Bayesian risk assessment in genetic testing for autosomal dominant disorders with age-dependent penetrance.
Risk assessment is an essential component of genetic counseling and testing, and the accuracy of risk assessment is critical for decision making by consultands. However, it has been shown that genetic risk calculations may have high error rates in practice. Risk calculations for autosomal dominant disorders are frequently complicated by age-dependent penetrance and sensitivities of less than 100% in genetic testing. We provide methods of risk calculation for prototypical pedigrees of a family at risk for an autosomal dominant disorder with age-dependent penetrance. Our risk calculations include scenarios in which the sensitivity of genetic testing is less than 100%, and in which the sensitivity of genetic testing varies for different family members at risk. Our Bayesian methods permit autosomal dominant disease probabilities to be calculated accurately, taking into account all relevant information. Our methods are particularly useful for hereditary cancer syndromes, in which genetic testing can seldom achieve 100% sensitivity. Our methods can be applied to many different scenarios, including those where the sensitivity of genetic testing varies for different family members at risk.
Ogino
Shuji
S
Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. shuji_ogino@dfci.harvard.edu
Wilson
Robert B
RB
Gold
Bert
B
Flodman
Pamela
P
D017668:Age of Onset; D001499:Bayes Theorem; D005260:Female; D005799:Genes, Dominant; D030342:Genetic Diseases, Inborn / Q000235:genetics*; D005820:Genetic Testing; D006801:Humans; D008297:Male; D009154:Mutation; D010375:Pedigree; D011336:Probability; D018570:Risk Assessment