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Evaluation of DNA Mixtures Accounting for Sampling Variability

In: Proceedings of COMPSTAT'2010

Author

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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)

  • De-Gang Zhu

    (Nanjing Forestry University)

  • Wing K. Fung

    (The University of Hong Kong, Department of Statistics and Actuarial Science)

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.

Suggested Citation

  • Yuk-Ka Chung & Yue-Qing Hu & De-Gang Zhu & Wing K. Fung, 2010. "Evaluation of DNA Mixtures Accounting for Sampling Variability," Springer Books, in: Yves Lechevallier & Gilbert Saporta (ed.), Proceedings of COMPSTAT'2010, pages 437-444, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2604-3_42
    DOI: 10.1007/978-3-7908-2604-3_42
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