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Probabilistic Genotyping of Evidentiary DNA Typing Results – An Online Workshop Series
Module 3: Probabilistic Genotyping Software and Output

Wednesday, May 22nd, 2019 12:00:00 PM ET – 4:00:00 PM ET
Duration: 4 hour(s)

Over a dozen probabilistic genotyping software programs are commercially available or accessible as freeware. This module presents an instructive overview by software developers of three programs that are supported by published developmental validation. Instructors will impart the inner workings of the software with the goal of facilitating understanding of the computing approach and other features, parameter settings, mathematical and population genetic components of the likelihood ratio calculation, and the means of addressing allelic variance, artifacts, peak sharing, allele dropout and drop-in, DNA degradation, inhibition and other profile features. The programs will be demonstrated, and output files will be explained along with any diagnostic tools to aid in the analysis of output data.

Instructors:

Dr. Michael Coble – Center for Human Identification at the University of North Texas Health Science Center in Fort Worth, Texas
Dr. Mark Perlin – Chief Scientific and Executive Officer at Cybergenetics
Dr. Jo-Anne Bright – Senior Science Leader at the Institute of Environmental Science and Research Limited (ESR) New Zealand
Dr. Peter Gill – University of Oslo, Oslo, Norway

Detailed Learning Objectives:

· Describe the features and capabilities of different probabilistic genotyping software programs and their data input requirements
· Evaluate output data in the context of a case scenario
· Articulate difference in the programs that impact the likelihood ratio
· Relay information about the functions, merits, and limitations of each program


Recommended Reading:

Alladio, E., Omedei, M., Cisana, S., D’Amico, G., Caneparo, D., Vincenti, M, and Garofano ,P. DNA mixtures interpretation – A proof-of-concept multi-software comparison highlighting different probabilistic methods’ performances on challenging samples. Forensic Science International: Genetics, 2018. 37:143-150.

Bille, T.W., Weitz, S.M., Coble, M.D., Buckleton, J. and Bright, J.-A. Comparison of the performance of different models for the interpretation of low level mixed DNA profiles. Electrophoresis, 2014. 35:3125–3133.

You, Y. and Balding, D.J. A comparison of software for the evaluation of complex DNA profiles. Forensic Science International: Genetics, 2019. 40: 114-119.

EUROFORMIX:

Website: https://www.euroformix.com

An introduction to Euroformix at: https://vimeo.com/173566540/0af0b13406

Cowell, R.G., et al., Analysis of forensic DNA mixtures with artifacts. Journal of the Royal Statistical Society, series C, 2015. 64:1-48.

Gill, P., Ø. Bleka, and T. Egeland, Does an English appeal court ruling increase the risks of miscarriages of justice when complex DNA profiles are searched against the national DNA database? Forensic Science International: Genetics, 2014. 13:167-175.

Bleka, O., et al., A comparative study of qualitative and quantitative models used to interpret complex STR DNA profiles. Forensic Sci Int Genet, 2016. 25:85-96.

Bleka, Ø., et al., dnamatch2: An open source software to carry out large scale database searches of mixtures using qualitative and quantitative models. Forensic Science International: Genetics Supplement Series, 2017. 6:e404-e406.

Bleka, Ø., et al., Open source software EuroForMix can be used to analyze complex SNP mixtures. Forensic Science International: Genetics, 2017. 31:105-110.

STRMIX™:

Website: https://www.strmix.com

STRmix overview video at: https://vimeo.com/173566540/0af0b13406

Bright, J.-A., Taylor, D.A., McGovern, C.E., Cooper, S.J., Russell, L.J., Abarno D.V. and Buckleton, J.S. Developmental validation of STRmix™, expert software for the interpretation of forensic DNA profiles. Forensic Science International: Genetics, 2016. 23:226-239.

Moretti, T.R., Just, R.S., Kehl, S.C, Willis, L.E. Buckleton, J.S., Bright, J.-A. and Taylor, D.A. Internal validation of STRmix™ for the interpretation of single source and mixed DNA profiles. Forensic Science International: Genetics, 2017. 29:126-144.

Buckleton J.S., Bright, J.-A., Gittelson, S., Moretti, T.R., Onorato, A.J., Bieber, F.R., et al. The Probabilistic Genotyping Software STRmix: Utility and Evidence for its Validity. Journal of the Forensic Sciences, 2019. 64(2): 393-405.

Taylor, D.A. Using continuous DNA interpretation methods to revisit likelihood ratio behavior. Forensic Science International: Genetics, 2014. 11: 144-153.

Bright, J.-A. et al. Internal validation of STRmix; A multi-laboratory response to PCAST. Forensic Science International: Genetics, 2018. 34:11-24.

TRUEALLELE®:

Website: https://www.cybgen.com

TrueAllele® process overview at: https://www.youtube.com/user/TrueAllele/

Greenspoon, S.A., Schiermeier-Wood, L. and Jenkins, B.C. Establishing the Limits of TrueAllele® Casework: A Validation Study. J Forensic Sci. 2015. 60:1263-1276

Perlin, M.W., Belrose, J.L. and Duceman, B.W. New York State TrueAllele ® casework validation study. J Forensic Sci. 2013. 58:1458-1466.

Perlin, M.W., Dormer, K., Hornyak, J., Schiermeier-Wood, L. and Greenspoon, S. TrueAllele® casework on Virginia DNA mixture evidence: computer and manual interpretation in 72 reported criminal cases. PLoS One. 2014. 9:e92837.

Perlin, M.W., Hornyak, J.M., Sugimoto, G., Miller, K.W. TrueAllele® Genotype identification on DNA mixtures containing up to five unknown contributors. J Forensic Sci. 2015. 60:857-68.

Perlin, M.W., Legler, M.M., Spencer, C.E., Smith, J.L., Allan, W.P., Belrose, J.L. and Duceman, B.W. Validating TrueAllele® DNA mixture interpretation. J Forensic Sci. 2011. 56:1430-1447.

Perlin, M.W. and Sinelnikov, A. An information gap in DNA evidence interpretation. PLoS One, 2009. 4:e8327.


Funding for this Forensic Technology Center of Excellence event has been provided by the National Institute of Justice.

Registration:

Please read this short announcement and follow the registration instructions below.

RTI International and the National Institute of Justice’s Forensic Technology Center of Excellence are continually striving to bring you the optimum learning experience when delivering our online events and webinars. To better disseminate our content to the growing forensic community, we are pleased to announce that we are starting to host our events on a new virtual platform. This platform will provide a better user interface, putting more content, discussion, and knowledge at your fingertips.

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Step 1: Go to https://learning.forensicac.org/login/signup.php to create a new account.

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Step 3: Once your account creation is complete, navigate to this link to enroll in and register for this webinar: https://learning.forensicac.org/course/view.php?id=329

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Finally, we are excited about our new virtual platform and welcome any feedback you would like to provide at ForensicCOE@rti.org.