Autor: |
Vicard, P., Dawid, A.P., Mortera, J., Lauritzen, Steffen Lilholt |
Jazyk: |
angličtina |
Rok vydání: |
2004 |
Zdroj: |
Vicard, P, Dawid, A P, Mortera, J & Lauritzen, S L 2004, Estimation of mutation rates from paternity cases using a Bayesian network . Research Report Series, no. 249, Department of Computer Science, Aalborg University, Department of Statistical Science . |
Popis: |
We present a statistical model and methodology for making inferences about mutation rates from paternity casework. This takes proper account of a number of sources of potential bias, including hidden mutation, incomplete family triplets, uncertain paternity status and differing maternal and paternal mutation rates, while allowing a wide variety of mutation models. A Bayesian network is constructed to facilitate computation of the likelihood function for the mutation parameters. It can process both full and summary genotypic information, from both complete putative father-mother-child triplets and defective cases where only the child and one of its parents are observed. Detailed analysis of a specific dataset is used to illustrate the effects of the various types of biases, and of the assumed mutation model, on inferences about mutation parameters. We present a statistical model and methodology for making inferences about mutation rates from paternity casework. This takes proper account of a number of sources of potential bias, including hidden mutation, incomplete family triplets, uncertain paternity status and differing maternal and paternal mutation rates, while allowing a wide variety of mutation models. A Bayesian network is constructed to facilitate computation of the likelihood function for the mutation parameters. It can process both full and summary genotypic information, from both complete putative father-mother-child triplets and defective cases where only the child and one of its parents are observed. Detailed analysis of a specific dataset is used to illustrate the effects of the various types of biases, and of the assumed mutation model, on inferences about mutation parameters. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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