NDLI: The effect of varying the number of contributors on likelihood ratios for complex DNA mixtures.

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The effect of varying the number of contributors on likelihood ratios for complex DNA mixtures.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Benschop, Corina C. G. Haned, Hinda Jeurissen, Loes Gill, Peter D. Sijen, Titia
Description	Author Affiliation: Benschop CC ( Department of Human Biological Traces, Netherlands Forensic Institute, P.O. Box 24044, 2490 AA The Hague, The Netherlands. Electronic address: c.benschop@nfi.minvenj.nl.); Haned H ( Department of Human Biological Traces, Netherlands Forensic Institute, P.O. Box 24044, 2490 AA The Hague, The Netherlands. Electronic address: h.haned@nfi.minvenj.nl.); Jeurissen L ( Department of Human Biological Traces, Netherlands Forensic Institute, P.O. Box 24044, 2490 AA The Hague, The Netherlands. Electronic address: loes.jeurissen@gmail.com.); Gill PD ( National Institute of Public Health, Department of Forensic Biology, P.O. Box 4404 Nydalen, 0403 Oslo, Norway); Sijen T ( Department of Human Biological Traces, Netherlands Forensic Institute, P.O. Box 24044, 2490 AA The Hague, The Netherlands. Electronic address: t.sijen@nfi.minvenj.nl.)
Abstract	Interpretation of DNA mixtures with three or more contributors, defined here as high order mixtures, is difficult because of the inevitability of allele sharing. Allele sharing complicates the estimation of the number of contributors, which is an important parameter to assess the probative value. Consequently, these mixtures may not be deemed suitable for interpretation and reporting. In this study, we generated three-, four- and five-person mixtures with little or no drop-out and with varying levels of allele sharing. For these DNA mixtures we computed likelihood ratios (LRs) using the LRmix model, and always using persons of interest that are true contributors. We assessed the influence of different scenarios on the LR, and used (1) the true or an incorrect number of contributors, (2) zero, one or two anchored individuals and (3) an equal number of contributors under Hp and Hd or an extra contributor under Hd. It was shown that the LR varied considerably when the hypotheses used an incorrect number of contributors, especially when individuals were anchored under the hypotheses. Overall, when analysing high order mixtures, there may occur a transition from LR greater than one to less than one if an incorrect number of contributors is conditioned. This is a result of allele sharing among the multiple contributors rather than allele drop-out, since this study only utilised samples with little or no drop-out.
File Format	HTM / HTML
ISSN	18724973
Journal	Forensic Science International: Genetics
Volume Number	19
e-ISSN	18780326
Language	English
Publisher	Elsevier
Publisher Date	2015-11-01
Publisher Place	Netherlands
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Forensic Sciences Dna Genetics Alleles Humans Likelihood Functions Microsatellite Repeats Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Genetics Pathology and Forensic Medicine

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