Cargando…
Evaluation of a genetic risk score computed using human chromosomal-scale length variation to predict breast cancer
INTRODUCTION: The ability to accurately predict whether a woman will develop breast cancer later in her life, should reduce the number of breast cancer deaths. Different predictive models exist for breast cancer based on family history, BRCA status, and SNP analysis. The best of these models has an...
Autores principales: | Ko, Charmeine, Brody, James P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273758/ https://www.ncbi.nlm.nih.gov/pubmed/37328908 http://dx.doi.org/10.1186/s40246-023-00482-8 |
Ejemplares similares
-
Genetic risk score for ovarian cancer based on chromosomal-scale length variation
por: Toh, Christopher, et al.
Publicado: (2021) -
A genetic risk score using human chromosomal-scale length variation can predict schizophrenia
por: Toh, Christopher, et al.
Publicado: (2021) -
Evaluation of a genetic risk score for severity of COVID-19 using human chromosomal-scale length variation
por: Toh, Christopher, et al.
Publicado: (2020) -
Genetic Risk Scores and Missing Heritability in Ovarian Cancer
por: Fatapour, Yasaman, et al.
Publicado: (2023) -
Genetic Variation in Telomere Maintenance Genes, Telomere Length and Breast Cancer Risk
por: Shen, Jing, et al.
Publicado: (2012)