Document Type
Article
Publication Date
11-2005
Publication Source
Journal of Forensic Sciences
Abstract
Samples containing DNA from two or more individuals can be difficult to interpret. Even ascertaining the number of contributors can be challenging and associated uncertainties can have dramatic effects on the interpretation of testing results. Using an FBI genotypes dataset, containing complete genotype information from the 13 Combined DNA Index System (CODIS) loci for 959 individuals, all possible mixtures of three individuals were exhaustively and empirically computed. Allele sharing between pairs of individuals in the original dataset, a randomized dataset and datasets of generated cousins and siblings was evaluated as were the number of loci that were necessary to reliably deduce the number of contributors present in simulated mixtures of four or less contributors. The relatively small number of alleles detectable at most CODIS loci and the fact that some alleles are likely to be shared between individuals within a population can make the maximum number of different alleles observed at any tested loci an unreliable indicator of the maximum number of contributors to a mixed DNA sample. This analysis does not use other data available from the electropherograms (such as peak height or peak area) to estimate the number of contributors to each mixture. As a result, the study represents a worst case analysis of mixture characterization. Within this dataset, approximately 3% of three-person mixtures would be mischaracterized as two-person mixtures and more than 70% of four-person mixtures would be mischaracterized as two- or three-person mixtures using only the maximum number of alleles observed at any tested locus.
Inclusive pages
1-6
ISBN/ISSN
0022-1198
Document Version
Published Version
Copyright
Copyright © 2005, ASTM International; provided per permission of ASTM International
Publisher
ASTM International
Volume
50
Peer Reviewed
yes
Issue
6
eCommons Citation
Paoletti, David R.; Doom, Travis E.; Krane, Carissa M.; Raymer, Michael L.; and Krane, Dan E., "Empirical Analysis of the STR Profiles Resulting from Conceptual Mixtures" (2005). Biology Faculty Publications. 130.
https://ecommons.udayton.edu/bio_fac_pub/130
Included in
Biology Commons, Biotechnology Commons, Cell Biology Commons, Genetics Commons, Microbiology Commons, Molecular Genetics Commons
Comments
This document is provided for download by permission of the publisher. Permission documentation is on file.