Object-oriented Bayesian networks for paternity cases with allelic dependencies.
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.
Hepler
Amanda B
AB
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, United Kingdom. a.hepler@ucl.ac.uk
Weir
Bruce S
BS
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