We present a statistical model and methodology for making inferencesabout mutation rates from paternity casework. This takes properaccount of a number of sources of potential bias, including hiddenmutation, incomplete family triplets, uncertain paternity status anddiffering maternal and paternal mutation rates, while allowing a widevariety of mutation models. A Bayesian network is constructed tofacilitate computation of the likelihood function for the mutationparameters. It can process both full and summary genotypicinformation, from both complete putative father-mother-child tripletsand defective cases where only the child and one of its parents areobserved.Detailed analysis of a specific dataset is used to illustrate theeffects of the various types of biases, and of the assumed mutationmodel, on inferences about mutation parameters.
Vicard, P., Dawid, A., Mortera, J., Lauritzen, S. (2004). Estimation of mutation rates from paternity cases using a Bayesian network.
Estimation of mutation rates from paternity cases using a Bayesian network
VICARD, Paola;MORTERA, Julia;
2004-01-01
Abstract
We present a statistical model and methodology for making inferencesabout mutation rates from paternity casework. This takes properaccount of a number of sources of potential bias, including hiddenmutation, incomplete family triplets, uncertain paternity status anddiffering maternal and paternal mutation rates, while allowing a widevariety of mutation models. A Bayesian network is constructed tofacilitate computation of the likelihood function for the mutationparameters. It can process both full and summary genotypicinformation, from both complete putative father-mother-child tripletsand defective cases where only the child and one of its parents areobserved.Detailed analysis of a specific dataset is used to illustrate theeffects of the various types of biases, and of the assumed mutationmodel, on inferences about mutation parameters.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.