In 2006, Niedorf and colleagues developed a simple statistical model - called MELPREDICT - that predicts whether or not an individual carries a mutation in CDKN2A (publication here). This model requires three pieces of information to predict mutation status:

1. Age at first diagnosis with melanoma

2. Total number of primary melanoma diagnoses

3. Number of additional family members with melanoma.
   
   

Recent work by GenoMEL, the international melanoma consortium, showed that these three variables were important predictors of CDKN2A status using melanoma-prone families from across the globe. Having a personal or family history of pancreatic cancer also was an important predictor of CDKN2A status (publication here).

By answering the questions below and clicking the submit button, you will receive a percent or a range of percents indicating the probability that you carry a CDKN2A mutation.