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NIST DNA Analyst Webinar Series: Probabilistic Genotyping and Software Programs (Part 2)

NIST hosted a series of free webinars focused on topics of interest to DNA analysts. This three-hour webinar was held on September 18, 2014, from 11:00 am – 2:00 pm (EDT), and focused on probabilistic genotyping for complex low-level DNA mixtures.

Background

Recent improvements in both STR chemistry and CE instrumentation have exacerbated interpretation as laboratories try to analyze highly complex mixtures such as "touch" items with (a) more than two contributors and/or (b) low-level contributors with possible dropout. Current strategies to evaluate low-level mixtures with dropout using the binary Likelihood Ratio (LR) are insufficient and may overstate the weight of the evidence.

Recently, the ISFG published recommendations for the interpretation of low-level mixtures when dropout is possible (Gill et al. 2012). Software programs are now available that utilize a "semi-continuous" approach, incorporating a probability of dropout in the LR; or a "continuous" model of interpretation which incorporates the biological variation within the data.

Goal

To provide an understanding of the benefits of probabilistic genotyping for complex low-level DNA mixtures.

Objectives

This webinar will continue the May 28, 2014 webinar and highlight additional probabilistic genotyping software programs. Four invited speakers with casework experience will share their ideas on why their laboratory considered the need for probabilistic genotyping software.

Attendees

The workshop is intended for anyone interested in probabilistic genotyping software packages to aid in the evaluation of mixed DNA profiles, including DNA analysts, DNA technical leaders, laboratory directors, attorneys and consultants. The presentations will be aimed toward an audience with experience in DNA profile interpretation, statistical calculations and population genetics.

Sponsors

NIST logo
 

AGENDA (PDF)

Tim Clayton (LGC Forensics) – LiRa and LiRaHT
Matthew Greenhalgh (Cellmark Forensics) – LikeLTD
Lisa Schiermeier-Wood (Virginia DFS) – TrueAllele Casework
Tim Kalafut (USARMY DFSC) – ArmedXpert
Mike Coble (NIST) - Conclusions

Created September 4, 2014, Updated July 23, 2020