STRmix™ collaborative exercise on DNA mixture interpretation. (May 2019)
- Record Type:
- Journal Article
- Title:
- STRmix™ collaborative exercise on DNA mixture interpretation. (May 2019)
- Main Title:
- STRmix™ collaborative exercise on DNA mixture interpretation
- Authors:
- Bright, Jo-Anne
Cheng, Kevin
Kerr, Zane
McGovern, Catherine
Kelly, Hannah
Moretti, Tamyra R.
Smith, Michael A.
Bieber, Frederick R.
Budowle, Bruce
Coble, Michael D.
Alghafri, Rashed
Allen, Paul Stafford
Barber, Amy
Beamer, Vickie
Buettner, Christina
Russell, Melanie
Gehrig, Christian
Hicks, Tacha
Charak, Jessica
Cheong-Wing, Kate
Ciecko, Anne
Davis, Christie T.
Donley, Michael
Pedersen, Natalie
Gartside, Bill
Granger, Dominic
Greer-Ritzheimer, MaryMargaret
Reisinger, Erick
Kennedy, Jarrah
Grammer, Erin
Kaplan, Marla
Hansen, David
Larsen, Hans J.
Laureano, Alanna
Li, Christina
Lien, Eugene
Lindberg, Emilia
Kelly, Ciara
Mallinder, Ben
Malsom, Simon
Yacovone-Margetts, Alyse
McWhorter, Andrew
Prajapati, Sapana M.
Powell, Tamar
Shutler, Gary
Stevenson, Kate
Stonehouse, April R.
Smith, Lindsey
Murakami, Julie
Halsing, Eric
Wright, Darren
Clark, Leigh
Taylor, Duncan A.
Buckleton, John
… (more) - Abstract:
- Highlights: Inter-laboratory study with 174 participants using STRmix™. CE analysis settings resulted in larger differences in LR than PG software. Differences in log( LR ) due to MCMC variation were less than one order of magnitude. Abstract: An intra and inter-laboratory study using the probabilistic genotyping (PG) software STRmix™ is reported. Two complex mixtures from the PROVEDIt set, analysed on an Applied Biosystems™ 3500 Series Genetic Analyzer, were selected. 174 participants responded. For Sample 1 (low template, in the order of 200 rfu for major contributors) five participants described the comparison as inconclusive with respect to the POI or excluded him. Where LR s were assigned, the point estimates ranging from 2 × 10 4 to 8 × 10 6 . For Sample 2 (in the order of 2000 rfu for major contributors), LR s ranged from 2 × 10 28 to 2 × 10 29 . Where LR s were calculated, the differences between participants can be attributed to (from largest to smallest impact): varying number of contributors ( NoC ), the exclusion of some loci within the interpretation, differences in local CE data analysis methods leading to variation in the peaks present and their heights in the input files used, and run-to-run variation due to the random sampling inherent to all MCMC-based methods. This study demonstrates a high level of repeatability and reproducibility among the participants. For those results that differed from the mode, the differences in LR were almost always minor orHighlights: Inter-laboratory study with 174 participants using STRmix™. CE analysis settings resulted in larger differences in LR than PG software. Differences in log( LR ) due to MCMC variation were less than one order of magnitude. Abstract: An intra and inter-laboratory study using the probabilistic genotyping (PG) software STRmix™ is reported. Two complex mixtures from the PROVEDIt set, analysed on an Applied Biosystems™ 3500 Series Genetic Analyzer, were selected. 174 participants responded. For Sample 1 (low template, in the order of 200 rfu for major contributors) five participants described the comparison as inconclusive with respect to the POI or excluded him. Where LR s were assigned, the point estimates ranging from 2 × 10 4 to 8 × 10 6 . For Sample 2 (in the order of 2000 rfu for major contributors), LR s ranged from 2 × 10 28 to 2 × 10 29 . Where LR s were calculated, the differences between participants can be attributed to (from largest to smallest impact): varying number of contributors ( NoC ), the exclusion of some loci within the interpretation, differences in local CE data analysis methods leading to variation in the peaks present and their heights in the input files used, and run-to-run variation due to the random sampling inherent to all MCMC-based methods. This study demonstrates a high level of repeatability and reproducibility among the participants. For those results that differed from the mode, the differences in LR were almost always minor or conservative. … (more)
- Is Part Of:
- Forensic science international. Volume 40(2019)
- Journal:
- Forensic science international
- Issue:
- Volume 40(2019)
- Issue Display:
- Volume 40, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 40
- Issue:
- 2019
- Issue Sort Value:
- 2019-0040-2019-0000
- Page Start:
- 1
- Page End:
- 8
- Publication Date:
- 2019-05
- Subjects:
- Forensic DNA interpretation -- Probabilistic genotyping -- STRmix -- Inter-laboratory study -- Intra-laboratory study
Forensic genetics -- Periodicals
Génétique légale -- Périodiques
Forensic genetics
Electronic journals
Periodicals
614.1 - Journal URLs:
- http://www.clinicalkey.com.au/dura/browse/journalIssue/18724973 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/18724973 ↗
http://www.sciencedirect.com/science/journal/18724973 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.fsigen.2019.01.006 ↗
- Languages:
- English
- ISSNs:
- 1872-4973
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3987.764050
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British Library HMNTS - ELD Digital store - Ingest File:
- 11926.xml