Abstract

The proposed research seeks to expand our understanding of epithelial ovarian cancer through a coordinated and comprehensive approach that will focus on three main areas. The general themes are shown in Table A. 1. Table A.1 Scope of the proposed studies and expected outcomes. Focus Areas Discovery expansion and replication Biological studies Epidemiologic studies Expected outcomes ? New associations and independent replication ? New findings by histologic subtype ? New markers: copy number variants ? New endpoints: overall survival ? Identify functional consequences of variants ? Improve understanding of biological mechanisms ? Gene x gene interaction ? Gene x environment interaction ? Risk prediction models

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19CA148112-04
Application #
8504773
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
$305,598
Indirect Cost
$93,079

  Institution

Name
H. Lee Moffitt Cancer Center & Research Institute
Department
Type
DUNS #
139301956
City
Tampa
State
FL
Country
United States
Zip Code
33612

  Publications

O'Mara, Tracy A; Glubb, Dylan M; Amant, Frederic et al. (2018) Identification of nine new susceptibility loci for endometrial cancer. Nat Commun 9:3166
Rebbeck, Timothy R (see original citation for additional authors) (2018) Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations. Hum Mutat 39:593-620
Lu, Yingchang; Beeghly-Fadiel, Alicia; Wu, Lang et al. (2018) A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Res 78:5419-5430
Chenevix-Trench, Georgia; Beesley, Jonathan; Pharoah, Paul D P et al. (2018) The importance of using public data to validate reported associations. PLoS Genet 14:e1007416
Painter, Jodie N; O'Mara, Tracy A; Morris, Andrew P et al. (2018) Genetic overlap between endometriosis and endometrial cancer: evidence from cross-disease genetic correlation and GWAS meta-analyses. Cancer Med 7:1978-1987
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
Liu, Gang; Mukherjee, Bhramar; Lee, Seunggeun et al. (2018) Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. Am J Epidemiol 187:366-377
Yang, Yaohua; Wu, Lang; Shu, Xiang et al. (2018) Genetic data from nearly 63,000 women of European descent predicts DNA methylation biomarkers and epithelial ovarian cancer risk. Cancer Res :
Ong, Jue-Sheng; Hwang, Liang-Dar; Cuellar-Partida, Gabriel et al. (2018) Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study. Int J Epidemiol 47:450-459
Zuber, Verena; Jönsson, Erik G; Frei, Oleksandr et al. (2018) Identification of shared genetic variants between schizophrenia and lung cancer. Sci Rep 8:674

Showing the most recent 10 out of 152 publications