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Exploring Forensic Scenarios with TrueAllele ® Mixture Automation 59th Annual Meeting American Academy of Forensic Sciences February, 2007 Mark W Perlin,

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Presentation on theme: "Exploring Forensic Scenarios with TrueAllele ® Mixture Automation 59th Annual Meeting American Academy of Forensic Sciences February, 2007 Mark W Perlin,"— Presentation transcript:

1 Exploring Forensic Scenarios with TrueAllele ® Mixture Automation 59th Annual Meeting American Academy of Forensic Sciences February, 2007 Mark W Perlin, PhD, MD, PhD Pittsburgh, PA USA Cybergenetics © 2003-2007 Employee, Shareholder, and Discussion of Commercial Products or Services

2 So many cases, so little time meeting the data challenge review years DNA data generate

3 Do the best job possible Look at all the good data Ignore the bad data Consider every possibility Obtain the most match information

4 DNA evidence person

5 DNA evidence person specimen

6 DNA evidence person specimenSTR data

7 DNA evidence person specimenSTR dataprofile

8 DNA evidence person specimenSTR dataprofile

9 Consider every possibility every allele call all mixing weights stochastic effects stutter artifact peak imbalance specimen combinations

10 DNA profile ambiguity data a b abab bb Use wild card [* b] List possibilities [a b], [b b] Attach probability 0.6 0.4

11 Match DNA profiles Match Information logarithm – Very large number: “billion billion” or 10 18 Use the exponent: 18 Match Information = Prob(specific) Prob(random)

12 Comparing interpretation via match information Wildcards 11.9 Listing 15.9 Probability 17.2 Information

13 Scientific calculator interpret DNA match DNA database engine

14 Linear Mixture Analysis J Forensic Sci 2001 46 (6) 1372-1378

15 "What if...?" scenarios process additional samples? which samples should be used? is there too much data? discard low quality data? combine low signal data? solve serial crimes? how many mixture contributors?

16 Obtain DNA data

17 Infer DNA profile

18 Match DNA profile 17.3

19 How many contributors? "What if" scenarios

20 Discard bad data

21 Low-level informative data

22 Using informative data 7.9

23 Using informative data 7.9 11.4

24 Combine informative data 12.9

25 Serial crime investigation 12.9

26 Many sample combinations Which subset of DNA samples gives the most informative result? seven groupings

27 TrueAllele scientific calculator 20 interpret CPUs 1 match computer central database database interpret match

28 Combining low level data seven groupings

29 Do the best job possible Look at all the good data Ignore the bad data Consider every possibility Obtain the most match information

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