title: Object-oriented Bayesian networks for paternity cases with allelic dependencies.
abstract: This study extends the current use of Bayesian networks by incorporating the effects of allelic dependencies in paternity calculations. The use of object-oriented networks greatly simplify the process of building and interpreting forensic identification models, allowing researchers to solve new, more complex problems. We explore two paternity examples: the most common scenario where DNA evidence is available from the alleged father, the mother and the child; a more complex casewhere DNA is not available from the alleged father, but is available from the alleged father's brother. Object-oriented networks are built, using HUGIN, for each example which incorporate the effects of allelic dependence caused by evolutionary relatedness.
authors.affiliation: Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, United Kingdom. a.hepler@ucl.ac.uk
authors.forename: Amanda B
authors.initials: AB
authors.lastname: Hepler
authors.forename: Bruce S
authors.initials: BS
authors.lastname: Weir
mesh_terms: D000483:Alleles; D001499:Bayes Theorem; D016172:DNA Fingerprinting; D053803:Forensic Genetics; D005787:Gene Frequency; D006801:Humans; D016013:Likelihood Functions; D008297:Male; D008957:Models, Genetic; D010334:Paternity; D011336:Probability; D012984:Software