About Risk Prediction Models

Cancer risk prediction models can be divided into two main categories:

• Absolute Risk Assessment Models: These models estimate the probability of developing cancer over a defined period of time (e.g., 5 years).
• Genetic Susceptibility Risk Models: These models estimate the likelihood of detecting a mutation in a cancer susceptibility gene (e.g., BRCA1 and BRCA2) in a given family or individual.

The following risk prediction models (either absolute risk assessment or genetic susceptibility risk prediction models) are grouped by cancer site and whether their methodology and results have been peer-reviewed.

• Peer-reviewed models
• Breast cancer
• Colorectal cancer
• Lung cancer
• Melanoma
• Ovarian cancer
• Prostate cancer
• Cervical cancer
• Pancreatic cancer
• Bladder cancer
• Other cancers or multiple sites
• Non-peer-reviewed models