Journal article
Determining the familial risk distribution of colorectal cancer: a data mining approach
Rowena Chau, Mark A Jenkins, Daniel D Buchanan, Driss Ait Ouakrim, Graham G Giles, Graham Casey, Steven Gallinger, Robert W Haile, Loic Le Marchand, Polly A Newcomb, Noralane M Lindor, John L Hopper, Aung Ko Win
Familial Cancer | SPRINGER | Published : 2016
Related Projects (1)
Grants
Awarded by National Cancer Institute, National Institutes of Health (NIH)
Awarded by Australasian Colorectal Cancer Family Registry
Awarded by Mayo Clinic Cooperative Family Registry for Colon Cancer Studies
Awarded by Ontario Familial Colorectal Cancer Registry
Awarded by Seattle Colorectal Cancer Family Registry
Awarded by USC Consortium Colorectal Cancer Family Registry
Awarded by Surveillance, Epidemiology and End Results (SEER) Program of the National Cancer Institute
Awarded by National Cancer Institute's Surveillance, Epidemiology and End Results Program
Awarded by Centers for Disease Control and Prevention's National Program of Cancer Registries
Awarded by Centre for Research Excellence
Awarded by National Health and Medical Research Council (NHMRC), Australia
Funding Acknowledgements
This work was supported by Grant UM1 CA167551 from the National Cancer Institute, National Institutes of Health (NIH) and through cooperative agreements with the following Colon Cancer Family Registry (CCFR) centers: Australasian Colorectal Cancer Family Registry (U01/U24 CA097735), Mayo Clinic Cooperative Family Registry for Colon Cancer Studies (U01/U24 CA074800), Ontario Familial Colorectal Cancer Registry (U01/U24 CA074783), Seattle Colorectal Cancer Family Registry (U01/U24 CA074794), and USC Consortium Colorectal Cancer Family Registry (U01/U24 CA074799). Seattle CCFR research was also supported by the Cancer Surveillance System of the Fred Hutchinson Cancer Research Center, which was funded by Control Nos. N01-CN-67009 (1996-2003) and N01-PC-35142 (2003-2010) and Contract No. HHSN2612013000121 (2010-2017) from the Surveillance, Epidemiology and End Results (SEER) Program of the National Cancer Institute with additional support from the Fred Hutchinson Cancer Research Center. The collection of cancer incidence data used in this study was supported by the California Department of Public Health as part of the statewide cancer reporting program mandated by California Health and Safety Code Section 103885; the National Cancer Institute's Surveillance, Epidemiology and End Results Program under contract HHSN261201000035C awarded to the University of Southern California, and contract HHSN261201000034C awarded to the Public Health Institute; and the Centers for Disease Control and Prevention's National Program of Cancer Registries, under agreement U58DP003862-01 awarded to the California Department of Public Health. The ideas and opinions expressed herein are those of the author(s) and endorsement by the State of California, Department of Public Health the National Cancer Institute, and the Centers for Disease Control and Prevention or their Contractors and Subcontractors is not intended nor should be inferred. This work is also supported by Centre for Research Excellence grant APP1042021 and Program grant APP1074383 from National Health and Medical Research Council (NHMRC), Australia. AKW is a NHMRC Early Career Fellow. MAJ is an NHMRC Senior Research Fellow. JLH is a NHMRC Senior Principal Research Fellow. DDB is a University of Melbourne Research at Melbourne Accelerator Program (R@MAP) Senior Research Fellow.