title: Prediction of genetic risks from segregation analyses of morbid risks.
abstract: Segregation analysis provides a genetic model of disease based upon morbid risks in age-specific classes, from which the model derives genotype-specific morbid risks. In the absence of disease-specific mortality each morbid risk is a cumulative incidence (age-specific penetrance). If disease-specific mortality reduces the number of affected in the older classes, the morbid risk is less than the corresponding penetrance. When counselling individuals with a family history of disease, their genetic risk is a function of penetrances, which can be calculated from morbid risks. We have applied this method to breast, ovarian and colorectal cancer.
authors.affiliation: Department of Child Health, University of Southampton, UK.
authors.forename: D C
authors.initials: DC
authors.lastname: Shields
authors.forename: A J
authors.initials: AJ
authors.lastname: Marlow
authors.forename: R S
authors.initials: RS
authors.lastname: Houlston
authors.forename: D M
authors.initials: DM
authors.lastname: Eccles
authors.forename: N E
authors.initials: NE
authors.lastname: Morton
mesh_terms: D030342:Genetic Diseases, Inborn / Q000453:epidemiology*; D005838:Genotype; D006801:Humans; D008957:Models, Genetic; D011237:Predictive Value of Tests; D011336:Probability; D012307:Risk Factors