DNA Mixture Interpretation: Effect of the Hypothesis on the Likelihood Ratio
Forensic Sciences, DNA, Alleles
Forensic Sciences, DNA
Forensic Science and Technology
Although nuclear forensic DNA tests are standard practice in most forensic science laboratories, complex DNA mixture analysis remains a challenge. Although new to many laboratories, the concept of probabilistic genotyping has been presented for over a decade as a tool to aid in mixture analysis. Probabilistic genotyping can be defined as a mathematical approach using the likelihood ratio (LR) to estimate if an individual is likely to be included or excluded in a DNA mixture based on statistical inference. Mathematical modelling of biological data has been shown to be less biased than using analyst discretion in determining an inclusion of a DNA donor to a complex mixture. Still, there are caveats to using probabilistic genotyping software that become evident when applied to forensic casework. The effect of allele sharing and the uncertainty of the number of contributors to the likelihood ratio hypothesis are discussed.
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Coyle, Heather Miller, "DNA Mixture Interpretation: Effect of the Hypothesis on the Likelihood Ratio" (2019). Forensic Science Publications. 45.
Heather (2019). DNA Mixture Interpretation: Effect of the Hypothesis on the Likelihood Ratio. IRJCS:: International Research Journal of Computer Science, Volume VI, 672-675. doi://10.26562/IRJCS.2019.SPCS10081