestry-based central adiposity variants in African ancestry populations. Int J Obes (Lond) 41:324-331
Milne, Roger L (see original citation for additional authors) (2017) Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nat Genet 49:1767-1778
Fernández-Rhodes, Lindsay; Gong, Jian; Haessler, Jeffrey et al. (2017) Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) Study reveals evidence for multiple signals at established loci. Hum Genet 136:771-800
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

Showing the most recent 10 out of 145 publications