When Good DNA Goes Bad International Conference on Forensic Research & Technology October, 2012 Chicago, Illinois Mark W Perlin, PhD, MD, PhD Cybergenetics,

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Presentation transcript:

When Good DNA Goes Bad International Conference on Forensic Research & Technology October, 2012 Chicago, Illinois Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA Cybergenetics ©

DNA mixture evidence Virginia reevaluates DNA evidence in 375 cases July 16, 2011 “Mixture cases are their own little nightmare,” says William Vosburgh, director of the D.C. police’s crime lab. “It gets really tricky in a hurry.” “If you show 10 colleagues a mixture, you will probably end up with 10 different answers” Dr. Peter Gill, Human Identification E-Symposium, 2005

A person's genotype 8, ACGT A genetic locus has two DNA sentences, one from each parent. 9 locus Many alleles allow for many many allele pairs. A person's genotype is relatively unique. mother allele father allele repeated word An allele is the number of repeated words. A genotype at a locus is a pair of alleles.

DNA mixture genotypes Allele size DNA amount First contributor Second contributor Third contributor M. W. Perlin. "DNA identification science," In: Wecht CH, editor. Forensic Sciences. Albany, NY: LexisNexis ® Matthew Bender ® ; 2012; Chapter 37C.

Good DNA evidence data First contributor Second contributor Third contributor

Misinterpreted, data goes bad Below threshold, data unused Above threshold, peak heights are ignored

TrueAllele solves mixtures First contributor Second contributor Third contributor Objective & thorough; DNA match statistic Perlin MW, Legler MM, Spencer CE, Smith JL, Allan WP, Belrose JL, Duceman BW. "Validating TrueAllele ® DNA mixture interpretation," Journal of Forensic Sciences. 2011;56(6):

Commonwealth v. Lyons Location: Crime: Evidence: True information: Human guess: Reason: Outcome: Eastern United States Murder Sweatshirt 12 4 Degraded mixture Death penalty Human Information

Commonwealth v. Foley Eastern United States Murder Victim's fingernails 11 4 Minor 7% DNA mixture Life in prison Information Location: Crime: Evidence: True information: Human guess: Reason: Outcome: Human M. W. Perlin, "The Blairsville slaying and the dawn of DNA computing," in Death Needs Answers: The Cold-Blooded Murder of Dr. John Yelenic, A. Niapas, New Kensington, PA: Grelin Press, 2012.

The Queen v. Shivers Northern Ireland Murder, terror Mobile phone 9 0 (inconclusive) Low DNA amount 25 years in prison Information Location: Crime: Evidence: True information: Human guess: Reason: Outcome: Human M. W. Perlin & J. Galloway, "Computer DNA evidence interpretation in the Real IRA Massereene terrorist attack," Evidence Technology Magazine. 2012;10(3):20-23.

State v. Diggins Information Location: Crime: Evidence: True information: Human guess: Reason: Outcome: Human

Commonwealth v. Doe Information Location: Crime: Evidence: True information: Human guess: Reason: Outcome: Human

Quantitative interpretation: accurately excludes suspect other victim? Penta E locus Allele length Peak height Match information Computer -0.25

Human misinterpretation can falsely implicate Penta E locus Allele length Peak height Match information Computer Human says nothing Threshold X X X X X

Computer reinterpretation, charges were dropped informationhumancomputer suspect218 other218 victim20

Commonwealth v. Brown Information Location: Crime: Evidence: True information: Human guess: Reason: Outcome: Human

State v. Smith Western United States Assault with weapon Gun 0 (inconclusive) Mixture Still in prison Information Location: Crime: Evidence: True information: Human guess: Reason: Outcome: Human

DNA database exoneration? Computer-inferred evidence genotype Post-conviction test Information < 0 The right person? Information ~ 9 10 million offenders Can’t use CODIS – Good data gone bad M. W. Perlin, "Investigative DNA databases that preserve identification information," American Academy of Forensic Sciences 64th Annual Meeting, Atlanta, GA, 2012.

TrueAllele v. People Information Human Good DNA data can make identifications Computer can determine true information Human review does not always correlate And then, good DNA data goes bad

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