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Bioinformatics Advance Access originally published online on November 23, 2008
Bioinformatics 2009 25(2):225-229; doi:10.1093/bioinformatics/btn608
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© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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

F. Van Nieuwerburgh 1, E. Goetghebeur 2, M. Vandewoestyne 1 and D. Deforce 1,*

1Laboratory for Pharmaceutical Biotechnology, Ghent University, Harelbekestraat 72, B-9000 Ghent and 2Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281, S9, B-9000 Ghent, Belgium

*To whom correspondence should be addressed.


  Abstract

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{at}ugent.be

Associate Editor: Martin Bishop

Received on June 27, 2008; revised on November 20, 2008; accepted on November 20, 2008

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