title: Estimating CDKN2A carrier probability and personalizing cancer risk assessments in hereditary melanoma using MelaPRO.
abstract: Personalized cancer risk assessment remains an essential imperative in postgenomic cancer medicine. In hereditary melanoma, germline CDKN2A mutations have been reproducibly identified in melanoma-prone kindreds worldwide. However, genetic risk counseling for hereditary melanoma remains clinically challenging. To address this challenge, we developed and validated MelaPRO, an algorithm that provides germline CDKN2A mutation probabilities and melanoma risk to individuals from melanoma-prone families. MelaPRO builds on comprehensive genetic information, and uses Mendelian modeling to provide fine resolution and high accuracy. In an independent validation of 195 individuals from 167 families, MelaPRO exhibited good discrimination with a concordance index (C) of 0.86 [95% confidence intervals (95% CI), 0.75-0.97] and good calibration, with no significant difference between observed and predicted carriers (26; 95% CI, 20-35, as compared with 22 observed). In cross-validation, MelaPRO outperformed the existing predictive model MELPREDICT (C, 0.82; 95% CI, 0.61-0.93), with a difference of 0.05 (95% CI, 0.007-0.17). MelaPRO is a clinically accessible tool that can effectively provide personalized risk counseling for all members of hereditary melanoma families.
authors.affiliation: Stanford Genome Technology Center, Department of Biochemistry, Stanford University, Stanford, California, USA.
authors.forename: Wenyi
authors.initials: W
authors.lastname: Wang
authors.forename: Kristin B
authors.initials: KB
authors.lastname: Niendorf
authors.forename: Devanshi
authors.initials: D
authors.lastname: Patel
authors.forename: Amanda
authors.initials: A
authors.lastname: Blackford
authors.forename: Fabio
authors.initials: F
authors.lastname: Marroni
authors.forename: Arthur J
authors.initials: AJ
authors.lastname: Sober
authors.forename: Giovanni
authors.initials: G
authors.lastname: Parmigiani
authors.forename: Hensin
authors.initials: H
authors.lastname: Tsao
mesh_terms: D000328:Adult; D000465:Algorithms; D005260:Female; D019942:Genes, p16; D020022:Genetic Predisposition to Disease; D018095:Germ-Line Mutation; D006801:Humans; D008297:Male; D008545:Melanoma / Q000235:genetics*; D008875:Middle Aged; D008957:Models, Genetic; D010375:Pedigree; D019683:Penetrance; D015203:Reproducibility of Results; D018570:Risk Assessment