no dna left behind: when "inconclusive" really means "informative" schenectady...
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![Page 1: No DNA Left Behind: When "inconclusive" really means "informative" Schenectady County District Attorney’s Office January, 2014 Mark W Perlin, PhD, MD,](https://reader037.vdocuments.net/reader037/viewer/2022110100/56649e2c5503460f94b1be52/html5/thumbnails/1.jpg)
No DNA Left Behind: When "inconclusive"
really means "informative"
Schenectady County District Attorney’s OfficeSchenectady County District Attorney’s OfficeJanuary, 2014January, 2014
Mark W Perlin, PhD, MD, PhD Mark W Perlin, PhD, MD, PhD Cybergenetics, Pittsburgh, PACybergenetics, Pittsburgh, PA
Cybergenetics © 2003-2014Cybergenetics © 2003-2014
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True DNA match information
11.05 (5.42)113 billion
TrueAllele
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Pre-2010 human mixture review
CPI6.83 (2.22)6.68 million
11.05 (5.42)113 billion
TrueAllele
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Post-2010 human mixture review
CPI6.83 (2.22)6.68 million
2.15 (1.68)140
mCPI
11.05 (5.42)113 billion
TrueAllele
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DNA genotype
10, 121 2 3 4 5 6 7 8
ACGT
1 2 3 4 5
A genetic locus has two DNA sentences,one from each parent.
locus
Many alleles allow formany many allele pairs. A person's genotype is relatively unique.
motherallele
fatherallele
repeated word
An allele is the numberof repeated words.
A genotype at a locusis a pair of alleles.
9 10
6 7 8 9 101112
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DNA identification pathwayEvidence genotype
Known genotype
10 12
10, 12
10, 12
Lab Infer
Compare
Evidence item
Evidencedata
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Match information
Prob(evidence matches suspect)
Prob(coincidental match)before
data
(population)
after(evidence)
20
=100%
5%
=
At the suspect's genotype,identification vs. coincidence?
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DNA mixture dataQuantitative peak heights at a locus
peak size
peakheight
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DNA pathway brokenEvidence genotype
Known genotype
???
10, 12
Lab Infer
Compare
Evidence item
Evidencedata
+
7 10 12 14
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Human interpretation issues
Evidence• call good data inconclusive• peaks are too low for them• too many contributors to handle• potential examination bias
Database• hit by association, not by match• comparison: make false hits• restrict upload: lose true hits
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TrueAllele® Casework
Evidence• preserve data information• use all peaks, high or low• any number of contributors• entirely objective, no bias
Database• hit based on LR match statistic• sensitive: find true hits• specific: only true hits
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DNA pathway restoredLab InferEvidence
itemEvidence
data
7 10 12 14
+
Known genotype
10, 10 @ 30%10, 12 @ 50%10, 14 @ 20%
10, 12
Compare
Evidence genotype
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Match information preserved
Prob(evidence matches suspect)
Prob(coincidental match)before
data
(population)
after(evidence)
10
= 50%
5%
=
At the suspect's genotype,identification vs. coincidence?
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Gang DNA from 5 crime scenes
Food mart • gun • hat
Hardware • safe • phone
Jewelry • counter • safe Convenience
• keys • tape
Market • hat 1 • hat 2 • overalls • shirt
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Laboratory DNA processing
• gun • hat • safe • phone • counter • safe • keys • tape • hat 1 • hat 2 • overalls • shirt
10 reference items5 victims • V1 • V2 • V3 • V4 • V55 suspects • S1 • S2 • S3 • S4 • S5
12 evidence itemsScene 1
Scene 2
Scene 3 Scene 4 Scene 5
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Cybergenetics TrueAllele® timeline
Day Activity1 Received evidence data from lab2 Started computer processing4 Replicated evidence results9 Received known references10 Calculated DNA match statistics12 Reported match results to lab
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TrueAllele computer matches
Food mart • gun • hat
Hardware • safe • phone
Jewelry • counter • safe Convenience
• keys • tape
Market • hat 1 • hat 2 • overalls • shirt
Suspects: S1, S2, S3, S4, S5
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DNA match statistic:553 million
People of California v. People of California v. Charles Lewis LawtonCharles Lewis Lawtonand Dupree Donyell Langstonand Dupree Donyell Langston
November, 2012November, 2012Bakersfield, CABakersfield, CA
Admissibility hearingAdmissibility hearingand trial testimonyand trial testimony
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Peer-reviewed validationsPerlin MW, Sinelnikov A. An information gap in DNA evidence interpretation. PLoS ONE. 2009;4(12):e8327.
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):1430-47.
Ballantyne J, Hanson EK, Perlin MW. DNA mixture genotyping by probabilistic computer interpretation of binomially-sampled laser captured cell populations: Combining quantitative data for greater identification information. Science & Justice. 2013;53(2):103-14.
Perlin MW, Belrose JL, Duceman BW. New York State TrueAllele® Casework validation study. Journal of Forensic Sciences. 2013;58(6):1458-1466.
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Expected match statistic
DNA mixture weight
Number of zerosin the DNA
match statistic
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Specific match statistic
Number of zeros in a nonmatching DNA statistic
Numberof
occurrences
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Computers can use all the dataQuantitative peak heights at locus D8S1179
peakheight
peak size
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People may use less of the data
Threshold
Over threshold, peaks are labeled as allele events
All-or-none allele peaks,each given equal status
Under threshold, alleles vanish
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How the computer thinksConsider every possible genotype solution
Explain thepeak pattern
Better explanationhas a higher likelihood
One person’s allele pair
Another person's Another person's allele pairallele pair
A third person's allele pairA third person's allele pair
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Objective genotype determined solely from the DNA data.
Never sees a reference.
Evidence genotype
51%
1%2%1% 1% 3%
20%
1% 2% 3% 1% 1% 2% 3% 3% 1% 1% 1%1%
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DNA match information
Prob(evidence match)
Prob(coincidental match)
How much more does the suspect match the evidencethan a random person?
8x
51%
6%
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Match information at 15 loci
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Is the suspect in the evidence?
A match between the front counterand Dupree Langston is:
553 million times more probable than a coincidental match to an unrelated Black person
731 million times more probable than a coincidental match to an unrelated Caucasian person
208 million times more probable thana coincidental match to an unrelated Hispanic person
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Eliminated NYS DNA backlog
Expert system on-line
05,000
10,00015,00020,00025,00030,00035,00040,00045,00050,00055,00060,000
Mar
. 06
June
06
Sep. 0
6
Dec. 0
6
Mar
. 07
June
07
Sep. 0
7
Dec. 0
7
Mar
. 08
June
08
Sep. 0
8
Dec. 0
8
Month / Year
Sa
mp
les
TrueAllele Expert System On-Line
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Reanalyzed WTC DNA data
18,000 victim remains
2,700 missing people
match
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Preserve more match information
7.037.03
6.246.2413.2613.26
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Lots more match information
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Approved
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TrueAllele in New York State
Counties:• Cayuga• Chemung• Schenectady• St. Lawrence• Tompkins• Westchester
Cybergenetics has analyzed DNA case evidence
Crimes:• murder• rape
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TrueAllele in criminal cases
Court testimony:• state• federal• military• foreign
About 150 case reports filed on DNA evidence
Crimes:• armed robbery• child abduction• child molestation• murder• rape• terrorism• weapons
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TrueAllele usage in the US
Casework systemInterpretation servicesAdmissibility hearing
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TrueAllele computer age
Currently used to:• eliminate DNA backlogs• reduce forensic costs• solve crimes• find criminals• convict the guilty• free the innocent• create a safer society
Objective, reliable truth-seeking tool• solves the DNA mixture problem• handles low-copy and degraded DNA• provides accurate DNA match statistics• automates DNA evidence interpretation
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More TrueAllele information
http://www.cybgen.com/information
• Courses• Newsletters• Newsroom• Presentations• Publications
http://www.youtube.com/user/TrueAlleleTrueAllele YouTube channel
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No DNA left behind
Dr. Mark PerlinPittsburgh, PA
TrueAllele Casework at the NYS Police• Installed• Validated• Trained• Certified• Documented
Dr. Barry DucemanMr. Ray Wickenheiser
Forensic Investigation CenterNew York State Police
Albany, NY