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Testifying about probabilistic genotyping results

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Presentation on theme: "Testifying about probabilistic genotyping results"— Presentation transcript:

1 Testifying about probabilistic genotyping results
Mid-Atlantic Association of Forensic Scientists May, 2019 Morgantown, WV William Allan, MS Cybergenetics, Pittsburgh, PA Cybergenetics © Cybergenetics ©

2 First case example

3 DNA biology Cell Chromosome Locus Nucleus Cybergenetics ©

4 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 Cybergenetics ©

5 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

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

7 DNA mixture interpretation
Lab Infer Evidence item Evidence data Evidence genotype 10, 20% 11, 30% 11, 50% DNA from two people Compare Known genotype 11, 12

8 Computers can use all the data
Quantitative peak heights at locus D12S391 peak size peak height

9 How the computer thinks
Consider every possible genotype solution Explain the peak pattern Better explanation has a higher likelihood

10 How the computer thinks
Consider every possible genotype solution Explain the peak pattern Better explanation has a higher likelihood

11 How the computer thinks
Consider every possible genotype solution Explain the peak pattern Better explanation has a higher likelihood

12 How the computer thinks
Consider every possible genotype solution Explain the peak pattern Better explanation has a higher likelihood

13 How the computer thinks
Consider every possible genotype solution Worse explanation has a lower likelihood

14 Evidence genotype Objective genotype determined solely from the DNA data. Never sees a comparison reference. 36% 12% 7% 4% 5% 7% 3% 4% 2% 2% 2% 2%

15 How much more does the suspect match the evidence
DNA match information How much more does the suspect match the evidence than a random person? Prob(evidence match) Prob(coincidental match) 5x 36% 7%

16 Match information at 22 loci

17 Is the suspect in the evidence?
A match between the gun and the suspect is: 59.2 quadrillion times more probable than a coincidental match to an unrelated African-American person 2.69 quintillion times more probable than a coincidental match to an unrelated Caucasian person 4.11 quintillion times more probable than a coincidental match to an unrelated Southeast Hispanic person 1.25 quintillion times more probable than a coincidental match to an unrelated Southwest Hispanic person

18 Noncontributor Analysis for the suspect
Only 1 in 22.2 quintillion people would match as strongly

19 Second case example

20 How the computer thinks
Consider every possible genotype solution Explain the peak pattern Better explanation has a higher likelihood

21 Evidence genotype Objective genotype determined solely from the DNA data. Never sees a comparison reference. 24% 24% 7% 6% 6% 4% 4% 4% 4%

22 How much more does the suspect match the evidence
DNA match information How much more does the suspect match the evidence than a random person? Prob(evidence match) Prob(coincidental match) 2x 24% 14%

23 Match information at 15 loci

24 Is the suspect in the evidence?
A match between the steering wheel and the suspect is: 414 times more probable than a coincidental match to an unrelated African-American person 47.6 thousand times more probable than a coincidental match to an unrelated Caucasian person 21.3 thousand times more probable than a coincidental match to an unrelated Hispanic person

25 Noncontributor Analysis for the suspect
Only 1 in 4.45 thousand people would match as strongly

26 Third case example

27 How much more does the defendant match the evidence
DNA match information How much more does the defendant match the evidence than a random person? Prob(evidence match) Prob(coincidental match) 1/6 13% 2%

28 Match information at 23 loci

29 Is the defendant in the evidence?
A match between the revolver and the defendant is: 2.54 thousand times less probable than a coincidental match to an unrelated African-American person 41.6 thousand times less probable than a coincidental match to an unrelated Caucasian person 22.2 thousand times less probable than a coincidental match to an unrelated Hispanic person

30 Contributor Analysis for the defendant
Only 1 in 101 thousand people would be excluded as strongly

31 TrueAllele YouTube channel
More information • Courses • Newsletters • Newsroom • Presentations • Publications • Webinars TrueAllele YouTube channel

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