Cargando…
Development of a Breast Cancer Risk Prediction Model Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Korean Women
BACKGROUND: To develop a breast cancer prediction model for Korean women using published polygenic risk scores (PRS) combined with nongenetic risk factors (NGRF). METHODS: Thirteen PRS models generated from single or multiple combinations of the Asian and European PRSs were evaluated among 20,434 Ko...
Autores principales: | Choi, Jihye, Ha, Tae-Woong, Choi, Hye-Mi, Lee, Han-Byoel, Shin, Hee-Chul, Chung, Woosung, Han, Wonshik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472098/ https://www.ncbi.nlm.nih.gov/pubmed/37310812 http://dx.doi.org/10.1158/1055-9965.EPI-23-0064 |
Ejemplares similares
-
Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Breast Cancer Risk Prediction Among Asian Women
por: Yang, Yaohua, et al.
Publicado: (2022) -
BOADICEA: a comprehensive breast cancer risk prediction model
incorporating genetic and nongenetic risk factors
por: Lee, Andrew, et al.
Publicado: (2019) -
The necessity of incorporating non-genetic risk factors into polygenic risk score models
por: van Dam, Sipko, et al.
Publicado: (2023) -
Correction: BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors
por: Lee, Andrew, et al.
Publicado: (2019) -
Incorporating Alternative Polygenic Risk Scores into the BOADICEA Breast Cancer Risk Prediction Model
por: Mavaddat, Nasim, et al.
Publicado: (2023)