title: A Bayesian approach to validating STR multiplex databases for use in forensic casework.
abstract: A previous paper in this journal has described the conventional statistical analysis of three databases (Caucasian, Afro-Caribbean and Asians from the Indian subcontinent) where individuals are typed at six short tandem repeat (STR) loci. This paper presents a Bayesian analysis of the same data and the approach is centred on the concept of estimating coancestry coefficients from mixed databases. Posterior distributions for the three databases are presented and the discussed and the consequences of implementing bootstrap estimation procedures are also shown.
authors.affiliation: Department of Mathematics, Imperial College of Science, Technology and Medicine, London, UK.
authors.forename: L A
authors.initials: LA
authors.lastname: Foreman
authors.forename: A F
authors.initials: AF
authors.lastname: Smith
authors.forename: I W
authors.initials: IW
authors.lastname: Evett
mesh_terms: D001499:Bayes Theorem; D019992:Databases as Topic; D005554:Forensic Medicine / Q000379:methods*; D006801:Humans; D007194:India; D016013:Likelihood Functions; D008957:Models, Genetic; D044469:Racial Groups / Q000235:genetics; D012091:Repetitive Sequences, Nucleic Acid; D018401:Sample Size; D014900:West Indies