Assessment of clinical validity of a breast cancer risk model combining genetic and clinical information.

Publication Type:

Journal Article

Source:

Journal of the National Cancer Institute, Volume 102, Issue 21, p.1618-27 (2010)

Keywords:

2010, Age Factors, Age of Onset, Aged, Area Under Curve, Biopsy, Breast Neoplasms, Case-Control Studies, Center-Authored Paper, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Humans, Linear Models, Logistic Models, Mass Screening, Menarche, Middle Aged, Models, Statistical, Odds Ratio, Parturition, Polymorphism, Single Nucleotide, Postmenopause, Predictive Value of Tests, Public Health Sciences Division, Receptors, Estrogen, Reproducibility of Results, Risk Assessment, Risk Factors, ROC Curve, Shared Resources, Specimen Processing Core Facility, Tumor Markers, Biological

Abstract:

The Gail model is widely used for the assessment of risk of invasive breast cancer based on recognized clinical risk factors. In recent years, a substantial number of single-nucleotide polymorphisms (SNPs) associated with breast cancer risk have been identified. However, it remains unclear how to effectively integrate clinical and genetic risk factors for risk assessment.