Applying a Casework Assessment and Interpretation Approach to Probabilistic Genotyping Results Workshop

Applying a Casework Assessment and Interpretation Approach to Probabilistic Genotyping Results Workshop

Description:

This workshop will give the audience an introduction to casework assessment and interpretation (CAI) approaches for reviewing the outputs (including the likelihood ratio) and diagnostics of probabilistic genotyping software used for the analysis of forensic DNA mixtures. CAI methodology is a formal model for the evaluation of evidence in a balanced, logical, robust and transparent manner.

We will describe the various diagnostics and outputs from such software and give guidance on the assessment of results by way of examples. We will explore issues such as the number of contributors, relatives, and stochastic effects within a mixture. Handouts will be provided.

 

Learning Outcomes:

  1. Improved post-software interpretation of results.
  2. The importance of the review of diagnostics and outputs of PG software for casework.
  3. Provide guidance for a systematic and holistic approach to evaluating diagnostics
  4. Demonstrate an increased confidence for interpreting challenging samples from PG software.

 

Intended Audience:

This workshop is intended for DNA analysts, supervisors, technical leaders, attorneys, and judges. Attendees should be familiar with the concepts of likelihood ratios, PG software, and genotype weights.

 

Tentative Agenda:

Dr. Jo Bright will describe the various diagnostics within the STRmix report, how they are calculated, and their behavior – for both typical and atypical interpretations.

Dr. Michael Coble will describe the generation of genotype weights and likelihood ratios with PG reports.

Ms. Teresa Cheromcha will present casework examples of profiles where atypical weights and diagnostics were observed, their detection and their remediation.

Description:

This workshop will give the audience an introduction to casework assessment and interpretation (CAI) approaches for reviewing the outputs (including the likelihood ratio) and diagnostics of probabilistic genotyping software used for the analysis of forensic DNA mixtures. CAI methodology is a formal model for the evaluation of evidence in a balanced, logical, robust and transparent manner.

We will describe the various diagnostics and outputs from such software and give guidance on the assessment of results by way of examples. We will explore issues such as the number of contributors, relatives, and stochastic effects within a mixture. Handouts will be provided.

 

Learning Outcomes:

  1. Improved post-software interpretation of results.
  2. The importance of the review of diagnostics and outputs of PG software for casework.
  3. Provide guidance for a systematic and holistic approach to evaluating diagnostics
  4. Demonstrate an increased confidence for interpreting challenging samples from PG software.

 

Intended Audience:

This workshop is intended for DNA analysts, supervisors, technical leaders, attorneys, and judges. Attendees should be familiar with the concepts of likelihood ratios, PG software, and genotype weights.

 

Tentative Agenda:

Dr. Jo Bright will describe the various diagnostics within the STRmix report, how they are calculated, and their behavior – for both typical and atypical interpretations.

Dr. Michael Coble will describe the generation of genotype weights and likelihood ratios with PG reports.

Ms. Teresa Cheromcha will present casework examples of profiles where atypical weights and diagnostics were observed, their detection and their remediation.

Pricing:


  • Early Registration$245
  • Standard Registration$295
  • Virtual Registration$125

Workshop currently at capacity. A waitlist is available to join on our registration page.

Brought to you by

Worldwide Association of Women Forensic Experts

Co-Chair

Michael Coble

Professor and Executive Director, Center for Human Identification (CHI), University of North Texas Health Science Center

Michael Coble, PhD, is a Professor and the Executive Director of the Center for Human Identification at the University of North Texas Health Fort Worth. Dr. Coble received his PhD in Genetics from The George Washington University. He has over 100 peer-reviewed publications in forensic DNA analysis and interpretation and is recognized among the top 2% of highly cited researchers worldwide.

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Co-Chair

Jo-Anne Bright

PHF Science

Jo-Anne Bright is a Senior Science Leader within the Forensic Biology group at PHF Science, where she has worked since 1999. Jo is one of the co developers of STRmix™, expert software for the interpretation of forensic DNA profiles and the new Australasian standard.

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