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Statistical Evaluation of Forensic DNA Mixtures from Multiple Traces

  • Julia MorteraEmail author
Conference paper
Part of the Studies in Theoretical and Applied Statistics book series (STAS)

Abstract

A statistical model for the quantitative peak information obtained from a forensic DNA mixture sample is illustrated on a real case example. We use the combined information from two DNA traces: to find likelihood ratios to quantify the strength of evidence; to deconvolve the mixtures for the purpose of finding likely profiles of unknown contributors to the traces; and to analyse the artefacts that might be present in the mixture after DNA amplification.

Keywords

Peak Height Bayesian Network Predictive Probability Defence Hypothesis Unknown Individual 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Balding, D.: Evaluation of mixed-source, low-template DNA profiles in forensic science. Proc. Natl Acad. Sci. USA 110(30), 12241–12246 (2013)CrossRefGoogle Scholar
  2. 2.
    Cowell, R.G., Lauritzen, S.L., Mortera, J.: A gamma model for DNA mixture analyses. Bayesian Anal. 2(2), 333–348 (2007)MathSciNetCrossRefzbMATHGoogle Scholar
  3. 3.
    Cowell, R.G., Lauritzen, S.L., Mortera, J.: Probabilistic expert systems for handling artifacts in complex DNA mixtures. Forensic Sci. Int.: Genet. 5(3), 202–209 (2011)CrossRefGoogle Scholar
  4. 4.
    Cowell, R.G., Graversen, T., Lauritzen, S., Mortera, J.: Analysis of DNA mixtures with artefacts. J. R. Stat. Soc. Ser. C (with discussion) 64, 1–48 (2015)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Dawid, A.P., Mortera, J., Vicard, P.: Object-oriented Bayesian networks for complex forensic DNA profiling problems. Forensic Sci. Int. 169, 195–205 (2007)CrossRefGoogle Scholar
  6. 6.
    Good, I.J.: Studies in the history of probability and statistics. XXXVII A. M. Turing’s statistical work in World War II. Biometrika 66(2), 393–396 (1979)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Graversen, T.: DNAmixtures: statistical inference for mixed samples of DNA. R package version 0.1-3 (2013). http://dnamixtures.r-forge.r-project.org
  8. 8.
    Green, P.J., Mortera, J.: Sensitivity of inferences in forensic genetics to assumptions about founder genes. Ann. Appl. Stat. 3(2), 731–763 (2009)MathSciNetCrossRefzbMATHGoogle Scholar
  9. 9.
    Lindley, D.V.: A problem in forensic science. Biometrika 64(2), 207–213 (1977)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Puch-Solis, R., Rodgers, L., Mazumder, A., Pope, S., Evett, I., Curran, J., Balding, D.: Evaluating forensic DNA profiles using peak heights, allowing for multiple donors, allelic dropout and stutters. Forensic Sci. Int.: Genet. 7(5), 555–563 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of EconomicsUniversità Roma TreRomaItaly

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