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Separating DNA Mixtures by Computer to Identify and Convict a Serial Rapist Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA Garett Sugimoto,

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Presentation on theme: "Separating DNA Mixtures by Computer to Identify and Convict a Serial Rapist Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA Garett Sugimoto,"— Presentation transcript:

1 Separating DNA Mixtures by Computer to Identify and Convict a Serial Rapist Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA Garett Sugimoto, MS Kern Regional Crime Laboratory, Bakersfield, CA Cybergenetics © 2003-2016 American Academy of Forensic Sciences February, 2016 Las Vegas, NV

2 July & August 2013

3 Crime scene #1 Purse strap Phone cord Phone

4 Crime scene #2 Pants Shirt stain

5 Crime scene #3 Bathtub handle Zip tie in road

6 911 Call Girl: Hi. 911: Hello, 911. Girl: Ah yes, there’s this guy. He has my Mom naked. 911: OK. Girl: And he had me blind-folded. 911: OK. How old are you? Girl: Nine. 911: Nine. Where’s your Mom at now? Girl: What? You’re not my Dad. You’re not my Dad. Get off. (Scream)

7 DNA database hit Billy Ray Johnson Major contributor to DNA of zip tie in road

8 Biological evidence Kern Regional Crime Laboratory thirty seven swabs and cuttings garments blankets apartment surfaces skin body cavities telephones zip ties Early October 2013 low-level DNA mixtures containing 3 or 4 people

9 TrueAllele ® Casework ViewStation User Client Database Server Interpret/Match Expansion Visual User Interface VUIer™ Software Parallel Processing Computers

10 Quantitative mixture data KRCL tested biological items, generated STR data zip tie in road locus D13S317 Receive evidence data

11 DNA largely inconclusive Threshold Over threshold, peaks are labeled as allele events All-or-none allele peaks, each given equal status Under threshold, alleles vanish

12 Separate genotypes Consider every possible genotype solution Explain the peak pattern Better explanation has a higher likelihood One person's allele pair Another person's allele pair A third person's allele pair

13 Objective genotype determined solely from the DNA data. Never sees a comparison reference. Evidence genotype 68% 13% 19%

14 DNA match information Prob(evidence match) Prob(coincidental match) How much more does the suspect match the evidence than a random person? 10x 68% 7%

15 Match information at 15 loci

16 Is the suspect in the evidence? A match between the zip tie and Billy Ray Johnson is: 211 quintillion times more probable than a coincidental match to an unrelated Black person 100,000,000,000,000,000,000 20 zeros after the one 10x10x10x10x10x10x10x10x10x10x 10x10x10x10x10x10x10x10x10x10 20 powers of ten

17 Crime scene #1 matches Late October 2013 Receive reference data BRJ 2 5 5

18 Crime scene #2 matches BRJ 6 7 9

19 Crime scene #3 matches BRJ 3 20

20 Informative DNA mixtures 8 mixture items vs. 5 victims + 1 suspect DNA match statistics corroborate victim statements BRJ

21 December 2013: Grand Jury Cybergenetics TrueAllele Report Arrest

22 March 2015: Trial CaseItemDescription C1147X Billy Ray Johnson 13-CL-01721C0431XPurse strap1.63 C0432XPhone cord4.53 C0984XPhone4.62 13-CL-01927C0801SStain on pants6.24 C0802SStain from pants6.73 C0806SBack of shirt8.86 13-CL-02349C0929XBathtub handle2.74 C0937XZip tie20.32

23 Validation studies

24 Match error rates False positive rate in Specificity Table 8

25 Crime lab runs TrueAllele

26 Concordant Kern lab report Independent TrueAllele processing

27 April 2015

28 May 2015

29 More information http://www.cybgen.com/information Courses Newsletters Newsroom Presentations Publications Webinars http://www.youtube.com/user/TrueAllele TrueAllele YouTube channel perlin@cybgen.com

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