Journal article
Using SNP genotypes to improve the discrimination of a simple breast cancer risk prediction model
Gillian S Dite, Maryam Mahmoodi, Adrian Bickerstaffe, Fleur Hammet, Robert J Macinnis, Helen Tsimiklis, James G Dowty, Carmel Apicella, Kelly-Anne Phillips, Graham G Giles, Melissa C Southey, John L Hopper
Breast Cancer Research and Treatment | SPRINGER | Published : 2013
Grants
Awarded by National Cancer Institute, National Institutes of Health, USA under RFA
Awarded by University of Melbourne, Australia
Awarded by Fox Chase Cancer Center, USA
Awarded by Huntsman Cancer Institute, USA
Awarded by Colombia University, USA
Awarded by Cancer Prevention Institute of California, USA
Awarded by Cancer Care Ontario, Canada
Funding Acknowledgements
The ABCFR has been supported in Australia by the National Health and Medical Research Council, the New South Wales Cancer Council, the Victorian Health Promotion Foundation, the Victorian Breast Cancer Research Consortium, Cancer Australia and the National Breast Cancer Foundation. The ABCFR has also been supported by the National Cancer Institute, National Institutes of Health, USA under RFA CA-06-503 and through cooperative agreements with members of the Breast Cancer Family Registry: The University of Melbourne, Australia (U01 CA69638); Fox Chase Cancer Center, USA (U01 CA69631); Huntsman Cancer Institute, USA (U01 CA69446); Colombia University, USA (U01 CA69398); Cancer Prevention Institute of California, USA (U01 CA69417); and Cancer Care Ontario, Canada (U01 CA69467). The content of this article does not necessarily reflect the views or policies of the National Cancer Institute or any of the collaborating centres of the Breast Cancer Family Registry. The mention of trade names, commercial products or organisations does not imply endorsement by the US government or the Breast Cancer Family Registry.KAP is supported by a National Breast Cancer Foundation Practitioner Fellowship.