The Triumph and Tragedy of DNA Evidence

Slides:



Advertisements
Similar presentations
DNA Mixture Interpretations and Statistics – To Include or Exclude Cybergenetics © Prescription for Criminal Justice Forensics ABA Criminal Justice.
Advertisements

Finding Truth in DNA Mixture Evidence Innocence Network Conference April, 2013 Charlotte, NC Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA.
How Inclusion Interpretation of DNA Mixture Evidence Reduces Identification Information American Academy of Forensic Sciences February, 2013 Washington,
Creating informative DNA libraries using computer reinterpretation of existing data Northeastern Association of Forensic Scientists November, 2011 Newport,
Preventing rape in the military through effective DNA computing Forensics Europe Expo Forensics Seminar Theatre April, 2014 London, UK Mark W Perlin, PhD,
TrueAllele ® Casework Validation on PowerPlex ® 21 Mixture Data Australian and New Zealand Forensic Science Society September, 2014 Adelaide, South Australia.
Revolutionising DNA analysis in major crime investigations The Investigator Conferences Green Park Conference Centre May, 2014 Aylesbury, Buckinghamshire.
Revolutionising DNA analysis in major crime investigations The Investigator Conferences Green Park Conference Centre May, 2014 Aylesbury, Buckinghamshire.
No DNA Left Behind: When "inconclusive" really means "informative" Schenectady County District Attorney’s Office January, 2014 Mark W Perlin, PhD, MD,
Scientific Validation of Mixture Interpretation Methods 17th International Symposium on Human Identification Sponsored by the Promega Corporation October,
Challenging DNA Evidence The Fifth Judicial District of Pennsylvania Criminal Division February, 2015 Pittsburgh, PA Mark W Perlin, PhD, MD, PhD Cybergenetics,
How TrueAllele ® Works (Part 2) Degraded DNA and Allele Dropout Cybergenetics Webinar November, 2014 Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh,
Separating Familial Mixtures, One Genotype at a Time Northeastern Association of Forensic Scientists November, 2014 Hershey, PA Ria David, PhD, Martin.
Cybergenetics Webinar January, 2015 Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA Cybergenetics © How TrueAllele ® Works (Part 4)
Cracking the DNA mixture code – computer analysis of UK crime cases Forensics Europe Expo Forensic Innovation Conference April, 2014 London, UK Mark W.
Forensic Science & Criminal Law: Cutting Edge DNA Strategies Pennsylvania Association of Criminal Defense Lawyers September, 2015 Hotel Monaco, Pittsburgh,
Unleashing Forensic DNA through Computer Intelligence Forensics Europe Expo Forensic Innovation Conference April, 2013 London, UK Mark W Perlin, PhD, MD,
Getting Past First Bayes with DNA Mixtures American Academy of Forensic Sciences February, 2014 Seattle, WA Mark W Perlin, PhD, MD, PhD Cybergenetics,
Take me out to the ball game. Take me out to the ball game Take me out to the ball game Take me out to the ball game Take me out to the ball game The.
TrueAllele ® Computing: All the DNA, all the time Continuing Professional Development Sydney, Australia March, 2014 Mark W Perlin, PhD, MD, PhD Cybergenetics,
Murder in McKeesport October 25, 2008 Tamir Thomas.
When Good DNA Goes Bad International Conference on Forensic Research & Technology October, 2012 Chicago, Illinois Mark W Perlin, PhD, MD, PhD Cybergenetics,
Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA Cybergenetics © Duquesne University October, 2015 Pittsburgh, PA What’s in a Match?
Open Access DNA Database Duquesne University March, 2013 Pittsburgh, PA Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA Cybergenetics ©
Exploring Forensic Scenarios with TrueAllele ® Mixture Automation 59th Annual Meeting American Academy of Forensic Sciences February, 2007 Mark W Perlin,
Objective DNA Mixture Information in the Courtroom: Relevance, Reliability & Acceptance NIST International Symposium on Forensic Science Error Management:
Death Needs Answers: The DNA Evidence Cybergenetics © Andrea Niapas Book Launch Pittsburgh, PA May, 2013 Mark W Perlin, PhD, MD, PhD Cybergenetics,
Data summary – “alleles” Threshold Over threshold, peaks are labeled as allele events All-or-none allele peaks, each given equal status Allele Pair 8,
Pathology Informatics Summit Association for Pathology Informatics
Science & Sorcery in Forensic DNA Evidence
DNA: TrueAllele® Statistical Analysis, Probabilistic Genotyping
The Triumph and Tragedy of DNA Evidence
A Match Likelihood Ratio for DNA Comparison
Forensic Stasis in a World of Flux
Overcoming Bias in DNA Mixture Interpretation
Validating TrueAllele® genotyping on ten contributor DNA mixtures
Pioneers of Forensic Science
Shedding Light on Inconclusive DNA: TrueAllele® Computer Analysis
How to Defend Yourself Against DNA Mixtures
video time
Explaining the Likelihood Ratio in DNA Mixture Interpretation
DNA identification pathway
PCAST report • DNA mixture limits 3 contributors 20% fraction
Take Me Out to the Ballgame!
Distorting DNA evidence: methods of math distraction
On the threshold of injustice: manipulating DNA evidence
Virginia TrueAllele® Validation Study: Casework Comparison
Solving sexual assault cases using DNA mixture evidence
Solving Crimes using MCMC to Analyze Previously Unusable DNA Evidence
Investigative DNA Databases that Preserve Identification Information
PowerPoint by Susan Will
DNA Identification: Inclusion Genotype and LR
Forensic Thinking, Fast and Slow
DNA Identification: Stochastic Effects
Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA, USA
DNA Identification: Biology and Information
DNA Identification: Biology and Information
Forensic match information: exact calculation and applications
severed carotid artery
Question What is a threshold? Cybergenetics ©
DNA identification pathway
Probabilistic Genotyping to the Rescue for Pinkins and Glenn
Interactive Slide It’s spring time. Time to warm up your people with a little song about America’s favorite past time. The next slide can be added to.
DNA Transfer for Lawyers
DNA Identification: Biology and Information
DNA Identification: Mixture Interpretation
Exonerating the Innocent with Probabilistic Genotyping
Testifying about probabilistic genotyping results
David W. Bauer1, PhD Nasir Butt2, PhD Jeffrey Oblock2
Using probabilistic genotyping to distinguish family members
Presentation transcript:

The Triumph and Tragedy of DNA Evidence Friendship Village May, 2017 Pittsburgh, PA Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA Cybergenetics © 2003-2017 Cybergenetics © 2003-2011

National Academy of Sciences Trouble in River City 2009 Where’s the “science” in Forensic Science?

DNA biology Cell Chromosome Locus Nucleus

allele length is 10 repeats Short tandem repeat DNA locus paragraph Take me out to the ball game take me out with the crowd buy me some peanuts and Cracker Jack I don't care if I never get back let me root root root root root root root root root root for the home team, if they don't win, it's a shame
for it's one, two, three strikes, you're out at the old ball game 23 volumes in cell's DNA encyclopedia "root" repeated 10 times, so allele length is 10 repeats

DNA genotype 10, 12 A genetic locus has two DNA sentences, one from each parent. An allele is the number of repeated words. locus A genotype at a locus is a pair of alleles. mother allele 1 2 3 4 5 6 7 8 9 10 10, 12 ACGT repeated word Many alleles allow for many many allele pairs. A person's genotype is relatively unique. father allele 1 2 3 4 5 6 7 8 9 10 11 12

Simple DNA interpretation Lab Infer Evidence item Evidence data Evidence genotype 10, 12 10 11 12 DNA from one person Compare Known genotype 10, 12

Double, double toil and trouble DNA mixture eye of newt toe of frog Double, double toil and trouble

Pittsburgh skyline

Draw a threshold

Same heights & vacant lots

Simplify data to interpret mixture Apply threshold to find “alleles” Add allele frequencies (f1 + f2 + …) Square sum, take reciprocal Locus “probability of inclusion” (PI) Multiply locus PI values Combined (CPI) match statistic

Unreliable DNA mixture statistics NIST (Commerce Department) study in 2005 Two contributor mixture data, known victim When not “inconclusive”: 213 trillion (14) 31 thousand (4) Forensic DNA labs put on notice ten years ago Cybergenetics © 2007-2010

Biased DNA workflow (1) Choose data (3) Person decides (2) Calculate statistic • Put people in the process • To overcome software limits • And introduce human bias

Falsely identify innocent people

Mixture statistics shut down labs “National accreditation board suspends all DNA testing at D.C. crime lab” The Washington Post April 27, 2015 Did not comply with FBI standards “New protocol leads to reviews of ‘mixed DNA’ evidence” The Texas Tribune September 12, 2015 24,468 lab tests affected

Statistics lack scientific basis Misled courts for 15 years on countless DNA mixtures