skip navigation


Register for Latest Research

Stay Informed
Register with NCJRS to receive NCJRS's biweekly e-newsletter JUSTINFO and additional periodic emails from NCJRS and the NCJRS federal sponsors that highlight the latest research published or sponsored by the Office of Justice Programs.

NCJRS Abstract

The document referenced below is part of the NCJRS Virtual Library collection. To conduct further searches of the collection, visit the Virtual Library. See the Obtain Documents page for direction on how to access resources online, via mail, through interlibrary loans, or in a local library.


NCJ Number: 251805 Find in a Library
Title: Advancing Probabilistic Approaches to Interpreting Low-template DNA Profiles and Mixtures: Developing Theory, Implementing Practice
Author(s): Kirk E. Lohmueller; Keith Inman
Date Published: July 2018
Page Count: 57
Sponsoring Agency: National Institute of Justice (NIJ)
Washington, DC 20531
US Dept of Justice NIJ Pub
Washington, DC 20531
Grant Number: 2013-DN-BX-K029
Sale Source: US Dept of Justice NIJ Pub
810 Seventh Street, NW
Washington, DC 20531
United States of America
Document: PDF
Type: Program/Project Description; Report (Grant Sponsored); Report (Study/Research); Research (Applied/Empirical)
Format: Document; Document (Online)
Language: English
Country: United States of America
Annotation: This is the report on a project that assessed the performance of a probabilistic approach applied to “complex” DNA samples, which include samples that contain low levels of DNA and/or mixtures of DNA from multiple individuals; and it also improved and extended “Lab Retriever,” an existing freely available program that can assist in understanding the weight of evidence yielded from these complex DNA profiles.
Abstract: Overall, this project has increased knowledge regarding the interpretation of complex DNA profiles and added new features to a freely available software program that continues to assist forensic DNA analysts in accurately and efficiently assessing the weight of such evidence. Specifically, this project produced a set of low-template DNA mixtures. This dataset has been used in other parts of the project and will be made available to the community for evaluation of various statistical approaches. The project also evaluated the performance of estimates of drop-out probabilities in mixed samples. Further, it computed and evaluated results of likelihood ratios (LRs) for simulated complex mixtures of two, three, four, and five contributors. In addition, it evaluated the role of stutter in mixture interpretation. The report notes that the Lab Retriever software has a number of attractive features, including an open source platform, a basis in published algorithms, flexibility in terms of the hypotheses that can be considered, nearly instantaneous run-time, and a friendly graphic user interface.
Main Term(s): Forensic sciences
Index Term(s): DNA extraction; DNA Typing; Investigative techniques; Mixed DNA profiles; National Institute of Justice (NIJ); NIJ final report
To cite this abstract, use the following link:

*A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's website is provided. Tell us how you use the NCJRS Library and Abstracts Database - send us your feedback.