A steroid metabolizing gene variant in a polyfactorial model improves risk prediction in a high incidence breast cancer population

BACKGROUND: We have combined functional gene polymorphisms with clinical factors to improve prediction and understanding of sporadic breast cancer risk, particularly within a high incidence Caucasian population. METHODS: A polyfactorial risk model (PFRM) was built from both clinical data and functio...

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Detalles Bibliográficos
Autores principales: Jupe, Eldon R., Dalessandri, Kathie M., Mulvihill, John J., Miike, Rei, Knowlton, Nicholas S., Pugh, Thomas W., Zhao, Lue Ping, DeFreese, Daniele C., Manjeshwar, Sharmila, Gramling, Bobby A., Wiencke, John K., Benz, Christopher C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4633888/
https://www.ncbi.nlm.nih.gov/pubmed/26673457
http://dx.doi.org/10.1016/j.bbacli.2014.11.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4633888/
https://www.ncbi.nlm.nih.gov/pubmed/26673457
http://dx.doi.org/10.1016/j.bbacli.2014.11.001

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