ProbRank An efficient DNA database search method for complex mixtures per a quantitative likelihood ratio model

Authors
Publication date 07-2023
Journal Forensic Science International: Genetics
Article number 102884
Volume | Issue number 65
Number of pages 7
Organisations
  • Faculty of Science (FNWI) - Swammerdam Institute for Life Sciences (SILS)
Abstract
Searching a DNA Database with a DNA profile from an evidentiary trace can provide investigative leads in a forensic case. Various searching approaches exist such as conventional methods based on matching alleles or more advanced methods computing likelihood ratios (LR) while considering drop-in and drop-out. Here we examine the potential of using a quantitative LR model (EuroForMix model incorporated in ProbRank method) that takes peak heights into account in comparison to a qualitative LR model (LRmix model implemented in SmartRank method). Both methods present DNA database candidates in order of decreasing LR. Especially regarding minor contributors in complex mixtures, the method using the quantitative model outperforms the method using the qualitative model in terms of sensitivity and specificity as more true donors and less adventitious matches are retrieved. ProbRank is to be implemented in DNAStatistX and is sufficiently fast for daily use.
Document type Article
Language English
Published at https://doi.org/10.1016/j.fsigen.2023.102884
Other links https://www.scopus.com/pages/publications/85156214693
Permalink to this page
Back