TrueAllele ® Genetic Calculator: Implementation in the NYSP Crime Laboratory NYS DNA Subcommittee May 19, 2010 Barry Duceman, Ph.D New York State Police.

Slides:



Advertisements
Similar presentations
DNA Identification: Mixture Weight & Inference
Advertisements

Overcoming DNA Stochastic Effects 2010 NEAFS & NEDIAI Meeting November, 2010 Manchester, VT Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA Cybergenetics.
Forensic DNA Inference ICFIS 2008 Lausanne, Switzerland Mark W Perlin, PhD, MD, PhD Joseph B Kadane, PhD Robin W Cotton, PhD Cybergenetics ©
DNA Mixture Interpretations and Statistics – To Include or Exclude Cybergenetics © Prescription for Criminal Justice Forensics ABA Criminal Justice.
New York State Police TrueAllele ® Casework Developmental Validation Cybergenetics © New York State DNA Subcommittee March, 2010.
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,
3 Person Example #2 Suspect Boxer Shorts (The Ladies Man)
Preventing rape in the military through effective DNA computing Forensics Europe Expo Forensics Seminar Theatre April, 2014 London, UK Mark W Perlin, PhD,
TrueAllele ® Interpretation of DNA Mixture Evidence 9 th International Conference on Forensic Inference and Statistics August, 2014 Leiden University,
How TrueAllele® Works (Part 1)
TrueAllele ® Casework Validation on PowerPlex ® 21 Mixture Data Australian and New Zealand Forensic Science Society September, 2014 Adelaide, South Australia.
Using TrueAllele ® Casework to Separate DNA Mixtures of Relatives California Association of Criminalists October, 2014 San Francisco, CA Jennifer Hornyak,
Kern Regional Crime Laboratory Laboratory Director: Dr. Kevin W. P. Miller TRUEALLELE® WORK AND WORKFLOW: KERN COUNTY’S FIRST CASES APRIL 23, 2014.
Revolutionising DNA analysis in major crime investigations The Investigator Conferences Green Park Conference Centre May, 2014 Aylesbury, Buckinghamshire.
Expert Systems for Automated STR Analysis SWGDAM Quantico, VA Mark W. Perlin January, 2003.
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,
TrueAllele ® Mixture Interpretation Cybergenetics © th Annual DNA Technology Educational Seminar Centre of Forensic Sciences and the Promega.
DNA Mixture Statistics Cybergenetics © Spring Institute Commonwealth's Attorney's Services Council Richmond, Virginia March, 2013 Mark W.
More informative DNA identification: Computer reinterpretation of existing data Ria David, PhD Cybergenetics, Pittsburgh, PA Cybergenetics ©
Scientific Validation of Mixture Interpretation Methods 17th International Symposium on Human Identification Sponsored by the Promega Corporation October,
DNA Identification Science: The Search for Truth Cybergenetics © Summer Research Symposium Duquesne University July, 2010 Mark W Perlin, PhD,
Computer Interpretation of Uncertain DNA Evidence National Institute of Justice Computer v. Human June, 2011 Arlington, VA Mark W Perlin, PhD, MD, PhD.
Presented by: Jamie L. Belrose NYS DNA Sub-committee Meeting; New York, NY March 5, 2010 New York State Police Validation of TrueAllele: a Statistical.
TrueAllele ® Modeling of DNA Mixture Genotypes California Association of Crime Laboratory Directors October, 2014 San Francisco, CA Mark W Perlin, PhD,
Using Expert Systems (TrueAllele ® ) for Forensic STR DNA Analysis National Institute of Justice Grantees Meeting 2011 Using Expert Systems (TrueAllele.
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)
Unleashing Forensic DNA through Computer Intelligence Forensics Europe Expo Forensic Innovation Conference April, 2013 London, UK Mark W Perlin, PhD, MD,
Rapid DNA Response: On the Wings of TrueAllele Mid-Atlantic Association of Forensic Scientists May, 2015 Cambridge, Maryland Martin Bowkley, Matthew Legler,
Getting Past First Bayes with DNA Mixtures American Academy of Forensic Sciences February, 2014 Seattle, WA Mark W Perlin, PhD, MD, PhD Cybergenetics,
Compute first, ask questions later: an efficient TrueAllele ® workflow Midwestern Association of Forensic Scientists October, 2014 St. Paul, MN Martin.
TrueAllele ® interpretation of Allegheny County DNA mixtures Cybergenetics © Continuing Legal Education Allegheny County Courthouse February,
Virginia TrueAllele ® Validation Study: Casework Comparison Presented at AAFS, February, 2013 Published in PLOS ONE, March, 2014 Mark W Perlin, PhD, MD,
Murder in McKeesport October 25, 2008 Tamir Thomas.
DNA Mapping the Crime Scene: Do Computers Dream of Electric Peaks? 23rd International Symposium on Human Identification October, 2012 Nashville, TN Mark.
Open Access DNA Database Duquesne University March, 2013 Pittsburgh, PA Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA Cybergenetics ©
Jack Ballantyne and Mark Perlin International Conference on Inference and Statistics, July , Seattle, WA.
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:
DNA Identification: Quantitative Data Modeling Cybergenetics © Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA TrueAllele ® Lectures.
Data summary – “alleles” Threshold Over threshold, peaks are labeled as allele events All-or-none allele peaks, each given equal status Allele Pair 8,
Separating DNA Mixtures by Computer to Identify and Convict a Serial Rapist Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA Garett Sugimoto,
Four person DNA mixture
DNA: TrueAllele® Statistical Analysis, Probabilistic Genotyping
A Match Likelihood Ratio for DNA Comparison
Validating TrueAllele® genotyping on ten contributor DNA mixtures
Explaining the Likelihood Ratio in DNA Mixture Interpretation
DNA identification pathway
On the threshold of injustice: manipulating DNA evidence
“Using Computer Technology to Overcome Bottlenecks in the Forensic DNA Testing Process and Improve Data Recovery from Complex Samples”
Virginia TrueAllele® Validation Study: Casework Comparison
Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA, USA
Suffolk County TrueAllele® Validation
Solving Crimes using MCMC to Analyze Previously Unusable DNA Evidence
Investigative DNA Databases that Preserve Identification Information
DNA Identification: Inclusion Genotype and LR
New York State Police TrueAllele® Validation
DNA Identification: Stochastic Effects
Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PA, USA
DNA Identification: Biology and Information
severed carotid artery
DNA identification pathway
DNA Identification: Mixture Interpretation
David W. Bauer1, PhD Nasir Butt2, PhD Jeffrey Oblock2
Using probabilistic genotyping to distinguish family members
Presentation transcript:

TrueAllele ® Genetic Calculator: Implementation in the NYSP Crime Laboratory NYS DNA Subcommittee May 19, 2010 Barry Duceman, Ph.D New York State Police Forensic Investigation Center

Establish core group Identify first case type Side-by-side comparison Assessment of comparison Deploy TrueAllele case type Identify second case type Side-by-side comparison Assessment of comparison Deploy TrueAllele case type Implementation Timeline

Deployment Metrics Concordance Productivity Information Content Objectivity Ease of Use

Software Concept Data quality assessment A software tool that will provide…

Software Concept Data quality assessment Unattended parallel processing of multiple data inquiries. Access to the relevant data at any point in the analysis. Challenge to the software responses with alternative scenarios. Resolves mixtures Maximum information from the data A software tool that will provide…

Standard The laboratory must establish alternative criteria (e.g., quantitation values or use of a probabilistic genotype approach) for addressing potential stochastic amplification. The criteria must be supported by empirical data and internal validation and must be documented in the standard operating procedures. - SWGDAM Interpretation Guideline for Autosomal STR Typing

Software Concept Data quality assessment Unattended parallel processing of multiple data inquiries. Access to the relevant data at any point in the analysis. Challenge to the software responses with alternative scenarios. Resolves mixtures Maximum information from the data Objective genotype inference for STR DNA patterns (including perpetrators contributing to mixtures). A software tool that will provide…

TrueAllele ® Process Steps 1. Data 2. Request 3. Solve 4. Review 5. Explain 6. Report

Easy Mixture Case 50:50 Mixture Data One Unknown Contributor Victim Reference Suspect Reference

1. STR Evidence Data

5-FAM Dye View

D18S51 Locus

2. Request Evidence Victim Suspect

Create Victim Item Evidence Victim Suspect Victim

Create Victim Request Evidence Victim Suspect Victim

Create Evidence Request Evidence Victim Suspect Victim Evidence

Interpretation Requests Evidence Victim Suspect

3. Solving with TrueAllele

Parallel Interpretation

4. Review: Mixture Weight49%

Definite Genotype

5. Explain Reasoning

6. Report: Likelihood Ratio SuspectEvidence log(LR) log(CLR) 13.52

TrueAllele LR Calculation

Interesting Mixture Case 65:35 Mixture Data Two Unknown Contributors No Victim Reference Suspect Reference

D5S818 Locus Data

Interpretation Requests Evidence Suspect

Solving with TrueAllele

Review: Mixture Weight64%

Genotype: Major Contributor

Better Fit’s More Likely It 10, 1210, 11

Likelihood Ratio Evidence Suspect Evidence log(LR) log(CPI) 7.01 theta = 1%

Report: LR Calculation

Hard Mixture Case 60:40 Mixture Data Two Unknown Contributors No Victim Reference Two Suspect References

vWA Locus Data

Interpretation Requests Evidence Suspect 1 Other Evidence Suspect 1 Suspect 2 Other

Solving with TrueAllele

Review: Mixture Weight58%42%

GenotypesMajor Minor

Reports: Likelihood Ratio Suspect Suspect theta = 1% log(LR)

Human Review: No Match Statistic The STR DNA mixture profile from the blood stained swab of the trigger of the rifle (evidence item) is consistent with DNA from suspect 1 admixed with DNA from suspect 2.

TrueAllele ® 2 Validation NYS DNA Databank and Cybergenetics STATUS: EXPERT SYSTEM FUNCTIONS Without human intervention, the software 1.Identifies peaks, assigns allele designations 2.Performs lab-defined quality checks 3.Assigns mixture weights 4.Perform mixture deconvolution 5.Matches DNA patterns 6.Assigns statistics 7.Prepares reports

TrueAllele Information: 86 Match Stats (100%) Preserves all the identification information

Human Review Information: 24 Match Stats (28%) Preserves 20% of the identification information