Literature DB >> 28441635

Validation of SmartRank: A likelihood ratio software for searching national DNA databases with complex DNA profiles.

Corina C G Benschop1, Linda van de Merwe2, Jeroen de Jong3, Vanessa Vanvooren4, Morgane Kempenaers4, C P Kees van der Beek5, Filippo Barni6, Eusebio López Reyes7, Léa Moulin8, Laurent Pene8, Hinda Haned9, Titia Sijen2.   

Abstract

Searching a national DNA database with complex and incomplete profiles usually yields very large numbers of possible matches that can present many candidate suspects to be further investigated by the forensic scientist and/or police. Current practice in most forensic laboratories consists of ordering these 'hits' based on the number of matching alleles with the searched profile. Thus, candidate profiles that share the same number of matching alleles are not differentiated and due to the lack of other ranking criteria for the candidate list it may be difficult to discern a true match from the false positives or notice that all candidates are in fact false positives. SmartRank was developed to put forward only relevant candidates and rank them accordingly. The SmartRank software computes a likelihood ratio (LR) for the searched profile and each profile in the DNA database and ranks database entries above a defined LR threshold according to the calculated LR. In this study, we examined for mixed DNA profiles of variable complexity whether the true donors are retrieved, what the number of false positives above an LR threshold is and the ranking position of the true donors. Using 343 mixed DNA profiles over 750 SmartRank searches were performed. In addition, the performance of SmartRank and CODIS were compared regarding DNA database searches and SmartRank was found complementary to CODIS. We also describe the applicable domain of SmartRank and provide guidelines. The SmartRank software is open-source and freely available. Using the best practice guidelines, SmartRank enables obtaining investigative leads in criminal cases lacking a suspect.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  CODIS; DNA database; Forensic science; LRmix; Likelihood ratio; SmartRank

Mesh:

Year:  2017        PMID: 28441635     DOI: 10.1016/j.fsigen.2017.04.008

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  4 in total

Review 1.  Separation/extraction, detection, and interpretation of DNA mixtures in forensic science (review).

Authors:  Ruiyang Tao; Shouyu Wang; Jiashuo Zhang; Jingyi Zhang; Zihao Yang; Xiang Sheng; Yiping Hou; Suhua Zhang; Chengtao Li
Journal:  Int J Legal Med       Date:  2018-05-25       Impact factor: 2.686

Review 2.  A Review of Probabilistic Genotyping Systems: EuroForMix, DNAStatistX and STRmix™.

Authors:  Peter Gill; Corina Benschop; John Buckleton; Øyvind Bleka; Duncan Taylor
Journal:  Genes (Basel)       Date:  2021-09-30       Impact factor: 4.096

3.  Expanding DNA database effectiveness.

Authors:  Ray A Wickenheiser
Journal:  Forensic Sci Int Synerg       Date:  2022-04-05

4.  PIDS: A User-Friendly Plant DNA Fingerprint Database Management System.

Authors:  Bin Jiang; Yikun Zhao; Hongmei Yi; Yongxue Huo; Haotian Wu; Jie Ren; Jianrong Ge; Jiuran Zhao; Fengge Wang
Journal:  Genes (Basel)       Date:  2020-03-30       Impact factor: 4.096

  4 in total

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