Cargando…
A streamlined model for use in clinical breast cancer risk assessment maintains predictive power and is further improved with inclusion of a polygenic risk score
Five-year absolute breast cancer risk prediction models are required to comply with national guidelines regarding risk reduction regimens. Models including the Gail model are under-utilized in the general population for various reasons, including difficulty in accurately completing some clinical fie...
Autores principales: | Allman, Richard, Spaeth, Erika, Lai, John, Gross, Susan J., Hopper, John L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822550/ https://www.ncbi.nlm.nih.gov/pubmed/33481864 http://dx.doi.org/10.1371/journal.pone.0245375 |
Ejemplares similares
-
Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic risk
por: Allman, Richard, et al.
Publicado: (2023) -
Melanoma risk prediction based on a polygenic risk score and clinical risk factors
por: Wong, Chi Kuen, et al.
Publicado: (2023) -
Polygenic risk scores for cardiovascular diseases and type 2 diabetes
por: Wong, Chi Kuen, et al.
Publicado: (2022) -
Validation of an Abridged Breast Cancer Risk Prediction Model for the General Population
por: Spaeth, Erika L., et al.
Publicado: (2023) -
Validation of a genetic risk score for Arkansas women of color
por: Starlard-Davenport, Athena, et al.
Publicado: (2018)