Evaluation of DNA Mixtures Accounting for Sampling Variability

Yuk-Ka Chung (), Yue-Qing Hu (), Zhu De-Gang and Wing K. Fung ()
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Yuk-Ka Chung: The University of Hong Kong, Department of Statistics and Actuarial Science
Yue-Qing Hu: The University of Hong Kong, Department of Statistics and Actuarial Science
Zhu De-Gang: Nanjing Forestry University
Wing K. Fung: The University of Hong Kong, Department of Statistics and Actuarial Science

A chapter in Proceedings of COMPSTAT'2010, 2010, pp 437-444 from Springer

Abstract: Abstract In the conventional evaluation of DNA mixtures, the allele frequencies are often taken as constants. But they are in fact estimated from a sample taken from a population and thus the variability of the estimates has to be taken into account. Within a Bayesian framework, the evaluation of DNA mixtures accounting for sampling variability in the population database of allele frequencies are discussed in this paper. The concise and general formulae are provided for calculating the likelihood ratio when the people involved are biologically related. The implementation of the formula is demonstrated on the analysis of a real example. The resulting formulae are shown to be more conservative, which is generally more favorable to the defendant.

Keywords: Bayesian inference; Hardy-Weinberg equilibrium; relatedness coefficient; likelihood ratio; mixed stain; relative (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2604-3_42

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DOI: 10.1007/978-3-7908-2604-3_42

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