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Breast cancer risk prediction using clinical models and 77 independent risk-associated SNPs for women aged under 50 years: Australian Breast Cancer Family Registry

BACKGROUND: The extent to which clinical breast cancer risk prediction models can be improved by including information on known susceptibility single nucleotide polymorphisms (SNPs) is not known. METHODS: Using 750 cases and 405 controls from the population-based Australian Breast Cancer Family Regi...

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Bibliografische gegevens
Gepubliceerd in:Cancer Epidemiol Biomarkers Prev
Hoofdauteurs: Dite, Gillian S., MacInnis, Robert J., Bickerstaffe, Adrian, Dowty, James G., Allman, Richard, Apicella, Carmel, Milne, Roger L., Tsimiklis, Helen, Phillips, Kelly-Anne, Giles, Graham G., Terry, Mary Beth, Southey, Melissa C., Hopper, John L.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2015
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4767544/
https://ncbi.nlm.nih.gov/pubmed/26677205
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/1055-9965.EPI-15-0838
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