posted on 2019-12-19, 19:20authored byJo-Anne Bright, Duncan Taylor, James CurranJames Curran, John S. Buckleton
<p>DNA databases have revolutionised forensic
science. They are a powerful investigative tool as they have the potential to
identify persons of interest in criminal investigations. Previously, a DNA profile generated from a crime
sample could only be searched for in a database of individuals if the stain was
from single contributor (single source) or if a contributor could unambiguously
be determined from a mixed DNA profile.
This meant that a significant number of samples were unsuitable for
database searching. </p>
<p><br></p><p>The advent of continuous methods for the
interpretation of DNA profiles offers a way to circumvent this restriction.
Using these methods, each profile on the database may be considered a possible
contributor to a mixture and a likelihood ratio (<i>LR</i>) can be formed. Those
profiles which produce a sufficiently large <i>LR</i>
can serve as an investigative lead. </p>
<p><br></p><p>In this paper empirical studies are
described to determine what constitutes a large <i>LR</i>. We investigate the
effect on a database search of complex mixed DNA profiles with contributors in
equal proportions with dropout as a consideration, and also the effect of an
incorrect assignment of the number of contributors to a profile. In addition, we give, as a demonstration of
the method, the results using two crime samples that were previously unsuitable
for database comparison. We show that effective
management of the selection of samples for searching and the interpretation of the
output can be highly informative. </p>
Funding
US National Institute of Justice- Grant No: 2011-DN-BX-K541