Abstract
DNA profile analysis is not a simple process. Stringent demands are placed on the accuracy and consistency of forensic evidence so that complex, robust, and reproducible guidelines are necessary to assist the analyst and ensure mistakes are eliminated before a final profile is reported. The guidelines used for forensic DNA profile interpretation are formulated by investigation and statistical evaluation of all aspects of the analytical procedure. All the resulting rules, formulas, and thresholds are perfectly suited to programming of “expert systems”—software programs that imitate the human expert in decision-based processes to formulate a conclusion. Expert systems in forensic DNA analysis will contribute greatly to this field by increasing analytical throughput. The net result of this will be an increase in the human resources available for the research and development of improved methodologies, to ensure that forensic DNA profiling continues to advance at its current impressive rate.
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References
Howitt T. Maximising the value of DNA evidence through a service approach. Paper presented at the 17th meeting of the International Association of Forensic Sciences, Hong Kong, August, 2005.
AmpF/STR® SGM Plus™ PCR amplification kit User’s Manual. Applied Biosystems, Foster City, CA, USA. Copyright 2001.
Gill P, Sparkes R, Kimpton C. Development of guidelines to designate alleles using an STR multiplex system. Forensic Sci Int 1997;89:185–197.
Gill P, Sparkes R, Pinchin R, Clayton T, Whitaker J, Buckleton J. Interpreting simple STR mixtures using allele peak areas. Forensic Sci Int 1998;91:41–43.
Gill P, Sparkes B, Buckleton JS. Interpretation of simple mixtures of when artefacts such as stutters are present—with special reference to multiplex STRs used by the Forensic Science Service. Forensic Sci Int 1998;95:213–224.
Evett IW, Gill PD, Lambert JA. Taking account of peak areas when interpreting mixed DNA profiles. J Forensic Sci 1998;43:62–69.
Gill P, Urquhart A, Millican E, et al. A new method of STR interpretation using inferential logic—development of a criminal intelligence database. Int J Legal Med 1996;109:14–22.
Werrett D, Pinchin R, Hale R. Problem solving: DNA data acquisition and analysis. Profiles in DNA 1998;2:3–6.
Perlin MW, Burkes RC, Hoop RC, Hoffman EP. Towards fully automated genotyping: Allele assignment, pedigree construction, phase determination, and recombination detection in Duchenne muscular dystrophy. Am J Hum Genet 1994;55:777–787.
Perlin MW, Lancia G, Ng S-K. Towards fully automated genotyping: genotyping microsatellite markers by deconvolution. Am J Hum Genet 1995;57:1199–1210.
Bill M, Gill P, Curran J. PENDULUM—a guideline-based approach to the interpretation of STR mixtures. Forensic Sci Int 2005;148:181–189.
Clayton T, Whitaker JP, Sparkes RL, Gill P. Analysis and interpretation of mixed forensic stains using DNA STR profiling. Forensic Sci Int 1998;91:55–70.
Dawid AP, Mortera J, Pascali VL, Van Boxel D. Probabilistic expert systems for forensic inference from genetic markers. Scand J of Statist 2002;29:577–595.
Cowell RG. FINEX: a probabilistic expert system for forensic identification. Forensic Sci Int 2003;134:196–206.
Mortera J, Dawid AP, Lauritzen SL. Probabilistic expert systems for DNA mixture profiling. Theoretical Population Biology 2003;63:191–205.
Gill P, Curran J, Elliot K. A graphical simulation model of the entire DNA process associated with the analysis of short tandem repeat loci. Nucleic Acids Research 2005;33:632–643.
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Graham, E.A.M. Automated DNA profile analysis. Forens Sci Med Pathol 1, 285–288 (2005). https://doi.org/10.1385/FSMP:1:4:285
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DOI: https://doi.org/10.1385/FSMP:1:4:285