Journal Article

Impact of allelic dropout on evidential value of forensic DNA profiles using RMNE

F. Van Nieuwerburgh, E. Goetghebeur, M. Vandewoestyne and D. Deforce

in Bioinformatics

Volume 25, issue 2, pages 225-229
Published in print January 2009 | ISSN: 1367-4803
Published online November 2008 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btn608

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Motivation: Two methods are commonly used to report on evidence carried by forensic DNA profiles: the ‘Random Man Not Excluded’ (RMNE) approach and the likelihood ratio (LR) approach. It is often claimed a major advantage of the LR method that dropout can be assessed probabilistically.

Results: In this article, a new RMNE measure is proposed that like-wise accounts for allelic dropout in an observed forensic DNA profile. We discuss the necessary calculations, underline their simplicity and provide a tool for performing the calculations.

Availability: An Excel file with preprogrammed calculations of RMNE probabilities for DNA profiles up to 16 loci and with a maximum of two dropouts is available at: http://www.labfbt.UGent.be/RMNE.php

Contact: dieter.deforce@ugent.be

Journal Article.  3905 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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